ICIEOM2020_FULL_0013_37189

A FRAMEWORK FOR PERFORMANCE EVALUATION IN HUMANITARIAN OPERATIONS BASED ON THE BENEFICIARY PERSPECTIVE

ÁREA: ICIEOM2020 / 13. Disaster Management
AUTORES: BRENDA DE FARIAS OLIVEIRA CARDOSO;THARCISIO COTTA FONTAINHA;ADRIANA LEIRAS

10.14488/ijcieom2020_full_0013_37189

performance evaluation; humanitarian operations; beneficiary; slr.

Performance evaluation in humanitarian operations is a vital issue as it contributes for better results and faster service. One of the evaluation perspectives is related to how humanitarian operations can be effective and efficient in helping beneficiaries. In this sense, this paper proposes a framework for evaluating the performance of humanitarian operations based on the beneficiaries' perception. The research applies a systematic literature review, which identifies twenty-five papers and six frameworks considered as a basis for the development of the proposed framework. Our framework is composed of five steps (i.e., organizational objectives, process selection, category selection, data collect, and principles and results of the evaluation) and correspondent detailed items to support its application by professionals in real-life scenarios.

ICIEOM2020_FULL_0012_37191

A MODEL FOR PRICING THE LICENSE OF BRAND-NAME DRUGS USING COOPERATIVE GAME THEORY

ÁREA: ICIEOM2020 / 12. Heathcare Operations Management
AUTORES: AMIRHOSSEIN MOSTOFI;VIPUL JAIN;YI MEI

10.14488/ijcieom2020_full_0012_37191

brand-name drugs, license valuation, cooperative game theory, nash bargaining solution.

This study examines the license valuation process of brand-name drugs using cooperative game theory. Brand-name drugs are non-generic and patented products which are produced by a domestic company licensed by the main manufacturer. To achieve the study aims, first, the pricing process of drugs in the local market is briefly described, and then, the benefits of cooperation between the foreign company and domestic company and local government are explained to show how these benefits can be presented as a licensing contract in the valuation process. Also, the advantages of licensing are described by implementing the proposed model on a sample problem. Furthermore, the factors that risk this valuation are presented by analyzing the sensitivity of the parameters of the problem. The Nash bargaining solution is also borrowed in this paper so as to consider the bargaining power of the alliance members. Our results showed that the assumption of equal negotiation power distorts the results from the common royalty rate, but when more bargaining power is considered for the government, as the legislator, the results of the proposed mechanism more resemble the conventional approaches

ICIEOM2020_FULL_0011_37323

A MODELLING TOOL FOR TEACHING AND LEARNING SIMULATION

ÁREA: ICIEOM2020 / 11. Production Engineering Education
AUTORES: ANTONIO A C VIEIRA;GUILHERME PEREIRA;LUIS DIAS;JOSE OLIVEIRA

10.14488/ijcieom2020_full_0011_37323

teaching/learning strategies, activity world view, discrete-event simulation, activity cycle diagrams (acd).

Teaching strategies at universities, regarding discrete event simulation, tend to solely focus on commercial tools, resulting on too much focus being ap-plied on syntax and semantics of a particular tool, rather than on simulation basic concepts. In this context, a tool is proposed, which allows the user to model a real system using ACD (Activity Cycle Diagrams) diagrams Â? and automatically creating the corresponding simulation program. The effort needed to develop ACD requires a complete understanding of the real system behavior, and simultaneously favors a good structure of that knowledge and a full comprehension of the simulation foundations. The aim of this paper is therefore to explore ways of focusing on learning simulation basics through a great effort on modeling issues.

ICIEOM2020_FULL_0002_37466

A SIMPLE PURCHASE DECISION-MAKING TOOL ? DEVELOPMENT AND USE

ÁREA: ICIEOM2020 / 02. Logistics and Supply Chain Management
AUTORES: MILENA MANSUR;CARLOS MALIGO

10.14488/ijcieom2020_full_0002_37466

purchase, logistics, simulation, education zone of influence

This work presents a digital tool that can help any distributor facing purchase decisions involving three possible suppliers of the same good. Upon purchasing, the product is going to be transported to storage terminals and shipped afterwards to the retail network. The tool offers a map-table output whose construction and features give it important characteristics: interactivity, speed of response, and a colorful simulator-like look. Considering the ongoing changes in Brazilian downstream fuel market, this was the scenario chosen to present an example of the creation and use of such a tool to demonstrate its use and potential application. The resulting tool showed high potential of application to real-life situations as well as adequate characteristics for education purposes.

ICIEOM2020_ABST_0003_37287

A VARIABLE CHARTING STATISTIC FOR MONITORING THE COVARIANCE MATRIX OF BIVARIATE PROCESSES

ÁREA: ICIEOM2020 / 03. Quality Management
AUTORES: MARCELA APARECIDA GUERREIRO MACHADO

10.14488/ijcieom2020_abst_0003_37287

control chart, variable, attribute.

This article proposes a control chart to monitor the covariance matrix of bivariate processes using a mixture of attribute and variable charts, namely MIX-VAR chart. The items are first classified as approved or disapproved, using devices such as a go-no-go gauge. If the number of disapproved items is equal or greater than a control limit, the units of the next sample are measured and their sample variances are calculated. The proposed chart performs better than its competitor attribute chart, but not better than its competitor variable chart. However, it is more economically advantageous than the variable inspection.

ICIEOM2020_FULL_0010_37171

AIRBORNE WIND ENERGY SYSTEMS- CURRENT STATE AND CHALLENGES TO REACH THE MARKET

ÁREA: ICIEOM2020 / 10. Sustainability
AUTORES: ANNY KEY DE SOUZA MENDONÇA;THAIS GUERRA BRAGA;ANTONIO CEZAR BORNIA

10.14488/ijcieom2020_full_0010_37171

airborne wind energy; pumping kite; wired airfoils

In this article, the progress of Airborne Wind Energy (AWEs) systems, technology trends and barriers were studied. The concept of AWE technology, the different configurations of the system, the prototypes developed in the world was discussed, giving focus to the research developed in Brazil. The scientific and industrial community in the last decade has been working to allow AWE technology to reach the market in the coming years. AWE systems use wired aerial devices, which are lighter, less bulky and cheaper and allow access to wind energy available at higher altitudes (600m), inaccessible to current tower-based technology. AWE technology is in the research and development (R&D) and testing phase, but it still needs to mature and, therefore, there are many challenges to overcome to reach the market.

ICIEOM2020_FULL_0007_37476

AN ACTIVITY-BASED COST MODEL AS A DECISION-MAKING TOOL FOR CONTINUOUS IMPROVEMENT PROJECTS

ÁREA: ICIEOM2020 / 07. Knowledge and Information Management
AUTORES: PAULO SÉRGIO LIMA PEREIRA AFONSO;LUDMILA ZAMBONI DE SÁ VASCONCELLOS

10.14488/ijcieom2020_full_0007_37476

kaizen, time-driven activity-based costing, costing systems

Activity-based cost models, although they originally appeared as a solution to allocate indirect production costs to products, have today a much broader application and the potential to provide more complete and accurate information for decision making. In this regard, extended ABC models have been suggested in recent years as a way to assist specific decision making and improve the overall efficiency of production costs, intertwining concepts of technical and managerial optimization with cost optimization. This paper uses the theoretical roots of Time-Driven Activity-Based Costing and contributions from previous mathematical cost models, to assist Kaizen and continuous improvement projects. In order to demonstrate the applicability of the proposed model, an example is explored to demonstrate how the proposed cost model can be used for optimization purposes. The case study is related to changing chemical reactors in a production line. The proposed cost model can be developed suggested as a weighting between continuous improvements and general process / production optimizations in order to refine its performance in ensuring to the changes in production activities the minimum of technical externalities and accurate forecast of production costs in decision-making processes.

ICIEOM2020_FULL_0002_37231

AN ANALYSIS OF PERISHABLE FOOD CHAIN IN THE BRAZILIAN NANOSTORES

ÁREA: ICIEOM2020 / 02. Logistics and Supply Chain Management
AUTORES: BIBIANA PORTO DA SILVA;TAÍS OLIVEIRA DA SILVA ALFONSO;RICARDO AUGUSTO CASSEL

10.14488/ijcieom2020_full_0002_37231

retail logistics, nanostores, supply chain management.

In developing markets, income distribution and purchasing patterns are different from developed markets. One feature of developing markets is the presence of small family markets called ?nanostores?. This article analyzes the management of the unprocessed perishable food supply chain from the standpoint of nanostore owners. To achieve the proposed objective, first a literature review about supply chain management and nanostores was performed. Then, using a qualitative approach, a script of interviews was elaborated. Semi-structured interviews were conducted with the owners of four nanostores. After that, the interviews were analyzed by the content analysis methodology. The results of this study point out the importance of developing researches about nanostores in countries such as Brazil, as it is considered a market to be explored, characterized by precarious supply chain management. These results were evidenced by both the literature review and the practices reported in the interviews, although studies are still needed to better characterize the country's scenario.

ICIEOM2020_FULL_0003_37431

ANALYSIS AND FORECAST OF BRAZILIAN?S ISO 9001 CERTIFICATIONS AND ITS RELATIONSHIP WITH ECONOMIC AND SOCIAL INDICATORS

ÁREA: ICIEOM2020 / 03. Quality Management
AUTORES: YASMIN SILVA MARTINS;CARLOS EDUARDO SANCHES DA SILVA;PEDRO PAULO BALESTRASSI;JULIANA HELENA DAROZ GAUDENCIO

10.14488/ijcieom2020_full_0003_37431

quality management system, regression analysis, gross domestic product, human development index

With the growing demand for ISO certifications, the number of studies analyzing the evolution of such certifications over time in the most diverse contexts and countries has also increased. There are several forecasting methods, used as a way to verify the behavior of certain variables in the future, given their history. In this context, this study aims to analyze the number of ISO 9001 certifications from Brazil and their relationship with the variation of the indicators Gross Domestic Product (GDP) and Human Development Index (HDI). The method used was the regression analysis, through which a model was identified and adjusted to 75% of the series data, and its validation through the forecast of the remaining 25%. The model presented adequacy to the data for both variables, characterizing a multiple regression, which quadratic model Y = -268.3 + 0.000006X1 + 782X2 ? 553.1X2*X2 has an adjusted R2 of 94.07%. The model validation analyzed from the forecast indicates that it is good for predicting, even with the existing variation between 2017 and 2019. From the forecasting model and the response optimization analysis, it can be concluded that the number of ISO 9001 certifications in Brazil should be at least 25% higher, given its economic, social and demographic conditions, especially if compared to other Latin American countries.

ICIEOM2020_FULL_0002_37404

ANALYSIS BY PERFORMANCE INDICATORS AND OPERATIONAL PERCEPTION IN THE BRAZILIAN PORT SECTOR DURING THE COVID-19 PANDEMIC

ÁREA: ICIEOM2020 / 02. Logistics and Supply Chain Management
AUTORES: TATIANE BILCATI;LUIS GUSTAVO BARON;JÉSSIKA ALVARES COPPI ARRUDA GAYER;ROBSON SELEME

10.14488/ijcieom2020_full_0002_37404

performance indicators; brazilian port sector; sanitary measures against covid; survey in brazilian ports.

The negative effects of the COVID-19 pandemic demanded a series of global actions to contain losses. The dependence of world economies on the international market has established bonds between the various regional economies of the globe. These relationships allow the effects of economic crises to be shared quickly and intensely. The waterway system, through its volume of operation, suffers greater impacts, as it is the main link between economies. This article aims to analyze the impacts of COVID-19 on the Brazilian public port system, based on performance indicators and the empirical perception of those responsible for the strategic management of federal ports. From the literature review and through the application of a survey with employees from Brazilian federal ports, it was possible to see which actions were taken to contain the economic impacts of the pandemic. The data obtained by ANTAQ (National Waterway Transport Agency) show the performance of the port operation through the average time of stay and operation of Brazilian ports from January to June 2020, as well as a comparative analysis with previous years.

ICIEOM2020_FULL_0005_37420

ANALYSIS OF SUPERCAPACITOR BANKS APPLIED FOR SMART CITIES

ÁREA: ICIEOM2020 / 05. Product Development
AUTORES: ELVIS MARTINS NICOLAU;VINÍCIUS VERIDIANO MIRANDA;ÂNGELO ROCHA DE OLIVEIRA;LINDOLPHO OLIVEIRA DE ARAÚJO JUNIOR

10.14488/ijcieom2020_full_0005_37420

supercapacitor banks, energy storage system, energy supply.

Normally batteries are chosen for energy storage systems (ESS) because of their high energy density and low maintenance. However, batteries harm the environment, due to their disposal problem, since they are mostly made up of lithium ions. Thus, new clean alternatives energy storage systems are important. There are other devices for storing energy with some advantages and disadvantages as well. One of them is the supercapacitor. A set of supercapacitors is used to create a bank, and this bank may provide energy for a specific application. To explore this further option is crucial, because it might reduce the use of batteries in some situations, and as consequence, reduce the environmental damage. Even though supercapacitors do not have high energy density as batteries, perhaps in one situation with low consumption, a bank of supercapacitors are suitable. As to create devices for smart cities are necessary sensors and supply energy, maybe a bank of supercapacitors works well, due low consumption of some sensors. To confirm this hypothesis without further expenses, modeling tools are powerful to validated it. This simulation intends to obtain the curve of charging and discharging of two sorts of supercapacitor banks connected to photovoltaic (PV) source. In the final it was possible to comprove that one sort of bank fits well for this certain application for smart cities providing energy around 2,7 hours.

ICIEOM2020_FULL_0001_37232

ANALYSIS OF THE PRODUCTION PLANNING PROCESS USING THE CURRENT REALITY TREE

ÁREA: ICIEOM2020 / 01. Operations and Process Management
AUTORES: MARINA MORAES REITZ;RICARDO AUGUSTO CASSEL;TAÍS OLIVEIRA DA SILVA ALFONSO;BIBIANA PORTO DA SILVA

10.14488/ijcieom2020_full_0001_37232

production program process, theory of constraints thinking, current reality tree, production scheduling

The production program process and control is often not performed as proposed, so it is necessary to identify the gaps and to act consistently and effectively in the root cause of the problems. This paper seeks to implement the Current Reality Tree, one of the tools of the Theory of Constraints Thinking Process, to identify and relate the undesirable effects faced by the studied company and that lead to lack of adherence of the production scheduling, such as stock count errors, lack of visibility of packaging, programming includes parts which tools are under maintenance, among others. The instruments of data collection used in this research were interviews and participant observations. The results show that there are three main undesirable effects that cause the others: inadequate use of indicators, lack of information sharing and lack of a stock control information system, and solutions are proposed to mitigate the existence of these problems.

ICIEOM2020_FULL_0012_37432

ANTECEDENTS OF CUSTOMER SATISFACTION ? A STUDY IN HEALTH SERVICES

ÁREA: ICIEOM2020 / 12. Heathcare Operations Management
AUTORES: AGENOR SOUSA SANTOS NETO;JÚLIO CESAR VALANDRO SOARES;VINÍCIUS DE FARIA PAULA;NAIARA FAIAD SEBBA CALIFE

10.14488/ijcieom2020_full_0012_37432

health services, discriminant function analysis, customer satisfaction

Keeping customers satisfied is a big challenge for companies, both in the public and private sectors. The health sector have great importance in this regard, as customers seek an effective service to solve their personal problems. In this sense, a study was carried out to correlate customer satisfaction according to tangibility, reliability, responsivity, safety and empathy quality attributes. A number of 306 customers were interviewed from different Basic Health Units (BHU) in Aparecida de Goiânia city, Goiás state of Brazil, from January to March of 2019. The quantitative data was treated statistically using discriminant function analysis and the software Statistical Package for Social Sciences (SPSS®) to find correlations between customers? satisfaction and their perceptions referent to quality attributes. Of the 21 independent variables considered in the initial model, five of them were admitted by the stepwise estimation as significant for explaining the health service quality perception model from different Basic Health Units (BHU) in Aparecida de Goiânia city, Goiás state of Brazil. The application of the discriminant function analysis allowed the correct classification of 45.9% of the development sample cases, then it is necessary to perform tests to verify if the generated model can generate good responses as to the perception of the perception of the clients from BHU.

ICIEOM2020_ABST_0003_37304

APPLICATION OF THE DMAIC METHOD IN A PIPE STEEL COMPANY: A CASE STUDY

ÁREA: ICIEOM2020 / 03. Quality Management
AUTORES: ANA PAULA REZANTE DE OLIVEIRA;CATARINA BARBOSA CARETTA

10.14488/ijcieom2020_abst_0003_37304

six sigma, quality, returns.

This work described the application of the Six Sigma quality management tool in a medium pipe steel company with problems of high product return rates. Thus, the DMAIC method was used to identify the problem, as well as to propose an action plan, created from its phases. This project brought, then, the view of managers in the application of this tool, which, generally, is used in large organizations, such as multinationals. As a result of the study, a reduction in the return rate was observed, permeating lower costs and better customer service.

ICIEOM2020_ABST_0003_37242

APPLICATION OF THE FMECA METHOD TO DEFINE PREVENTIVE MAINTENANCE STRATEGIES IN A VACUUM SYSTEM OF A PET EXTRUDER.

ÁREA: ICIEOM2020 / 03. Quality Management
AUTORES: GUILHERME JOSÉ ANTUNES;DOUGLAS FERREIRA VIDAL;JAISON DA SILVA

10.14488/ijcieom2020_abst_0003_37242

preventive maintenance, fmeca method, critical failures and effects.

This work aims to demonstrate the application of the FMECA method in the identification and characterization of failure modes and their effects on an extruder machine used in the manufacture of wires. The equipment's vacuum system was evaluated, and different failure modes were characterized in the piping components, air pump and valve. For each failure mode, its priority risk number (PRN) was determined through the combined analysis of the factors occurrence, severity and failure detection. From the analysis of the PRN, the maintenance strategy of the equipment was developed where actions were proposed to increase the failure detection capacity, reduction of frequency and severity of failures, and consequent reduction of PRN values. The improvements proposals elaborate are of low cost and high feasibility of implementation in a short time, because is not necessary make major changes in the manufacturing processes structure. The FMECA tool showed be great utility to the processes improvement.

ICIEOM2020_FULL_0012_37496

APPLICATION OF THE OPERATING ROOM EFFECTIVENESS INDICATOR (ORE) IN A BRAZILIAN HOSPITAL

ÁREA: ICIEOM2020 / 12. Heathcare Operations Management
AUTORES: THIAGO ANTONIO SOUZA;GEANDRA ALVES QUEIROZ;RUI M. LIMA;LETÍCIA VAZ PIMENTA

10.14488/ijcieom2020_full_0012_37496

lean healthcare, operating room, indicator, hospitals, operations management.

Operating rooms are important operations for any hospital, being great cost and revenue generators. In this sense, the focus on efficiency is necessary and, in this context, the ORE indicator is raised as an opportunity for studies of efficiency in surgical effluxes. This study applied the ORE indicator in a large Brazilian hospital for one year according to data from the hospital's information system and thus obtained a result of 60.4% average efficiency. In addition to the indicator calculation, improvements were implemented with a focus on scheduling, setup, cancellations, physical organization and material management. According to the comparative with other applications, it is inferred that the efficiency of operating rooms in Brazilian hospitals is between 50% and 60%, with great opportunities to leverage surgical productivity.

ICIEOM2020_ABST_0001_37375

APPLYING LEAN PRINCIPLES IN RAILWAY OPERATIONS

ÁREA: ICIEOM2020 / 01. Operations and Process Management
AUTORES: JOAO GABRIEL VIANA PESSOA NUNES;ARIADNE MAIA SILVA;ALEXANDRE ARGOLO BRITO;LUCIANO CARDOSO;PEDRO HENRIQUE SANTOS SAVOI SENA

10.14488/ijcieom2020_abst_0001_37375

operational control center ? trains circulation ? tps ? pulled circulation system

Lean principles, exemplified by Toyota Production System (TPS), which started in 1980?s, continue to interest the operations community. Although, TPS was created and widespread in manufacturing industries since 80?s, it was rare companies non-manufacturing apply lean principles. However, nowadays, others economics sectors, such as services, introduced these concepts in their culture and operations management routines, most of them using TPS as example. Railway companies are older, and commonly apply older management models. As an example, in the state of Minas Gerais (Brazil), there is a logistic integrated company called VLI, a transportation company which includes terminals, railways and ports, and have operations all over Brazil, divided in four (4) logistics corridors. The principal incoming corridor is the Central-East corridor which has grains (soy beans and corn) as principal product transported. The production system at this logistic corridor was based on pushed system. In other words, in order to ensure the customer, demand all the process were executed based on the cycle time of each process working separated, always trying to make it faster. Although, the loading process works well in this model, the railway circulation did not have a stable performance, occurring overproduction, because the bottleneck process was not being considered during the planning, so it was used more assets than the necessary. The change in planning system was required when trains started to stop fully load during more than seven (7) days waiting it?s time to unload (a week, normally, is the time between two load process). In other words, trains were staying stopped during the same time that they should be in loading twice. This scenario was the motivation to modify the routine management defining the ideal amount of trains between the terminal (loading process) and the port (unloading process) based on the customer demand (normal and not normal reference). With the ideal number of trains in the railroad, it was defined the train headway (time interval between two trains), in the future it was realized that headway is the application of takt time in railway operation. Finally, with new operational indicators, number of trains in circulation and the trains headway, it was created a Floor Management Development System (FMDS) routine where the problems were stated and solved using Gemba routine, another TPS tool. With these new management routine and performance indicators focused on productivity, the train circulation achieved the stability after few months. The results with the new process, which we called pulled circulation system, were 14% reduction in transit time (34% reduction in standard deviation), energy efficiency was improved in 4,3%, 37% reduction in drivers? extra hours, permanent way maintenance availability was improved in 8,5% and locomotives reliability was improved in 40%. Additionally, the pulled circulation system made the integration with operational areas and Operational Control Center (OCC) possible, providing sustainability to the new operational process. Despite lean principles is not usually applied in service companies, this paper shows that using them and adjusting to the company reality it is possible to achieve great results.

ICIEOM2020_FULL_0007_37468

BENCHLEARNING: STATE OF THE ART ANALYSIS AND APPLICATION PROCEDURE

ÁREA: ICIEOM2020 / 07. Knowledge and Information Management
AUTORES: JESSYCA FABIOLA RIBEIRO ATALIBA;MARIO ORESTES AGUIRRE GONZÁLEZ;RAFAEL MONTEIRO DE VASCONCELOS;RICARDO ALEXSANDRO DE MEDEIROS VALENTIM;HELIO ROBERTO HEKIS

10.14488/ijcieom2020_full_0007_37468

benchlearning, benchmarking, organizational learning.

The term ?adoption of good practices? has become basic in organizations inserted in volatile markets, a conceptual need arises related to ?learning to adopt good practices, implement them and generate good practices for the sector?. The study aims to make an analysis of Benchlearning, investigating its origin and conceptual evolution, as well as analyzing utilization procedure in organizations. The research is a systematic literature review study that used Google Scholar and Scopus as a source. 94 articles were collected and, after the appropriate filtering of the research, 19 articles were analyzed. The research results indicate that Benchlearning has an etymological origin of Benchmarking, however, it has substantivity and procedurality arising from knowledge management. The study conceptual analysis supports the identification that the tool is evolving, with little scientific content produced, however, with great potential for strategic use in organizations. In view of the analyzes, it is concluded that Benchlearning has the ability to transform realities and that, in essence, due to its conceptual depth, excels benchmarking if the organization's objective is to seek innovation, improve processes and value people

ICIEOM2020_FULL_0006_37398

BIBLIOMETRIC STUDIES ON PROSPECTIVE SCENARIOS AND MULTICRITERIA DECISION AID

ÁREA: ICIEOM2020 / 06. Strategy and Organizational Engineering
AUTORES: ADRIANA MANZOLILLO SANSEVERINO;CARLOS FRANCISCO SIMÕES GOMES;MARA REGINA DOS SANTOS BARCELOS;IGOR PINHEIRO DE ARAÚJO COSTA;MARCOS DOS SANTOS

10.14488/ijcieom2020_full_0006_37398

prospective scenarios, multicriteria methods, strategic planning, decision making.

Scenario building and multicriteria methods contribute to strategic planning and support decision-makers. There are several approaches and many applications in different areas. This paper presents the results of a bibliographic research on prospective scenarios and multicriteria decision aid, providing a descriptive overview of scientific production of both themes. A bibliometric study was performed on the Scopus library database in February 2020, in order to identify the distribution of papers by year of publication, journals, keyword clusters, authors and authors? H-index, affiliation, country / territory, fields of knowledge and language. The VOSviewer software was used to provide visualizations of the network and the density of keywords and authors. The search found 197 papers on prospective scenarios and 265 papers on multicriteria decision aid. Publications on prospective scenarios began in 1982 and publications on multicriteria decision aid began in 1986. Eight areas concentrate at least 80% of the research. No journal and no author are major references.

ICIEOM2020_ABST_0001_37424

BPM PROCESS IMPLEMENTATION IN A SMB SERVICE PROVIDER: MANAGING TRANSITIONS RISKS IN BPM LIFE CYCLE WITH MARKOV TRAJECTORIES MODEL AND GAMIFICATION TECHNIQUES

ÁREA: ICIEOM2020 / 01. Operations and Process Management
AUTORES: LARISSA ANE HORA DE SOUZA;VICTOR DIOGHO HEUER DE CARVALHO;JONHATAN MAGNO NORTE DA SILVA;ROBÉRIO JOSÉ ROGÉRIO DOS SANTOS

10.14488/ijcieom2020_abst_0001_37424

business process management, operational research, scenario evolution.

One of the main challenges in business process management practices is related to the transition between the ?AS-IS? and ?TO-BE? stages of the BPM (Business Process Management) life cycle. It is necessary to ensure that the insertion of this management model during those stages, also guarantees the stability of the business, mitigating the possibility of financial or operational instabilities meanwhile. This is one of the central concerns in any change or management process for the adoption of new practices. In this paper we present a methodological approach combining techniques from operational research and information and decision theory, aligned with a gamification strategy that, when applied to the management of changes between the ?AS-IS? and ?TO-BE? stages of the cycle of life BPM, avoid possible instabilities in corporate results. In order to verify our methodology, we applied the techniques in a small and midsize business (SMB) in the education sector, measuring corporate performance in the transition period and comparing statistically with the evolution to the optimal scenario provided by the applied methodology. Such a combination of techniques opens a new perspective for the application of business process management to corporate environments, because in addition to allowing a smooth transition during the learning phase and the process implementation phase - it still provides us with means to predict the evolution of scenarios during this transition.

ICIEOM2020_FULL_0006_37465

BUSINESS PROCESS REENGINEERING : A SCOPING REVIEW

ÁREA: ICIEOM2020 / 06. Strategy and Organizational Engineering
AUTORES: AMANDA CHIOTE CABRAL

10.14488/ijcieom2020_full_0006_37465

business process reengineering, bpr, scoping review

Business Process Reengineering (BPR) is a management practice that has been widely studied and used over the past 30 years, when its concept and utility were strongly disseminated and used in large corporations around the world, as a model of radical transformation of processes generating an increase in competitiveness. This research is intended to conduct a BPR scope review, developing a mapping of how the practice has been employed over the years, providing an indication of the volume of literature and studies available, as well as an overview of the areas in which BPR operates and how it has been used, through a bibliometric and longitudinal analysis of its publications and also contains suggestions for future research in the area.

ICIEOM2020_FULL_0001_37229

CALCULATION OF THERMODYNAMIC AND TRANSPORT PROPERTIES FOR SYSTEMS CONTAINING LIQUID UREA

ÁREA: ICIEOM2020 / 01. Operations and Process Management
AUTORES: ANA PAULA ALVES AMORIM;LICIANNE PIMENTEL SANTA ROSA

10.14488/ijcieom2020_full_0001_37229

urea liquid properties, correlations, models

The worldwide demographic increase over the centuries has provided the development of new technologies for food production, among them including nitrogenous compounds adopted, such as urea. In industrial urea synthesis plants, it is essential that for the behavior of systems and equipment describe adopt models that calculate transport and thermodynamic properties. However, this task is not trivial since there is no agreement in the literature on the best models to describe this system. Therefore, this work aims to get the correlations for the calculation of the thermodynamic and transport properties for systems containing urea in liquid phase. To reach this goal, a survey of the models used in the literature was carried out. When the availability of these models was not observed, a regression of experimental data was carried out with the consequent formulation of empirical correlations for the system. In addition, the proposed models were validated with experimental and process data granted by FAFEN-BA. All correlations proposed in the work represented the system satisfactorily. The calculated data showed an average deviation of less than 4% to the real data. These findings might be useful for equipment design, flowsheet simulations and large-scale simultaneous optimization problems.

ICIEOM2020_ABST_0002_37326

CARGO THEFT: IMPACT ON THE ACTIVITIES AND COSTS OF A FOOD COMPANY LOCATED IN THE CITY OF RIO DE JANEIRO / BRAZIL

ÁREA: ICIEOM2020 / 02. Logistics and Supply Chain Management
AUTORES: CAMILA AVOSANI ZAGO;PRISCILLA JULIASSE DE FREITAS

cost, cargo theft, metropolitan region of rio de janeiro - brazil

The present work focuses on the treatment given by a company in the food sector with regard to the incidence of cargo theft in the metropolitan region of Rio de Janeiro, in relation to costs incurred, prevention and resolution of what happened. This in view of the significant increase in cargo theft from the years 2016 and 2017, which alarmed society and caused companies to review their security measures for cargo and for their employees. For this, a case study was carried out through a semi-structured interview with a food company located in the metropolitan region of Rio de Janeiro / Brazil. Thus, it was possible to verify that the company in question is not so affected by cargo theft, since its products are not so targeted for parallel marketing. Despite this, the company has an increase in its transport costs due to possible thefts that may occur.

ICIEOM2020_ABST_0010_37339

CIRCULAR ECONOMY: A BIBLIOMETRIC STUDY

ÁREA: ICIEOM2020 / 10. Sustainability
AUTORES: CAMILA AVOSANI ZAGO;KATHERINE RESTREPO QUINTERO;LUIZ HENRIQUE AVOSANI ZAGO;ANA D’ARC MAIA PINTO

circular economy, sustainable, bibliometric study

Circular Economy (E-Cycle) is increasingly becoming a space that is breaking a longstanding paradigm, as several studies have contributed to the negative impacts caused by the economic and industrial model based on ?take-make-dispose?, to decide the exploitation of natural resources for the purpose of converting them into final products by regenerating waste disposed of improperly. Many studies have been done in these last years, but there is still a long way to go to fully implement the circular economy. This bibliometric studio was based on the Scopus database, where new articles were added with the following keywords: Circular Economy and E-Cycle, using Boolean operators (OR). This methodology aims to investigate the main authors, universities and countries involved in the theme. If it appears that the number of articles has grown mainly since 2017, I bring it to bear in particular in China, United States, Italy, Netherlands, Switzerland, Germany, Finland and France.

ICIEOM2020_FULL_0007_37400

COMPARATIVE STUDY OF MULTI NEURONS & MULTI LAYERS ARTIFICIAL NEURAL NETWORK IN KNOWLEDGE MANAGEMENT

ÁREA: ICIEOM2020 / 07. Knowledge and Information Management
AUTORES: SHAILENDRA SINGH;SHANTANU BHATTACHARYA;VENKATARAMANAIAH SADDIKUTI

10.14488/ijcieom2020_full_0007_37400

knowledge transfer, artificial neural network, neurons, ann layers

Knowledge transfer impacts the firm?s performance and its ability to respond to changing landscape. Various knowledge management models capture the process of knowledge transfer. ANN can help simulate and predict the knowledge transfer outcome. However, ANN has various algorithms. This study discusses and develops a model based on the Artificial Neural Network (ANN) framework to transfer knowledge. Virtual reality based simulated animation study is explored as preferred knowledge transfer methodology. ANN offers multiple algorithms to train the model. Levenberg Marquardt (LM) is found to be one of most effective ANN algorithms with accurate and faster output. We further explore LM ANN algorithm and compare the same for efficacy and ability to train the Knowledge model with different combinations of Layers and Neurons. Further the study explores application of LM algorithm with layer-Neurons combinations for most optimum methodology for transfer of knowledge applications. Thus, the most optimum methodology to transfer knowledge is explored using ANN.

ICIEOM2020_FULL_0002_37453

CONDITIONING FACTORS OF INTERORGANIZATIONAL COST MANAGEMENT IN MANUFACTURING COMPANIES

ÁREA: ICIEOM2020 / 02. Logistics and Supply Chain Management
AUTORES: ANTONIO ZANIN;SILVETE MOTERLE;FRANCIELI PACASSA;DYENIFFER PACKER EIGENSTUHLER;PAULO SÉRGIO LIMA PEREIRA AFONSO

10.14488/ijcieom2020_full_0002_37453

interorganizational cost management, conditioning factors, survey, factor analysis, cluster analysis, public companies.

The aim of this study was to analyze the impact of conditioning factors in the adoption and use of interorganizational cost management practices in manufacturing companies. The data was collected through a questionnaire applied to the controllers of the manufacturing companies listed in B3. The sample consisted of 33 companies. Factor analysis, cluster analysis and mean difference test were used in order to meet the objective proposed by the study. The findings contribute to improving the understanding of how conditioning factors (Products, Components, Relationship Levels, Chain Types and Mechanisms) influence interorganizational cost management practices. According to the results, it can be inferred that throughout the organization's trajectory, it is necessary to establish partnerships with suppliers. It was observed that there is a lack of formality in the relationships exercised by organizations, which can be a possible inhibitor of cost management practices. Some companies see the need to partner with their suppliers, so that this would allow to reduce costs, increase financial results and credibility in the business environment, so that in periods of financial instability, one can assist the other in negotiations, without opportunism and loss of confidence. The sharing of information between companies in the supply chain provides greater trust and more stable relationships, in which the relationship levels will contribute to the application of the IOCM, favoring everyone involved in the supply chain

ICIEOM2020_FULL_0010_37227

CORRELATION AND REPRESENTATIVENESS BETWEEN ECO-INNOVATION DIMENSIONS AND SUSTAINABILITY IN ELECTRIC POWER COMPANIES

ÁREA: ICIEOM2020 / 10. Sustainability
AUTORES: ANDREIA S GOFFI;FLAVIO TROJAN;SHIRLEY THESARI;MAURO LIZOT;ALCIONE DE ABREU

10.14488/ijcieom2020_full_0010_37227

eco-innovation, sustainable development, innovation.

The Eco-Innovation has been considered an important factor in developing of sustainable products and services around the world. The innovation when integrated to the sustainable actions certainly improves the companies? efficiency and representativeness into their markets. This joining has been perceived in Electric Power Companies, in which the environment and sustainable objectives are the main targets to be achieved in these companies. This work proposes a methodology that uses the Transversal Cut Data Lifting (TCSL) technique, which involves self-administered questionnaires applied to managers to identify the possibilities of correlation and representativeness between eco-innovation dimensions and sustainability. An application of this proposed methodology was performed with collected data from an electric power company in Brazil and the results pointed out that there was a significant positive relationship between top management support, technological competence and environmental formalization, with the definition of proactive eco-innovation strategies. With these results, it can be considered that this study contributed to the advancement of knowledge in this area, with the definition of the interfering variables. The practical implications are recognized by an empirically applied study, which provides information on eco-innovation management. It recognizes the managing effects, allowing for more in-depth analyses, which could be considered as a relevant gap in the literature.

ICIEOM2020_ABST_0010_37388

CRITICAL RISK FACTORS IN AN EFFLUENT DRAINAGE NETWORK PROJECT. A CASE STUDY

ÁREA: ICIEOM2020 / 10. Sustainability
AUTORES: YURI GABRIEL GONÇALVES DORINO;JOSE CRISTIANO PEREIRA;NELIO DOMINGUES PIZZOLATO

treated effluents; reuse; water resources management

High population growth and water quality are directly related to some critical factors in treatment plants, and are often not perceived or ignored for prevalent economic reasons. The present study aims to present the risk factors that can influence the decision-making process in an effluent drainage network project. The available literature on risk analysis for this type of process is limited. Through questionnaires responses by specialists in the area in social networks. As a result, the most critical factor is a) possibility of reusing treated effluents, odour generation, interaction with the neighbourhood and regional environmental legislation b) know the local legislation as the first condition for an effluent treatment project, it is important to note that differences in legislation often make it impossible to implement a treatment project that is successful in one state to another. c) study of interaction with the neighbourhood must take into account so that there are no problems with the existing Environmental Legislation in order to minimize the problems with people living near the effluent treatment plants. The conclusion is that the proposed method is an invaluable source for environment professionals and decision makers, in the sense that it augments their information on drainage network projects and help to identify critical risks factors and allow the implementation of actions to avoid project failure.

ICIEOM2020_ABST_0001_37244

CRITICAL SUCCESS FACTORS OF EMPLOYEES SUGGESTION PROGRAM ? DIFFERENCES OF MANAGERS AND OPERATORS? PERSPECTIVES IN A BRAZILIAN FOOD FACTORY

ÁREA: ICIEOM2020 / 01. Operations and Process Management
AUTORES: CAMILA CORRÊA DE MELO

10.14488/ijcieom2020_abst_0001_37244

kaizen, continuous improvement, lean.

In a competitive environment it is required a production system increasingly more efficient. Improvement programs are an alternative to create an organization orientated to reduce wastes and to increase efficiency, productivity and availability of workers and process. This paper is a case study that evaluates the improvement (kaizen) program of a food factory located in the Metropolitan Region of Recife. It analyzes four factors that might affect its successful initiatives to enhance a production process. We consider four criteria ? leadership?s commitment, operational commitment, communication, and education and training. The study investigates different perspectives of two groups ? production operator and manager in other to validate differences from them. It was applied two distinct questionnaires ? one to each group. Finally, our investigation revealed that groups rank factors that influence an improvement differently, except for leadership commitment, which was order as last important by both groups. In addition, education and training is evaluated as the most critical factor to operators, and communication was the higher criterion to leaders. This work helps to head action based to point of view of different groups to enhance an improvement program and to assurance sustainable results to an organization.

ICIEOM2020_FULL_0011_37364

CURRENT TRENDS IN PRODUCTION ENGINEERING EDUCATION: ACTIVE LEARNING STRATEGIES

ÁREA: ICIEOM2020 / 11. Production Engineering Education
AUTORES: GEORGIA DE SOUZA ASSUMPÇÃO;CAROLINA MAIA DOS SANTOS;ALEXANDRE DE CARVALHO CASTRO;MAYARA VIEIRA HENRIQUES;ISABEL CRISTINA DOS SANTOS

10.14488/ijcieom2020_full_0011_37364

engineering education; production engineering, active learning

This paper aimed to point out trends observed in engineering education, especially production engineering, at two main Brazilian academic events held annually: Enegep (National Meeting of Production Engineering, organized by the Brazilian Association of Production Engineering), and Cobenge (Brazilian Congress of Education in Engineering, conducted by the Brazilian Association of Engineering Education). Therefore, a survey of papers published in these conference procedings and important spaces for discussion, from the years 2007 to 2018, it was possible to identify some trends should be highlighted. In fact, there is an increase in research focused on active learning in engineering education, whether addressing specific methodologies or addressing the topic more broadly. In this context, results showed the most used methodologies are Problem Based Learning (PBL) and Project Based Learning (PjBL).

ICIEOM2020_FULL_0001_37234

DATA FUSION PERSPECTIVES FOR DIGITAL TWIN IMPLEMENTATION

ÁREA: ICIEOM2020 / 01. Operations and Process Management
AUTORES: RICARDO EIJI KONDO;ERICK DOUGLAS DE LIMA;MATHEUS BELTRAME CANCIGLIERI;EDUARDO DE FREITAS ROCHA LOURES;EDUARDO ALVES PORTELA SANTOS

10.14488/ijcieom2020_full_0001_37234

digital twin, data fusion, data aggregation, data combination

The Digital Twin (DT) is a key concept for the implementation of Cyber-Physical Systems (CPS) in manufacturing, which is one of the main elements of Industry 4.0. It represents a virtual counterpart of a physical entity and can be used to simulate distinct scenarios based on models, input data and sensor information. In the virtual space, data analysis allows to make predictions and optimizations in the model, which could lead to the performance improvement of a product or process in the physical twin. Data is the core element that interconnects the physical and virtual worlds. In a manufacturing process, several data are generated through sensors and machines. A relevant aspect is related to the ability of the system to deal with a large amount of multi-source heterogeneous data (e.g. virtual space, physical environment, historical databases) and its variety issues (e.g., inconsistent data, sensor failures, data compatibility). Therefore, efficient methods should be employed to increase data reliability. In this sense, data fusion is a technique that combines multiple sources in order to improve data quality, extract relevant information and aid decision making. So, the aim of this research is to conduct a quantitative analysis to investigate the employment of data fusion and its correlated terms applied in the context of DT, assisting the research community in future studies and providing support for the use of data fusion strategies.

ICIEOM2020_ABST_0002_37160

DECISION MAKING ON THE CHOICE OF COMPANIES TO BE SETTLED IN CITIES USING MULTI-CRITERIA METHOD (AHP) AS PUBLIC MANAGEMENT SUPPORT. A CASE STUDY.

ÁREA: ICIEOM2020 / 02. Logistics and Supply Chain Management
AUTORES: JOSE CRISTIANO PEREIRA;RICARDO MODUGNO;JESSICA FREIRE

10.14488/ijcieom2020_abst_0002_37160

urban planning & ahp; smart cities opportunity for entrepreneurship; smart city & ahp; smart cities & urban planning

This study aims to present a method to help decision makers in the choice of installation of companies in cities, using the multicriteria Analytic Hierarchy Process (AHP) method. As a methodological approach, a review of literature and a field research was conducted to develop a model to be employed in a case study The result of the applied model demonstrates the importance of attracting metal mechanic industries and consumer goods to the studied city. The method presented in this study is a valuable tool that public managers can use to make a good decision making to minimize the risk of biased influences in the decision-making process and thereby maximizing the progress of cities in a sustainable way.

ICIEOM2020_FULL_0001_37259

DECISION-MAKING SUPPORT FOR SELECTION OF SCENARIOS USING AHP AND SIMULATION: A CASE STUDY IN AN AUTOMOTIVE INDUSTRY

ÁREA: ICIEOM2020 / 01. Operations and Process Management
AUTORES: LICIA CRISTINA DE PAULA SANTOS;EDUARDO DE FREITAS ROCHA LOURES;EDUARDO ALVES PORTELA SANTOS

10.14488/ijcieom2020_full_0001_37259

decision making, computer simulation, analytic hierarchy process.

Decision making is present daily in organizations between different areas and functions. These decisions often involve tangible and intangible data that must be evaluated jointly for a correct analysis of the problem. In complex environments, is increasing the use of tools that help managers in the decision-making process. The present study aims to assess the integration of two tools, computer simula-tion and Analytic Hierarchy Process observing how the two methods when worked together can aid the decision making process. In this way, the study pre-sents a case study in an automotive industry, where it is used an integrated analyt-ic hierarchy process and computer simulation for prioritizing of futures scenarios. As a result, AHP is able to assist in choosing scenarios before or after simula-tion. Computer Simulation provides solid data that serve as more consistent input data to apply the AHP methodology. Thus, the research highlights the benefit of the integrating the two tools as support for decision-making

ICIEOM2020_FULL_0001_37283

DEMAND-SUPPLY BALANCING: A COMPARATIVE STUDY BETWEEN COMPANIES? OPERATION STRATEGIES

ÁREA: ICIEOM2020 / 01. Operations and Process Management
AUTORES: FREDJOGER BABOSA MENDES;IARA TAMMELA;RODOLFO CARDOSO;LORENA ALBINO SOARES DA SILVA

10.14488/ijcieom2020_full_0001_37283

operations management, demand-supply balancing, comparative study.

Demand-Supply Balancing (DSB) strategies have been adopted by organizations in order to adjust their capacity to demand fluctuations. In service sector, in addition to demand behavior forecasting, it is essential that the organization be able to respond to the market?s needs and expectations on time. The aim of this research is to compare the results of two previous studies, one carried out in Finland in manufacturing companies and other in Brazil in a service company, with the objective of identifying demand-supply balancing strategies in the context of operations management. This is an exploratory and applied research, with a quantitative and qualitative approach, through the application of the questionnaire designed by [10] in the same company object of study from [9]. The results showed an alignment between the strategies divided in six categories. The strategy that presented the least alignment in demand-supply balancing category was the supply chain structure. On the other hand, capacity management showed the greatest convergence.

ICIEOM2020_FULL_0002_37387

DESIGN OF A SERIOUS GAME SIMULATION FOR LEARNING SUPPLY CHAIN MANAGEMENT

ÁREA: ICIEOM2020 / 02. Logistics and Supply Chain Management
AUTORES: FRANCISCO KEGENALDO ALVES DE SOUSA;PEDRO MATEUS AGUIAR BARBOSA

10.14488/ijcieom2020_full_0002_37387

serious game, simulation, supply chain, education

Demonstrating concepts in a practical way is considered as more powerful and effective than purely explaining the underlying theory. This paper presents a new business game named SIMOP which helps to understand concepts developed in logistics and supply chain management classes. The game provides insights into different aspects of supply chain, i.e., the bullwhip effect, production, transport, customer services, inventory, the decision-making process as their trade-offs. This allows for people who have no deep notion in this area to better understand its concepts and improve their knowledge in practice. The paper describes game rules, playing process and future directions.

ICIEOM2020_FULL_0009_37485

DETERMINANTS FACTS OF HAPPINESS IN A BRAZILIAN FOOD INDUSTRY

ÁREA: ICIEOM2020 / 09. Work and Human Factors
AUTORES: LUCAS ALVES DE SOUZA;GLADYS DOROTEA CACSIRE BARRIGA;VICENTE GARIBAY CANCHO

10.14488/ijcieom2020_full_0009_37485

happiness, factor, work, ordinal multinomial regression, food industry.

This article sought to study and identify the determining factors that influence happiness at work in a Brazilian organization in the food sector. We find in the current literature a research gap, due to the fact that recent studies analyze factors individually, presenting divergent results. To address this gap, we conducted a literature review, where we identified the main factors found and analyzed in a sample of workers in a meat industry, through a survey with an explanatory approach, using the Ordinal Multinomial Logistic Regression Model as a quantitative method.When analyzing together, we identified as factors the Managerial Style, Achievement/Expressiveness, Trauma Experience, Salary, Company Time and Personal Goals, all of which can affect the level of happiness at work, impacting on the performance of employees and organization results. In this way, it becomes relevant to study the dynamics involved in the occurrence of these factors in the studied scenario and in other segments in order to provide data that guide organizational management policies.

ICIEOM2020_FULL_0006_37464

DEVELOPMENT AND IMPLEMENTATION OF A MODEL TO SUPPORT THE VALIDATION OF NEW BUSINESS IDEAS

ÁREA: ICIEOM2020 / 06. Strategy and Organizational Engineering
AUTORES: LUÍS MIGUEL PIRES DURÃES;PAULO SÉRGIO LIMA PEREIRA AFONSO;JULIO ERNESTO COLLA;ANDRÉ FERREIRA

10.14488/ijcieom2020_full_0006_37464

design thinking, lean startup, business model, innovation, new product development.

Abstract. This paper focused on the development and implementation of a model to support the validation of business ideas supported by new technology-based products or services based on the Design Thinking, Lean Startup and Business Model Design approaches and on processes that take place in four stages of validation: value proposition, market, business model and financial-economic. The different approaches and all validations are considered important, and act in an interdependent and complementary manner. Academic literature is still scarce regarding the interconnection between these approaches, and in practice there are significant gaps in the operationalization of effective and efficient processes, that enable the transformation of ideas into new businesses. The model developed was analyzed using a case study focused on the MobiBUS project, developed at Bosch Car Multimedia that aims the improvement of the service quality provided by public transport companies. Thus, it was possible to apply different approaches throughout the four stages of validation, since the product under development was in the design phase. As a result, it is important to highlight the importance that the three approaches represent for the validation of business ideas and that their interconnection throughout the four stages promotes communication and guides the team from the ideation to the moment before the product is ready to be launched on the market. On the other hand, the use of validation moments, between stages, and the use of deliverables fostered better decision making.

ICIEOM2020_FULL_0006_37204

DIGITAL PRODUCT-SERVICE SYSTEMS: A DIGITAL CAPABILITIES APPROACH

ÁREA: ICIEOM2020 / 06. Strategy and Organizational Engineering
AUTORES: ÉRICO MARCON;ARTHUR MARCON;NéSTOR FABIáN AYALA;ALEJANDRO GERMáN FRANK

10.14488/ijcieom2020_full_0006_37204

digital servitization, product-service system, industrial services, capabilities.

The servitization of industrial offers in addition to the increased digitization in current industry enabled the development of Digital Product-Service Systems (DPSS). In this type of offer, manufacturing companies that seek to deliver digitized solutions must develop managerial and digital capabilities to provide value to customers. Thus, our study analyzes the necessary digital capabilities based on a systematic literature review conducted with 59 articles that report 70 DPSS cases. Based on a literature classification that divides the services offered into Base, Intermediate and Advanced, we identified that Base services demand is focused on maintenance solutions demanding Monitoring, Control and Remote Access and Services capabilities. Intermediate services demand more technology capabilities to deliver complex service contracts, such as data analytics, customer operation optimization and customization of the solution offered. Finally, Advanced services demand a broad set of technology capabilities as the provider must enable cost guarantees and even manage the operation entirely, relying more on the technology employed. Thus, our article provides guidelines for DPSS providers as we show the necessary capabilities, enabling a more accurate offer with increased value to customers.

ICIEOM2020_FULL_0001_37451

ENERGY AND INDUSTRY 4.0: AN APPLICATION OF PROKNOW-C METHOD

ÁREA: ICIEOM2020 / 01. Operations and Process Management
AUTORES: NATHALIA JUCA MONTEIRO;SERGIO E. GOUVEA DA COSTA;EDSON PINHEIRO DE LIMA;FERNANDO DESCHAMPS

10.14488/ijcieom2020_full_0001_37451

energy, industry 4.0, proknow-c.

Industry 4.0 brings new challenges to the organizations and integrates energy management and its technologies are one of them. Since the energy management is defined as activities to minimize the consumption of the energy, the possibility of real-time monitoring and more accurate data are some of the advantages of this integration. The present study aims to realize a literature review integrating the terms ?energy? and ?industry 4.0? to identify research gaps in the literature. The method used was ProKnow-C (Knowledge Development Process ? Constructivist). As a result, a bibliographic portfolio of 26 articles was obtained and a bibliometric analysis was executed to identify the year of publication, local of publication the most used terms. Some of the literature gaps were identified like the intensive use of the Internet of Things and a lack of conceptual models that conciliate both themes. As for future research, the search protocol should be replicated in other databases and other keywords may be added.

ICIEOM2020_FULL_0012_37308

FAILURE IDENTIFICATION OF MACHINE AND EQUIPMENT FUNCTIONAL SAFETY IN THE AUTOMOTIVE INDUSTRY

ÁREA: ICIEOM2020 / 12. Heathcare Operations Management
AUTORES: ALVARO DOS SANTOS JUSTUS;MARCIO LAZAI JUNIOR;EDUARDO DE FREITAS ROCHA LOURES;FERNANDO DESCHAMPS

10.14488/ijcieom2020_full_0012_37308

functional safety, work accidents, risk management

One of the most important concerns in the equipment?s installation in the industrial automotive environment is ensure the functional machinery safety. Along the production line, failures in highly robotic equipment might occur in many ways and from different sources. Theses failures might imply in unexpected expenses and in work accidents and can be repeated in the same or even in another production line if the failure is not specifically treated. In a Brazilian subsidiary of a French automotive company, through information from the company's accident dataset history, it is possible to verify failures that are related to both safety problems and failures of protection systems applied to the machines. With the support of a literature review, with the aim of bring up elements of relation between risk management and functional machinery safety and equipment, an analysis of the company's accident data is proposed, which seeks to understand the origin of accidents that occurred. The obtained results can be consumed to identify failures in the functional machinery safety and equipment, allowing to propose treatments and solutions to face the detected problems.

ICIEOM2020_FULL_0003_37211

GUIDELINES FOR OPTIMIZING THE WORK OF CEREMONY TEAMS USING THE QUALITY ENGINEERING

ÁREA: ICIEOM2020 / 03. Quality Management
AUTORES: MARIA BRUNA DE OLIVEIRA BEZERRA BRITO;FRANCISCA JEANNE SIDRIM DE FIGUEIREDO MENDONÇA;ISIS DA SILVA VIEIRA;JOÃO BATISTA MENDES BARBOSA;AMANDA DUARTE FEITOSA

10.14488/ijcieom2020_full_0003_37211

service quality, 5 gap?s, ceremonial

Currently, growth in the service sector is notable, and therefore competitiveness expands. For companies to be prepared, it is necessary to work with a focus on quality, and for that, it is important to seek the ideal quality with the customer's vision, and thus achieve consumer loyalty. This qualitative and descriptive case study deals with the analysis of the service provided by a company called Alpha. That offers advisory and ceremonial services for events in the city of Crato, Ceará, Brazil. The objective of this research is to map the process using the "service cycle" and the "5 GAP'S" method. As a result, the company finds GAP 1 as the main problem, which is the failure in management's perception of consumer expectations and GAP 3, which is the failure to provide services in relation to delivery. In the improvement proposals, the 5W2H tool is use to assist in the construction of an action plan for the optimization of the process.

ICIEOM2020_ABST_0006_37361

HOW SUCCESSFUL IS CHANGE?

ÁREA: ICIEOM2020 / 06. Strategy and Organizational Engineering
AUTORES: GEERT LETENS;KURT VERWEIRE;PETER DE PRINS

10.14488/ijcieom2020_abst_0006_37361

change management, change success criteria, change failure rates

In the present turbulent environment, management of change has repeatedly been reported as ?the? key to success for organizations of all types. However, despite the overwhelming number of frameworks and approaches to change management, there is hardly any empirical research that assesses the effect of change interventions. As a result, many hypotheses about successful management of change remain unchallenged. This leads to a wide range of sometimes contradictory and confusing theories. Part of the problem is how to evaluate change success. Numerous researchers have reported failure rates of around 70 per cent for various types of change initiatives. However, most of them refer to different types of measures to evaluate change success. As a result, the first purpose of this work is to describe the psychometric properties of a new questionnaire to assess change management success based on an evaluation of the change process and its impact on various characteristics of organizational performance. Insights are derived from data in more than 100 organizations that went through various types of change initiatives. The second part of this work uses this new measure of change success to investigate differences across industries and sectors, as well as type of change and type of organization. This leads to a better understand of the landscape of change success, allowing to orient future research on similarities and differences of change under various conditions.

ICIEOM2020_FULL_0013_37439

HOW THE INDUSTRY 4.0 CAN OVERCOME THE COVID-19 PANDEMIC - A SYSTEMATIC REVIEW

ÁREA: ICIEOM2020 / 13. Disaster Management
AUTORES: PEDRO HENRIQUE RIBEIRO BOTENE;BRUNO MAROUN ROEL;MILTON VIEIRA JUNIOR;ANDRÉ DE LIMA

10.14488/ijcieom2020_full_0013_37439

industry 4.0, covid-19, systematic review

Since the beginning of the industrial era, it has been necessary to innovate, both in technology and production models. The designation given to this transformation is Industrial Revolution which, besides changes in the industry and the economy, has also brought changes in people's lives. The last of them, the Fourth Industrial Revolution, or Industry 4.0, as it is better known, is still happening today. This means that this process is in progress and that, despite the expectations of success of its application, it is still susceptible to changes. In the current world context, a crisis has brought serious problems to all areas of life, with a significant impact on the industrial age. Within this scenario, this work aims to study and analyze how the 4.0 tools and methods can help in the struggle against the COVID-19 pandemic through a systematic review of the literature. The results showed that the nine technological pillars of Industry 4.0 have been used to combat the pandemic, mainly in the healthcare and public health areas. The improvements and difficulties were divided into categories in order to assist the identification of specific work for specific project goals for academics and professionals.

ICIEOM2020_ABST_0009_37493

HUMAN COGNITIVE AND MOTOR PROCESSING TIME IN THE AGING WORKFORCE: AN OBJECTIVE PARAMETERS-BASED MODEL

ÁREA: ICIEOM2020 / 09. Work and Human Factors
AUTORES: FRANCESCO FACCHINI;CAVALLO, DANIELA;MOSSA, GIORGIO;MUMMOLO, GIOVANNI

10.14488/ijcieom2020_abst_0009_37493

maximum oxygen consumption; heart rate; aging; cognitive-motor task; cognitive-motor processing time

In the digital society, recent studies showed that individuals have to perform tasks based on the information gathered by a huge amount of data and effectively use them to express their cognitive and motor abilities. The cognitive task is considered a job with prevalent cognitive demand; on the contrary, a motor task is a job with a prevalent physical need. The model allowed to evaluate the motor and cognitive information processing time based on two physiological parameters (i.e., maximum Oxygen Consumption and Heart Rate) by varying the operator's age and sex. The effectiveness of the model on a numerical case study is tested. The work conducted proved that it is possible to predict a general motor-cognitive task's processing time based on objective parameters allowing to take account of the difference between individuals of different ages and sex.

ICIEOM2020_FULL_0002_37430

IDENTIFYING THE FACTORS ENGAGED IN CUSTOMERSÂ? CHOICE TO OPERATE THROUGH DRY PORT OR SEAPORT

ÁREA: ICIEOM2020 / 02. Logistics and Supply Chain Management
AUTORES: THIAGO DE ALMEIDA RODRIGUES;CAROLINE MARIA DE MIRANDA MOTA;DANIEL FERNANDES PINTO;ADOLFO VICENTE ARAÚJO

10.14488/ijcieom2020_full_0002_37430

dry port, seaport, cost factor, service level.

The network of goods in the hinterland has changed since dry ports emerged as an option to fix efficiency problems in seaports. More than ever, shippers and consignees are looking to reduce the total logistic cost, besides to require a high service level in their operations. Despite the relevance of dry ports as a service provider option, there is a lack in the literature comparing both logistic operators. In this way, this article looks to answer the question: What Â?cost factorsÂ? and Â?service level factorsÂ? are commonly engaged in shippers and consignees' choice to operate through dry port or seaport? To fulfill this question, data were obtained through an analysis of 72 papers from Scopus and Web of Science databases. As result, a set of 11 cost factors and 25 service level factors were found. Working as a first step for future researches, this article helps to fulfill the literature gap, offering theoretical and managerial contributions.

ICIEOM2020_FULL_0013_37477

IMPACT OF COVID-19 ON DONOR DECISION MAKING

ÁREA: ICIEOM2020 / 13. Disaster Management
AUTORES: HíNGRED FERRAZ PEREIRA;THARCISIO COTTA FONTAINHA;RENATA ALBERGARIA DE MELLO BANDEIRA;RENATA ANDERSON;PATRICIA ALCANTARA CARDOSO

10.14488/ijcieom2020_full_0013_37477

humanitarian operations. donor behavior. exploratory research. covid-19 pandemic.

This paper aims to identify the changes in factors that influence donation behavior based on the perception of who donated before and after the COVID-19 pandemic. To this end, an empirical study was carried out using the exploratory research approach and following a six steps survey method. The research uses a questionnaire addressing 14 factors that influence donations according to previous studies on donor behavior and statistical analysis to verify respondents' consistency. Results indicate the disaster awareness and the frequency of donation to certain entities as the two factors with higher percentages of change after the pandemic. The main contribution of this exploratory research is the indication of a priority order of factors to be considered in eventual adjustments in fundraising campaigns developed by humanitarian organizations. Also, the research identifies direct and indirect evidence on the effect of the pandemic in changing 7 out of 14 factors associated with the decision to donate. Future research encompasses the further investigation of the reasons for statistics inconsistencies in the respondentsÂ? perceptions as well as the differences between current and previous findings.

ICIEOM2020_ABST_0001_37425

IMPACT OF INDUSTRY 4.0 ON THE LEAN MANAGEMENT CONCEPT: A SYSTEMATIC LITERATURE REVIEW

ÁREA: ICIEOM2020 / 01. Operations and Process Management
AUTORES: JOSE MARTINO NETO;VALERIO ANTONIO PAMPLONA SALOMON;ANTONELLA PETRILLO;GETULIO KAZUE AKABANE

10.14488/ijcieom2020_abst_0001_37425

industry 4.0; lean management; systematic literature review

The industrial world is experiencing the wave of industry 4.0, incorporating new technologies capable of ensuring new forms of competitiveness in a globalized market. However, we must understand how the integration with the Lean Manufacturing concept will be, widely disseminated and incorporated by organizations. Through a systematic bibliographic review, the objective of this article is to investigate the impacts of Industry 4.0 on the Lean concept, in order to diagnose possible gaps, visualize research opportunities and understand how these domains can interact. The results show that there are conceptual divergences of integration between researched models, as well as the need for practical validations.

ICIEOM2020_FULL_0007_37408

IMPACTS OF THE ASSUMPTIONS USED FOR THE SIMULTANEOUS DATA RECONCILIATION AND PARAMETER ESTIMATION PROBLEM

ÁREA: ICIEOM2020 / 07. Knowledge and Information Management
AUTORES: TARCISO DE CASTRO ROSARIO;RICARDO DE ARAUJO KALID;DANIEL DINIZ SANTANA

10.14488/ijcieom2020_full_0007_37408

data reconciliation, parameter estimation, residual analysis, weighted least squares

The adjustment of data obtained in an experimental procedure so that they meet process constraints, such as mass and energy balances, is known as data reconciliation. In some cases, simultaneously to the reconciliation, it is necessary to estimate the parameters of a process model. The simultaneous evaluation of data reconciliation and parameter estimation involves an optimization problem build on statistical hypotheses. It is possible to use the reconciled quantities and the estimated parameters the optimization of process plants or statistical process control, so it is important to evaluate the statistical significance of the results obtained, which depends on the validity of the assumed hypotheses for the optimization problem. Thus, this work assesses the impacts of the assumptions adopted for the simultaneous evaluation of data reconciliation and parameter estimation, in addition to the statistical interpretation of the results especially the behavior of residuals, through a case study applied to a heat exchange process.

ICIEOM2020_FULL_0001_37450

IMPROVEMENTS IN LOGISTICS PROCESSES AND ASSOCIATED WORKING CONDITIONS USING THE PRINCIPLES OF LEAN THINKING, ERGONOMICS AND SIMULATION

ÁREA: ICIEOM2020 / 01. Operations and Process Management
AUTORES: TIAGO AFONSO;ANABELA ALVES;PAULA CARNEIRO;ANTONIO A C VIEIRA;ANTÓNIO GONÇALVES

10.14488/ijcieom2020_full_0001_37450

lean thinking, continuous improvement, logistics, ergonomics, simulation.

Continuous improvement is an integral part of the management processes of organizations. The success of a company does not involve linearity of actions, but a constant concern and adaptation to possible changes, in terms of technological or human resources of an organization. Bearing this motivation in mind, this project was developed in a company of metal components for the automotive industry, and its main objective was the overall improvement of several logistic processes and their associated working conditions, using Lean Thinking principles, Ergonomics, and Simulation. In particular, the introduction of milk run in an autonomous production unit was proposed and assessed, considering its performance, as well as the ergonomic conditions of the operators. Considering this, three types of problems associated with the autonomous production unit under study were identified. Thus, the purpose of this article is twofold: 1) presents and discusses the proposals to solve such problems, and 2) assesses the performance of an Automated Guided Vehicle (AGV) to reduce waste and improve internal logistics metrics, using simulation.

ICIEOM2020_FULL_0003_37412

IMPROVING THE PERFORMANCE OF THE ATTRIBUTE CHART NPX

ÁREA: ICIEOM2020 / 03. Quality Management
AUTORES: LEANDRO ALVES DA SILVA;LINDA LEE HO;ROBERTO COSTA QUININO

10.14488/ijcieom2020_full_0003_37412

control chart, variable and attribute inspection, monitoring the process mean, variable sample size, average run length

This paper proposes an improvement in terms of speed of detecting anomaly/changes in the attribute ?np?_x chart employing variable sample size for monitoring the mean value of a variable (X) in a process. Sequential sample size of n_a, n_b are extracted with n_a > n_b. Each item is classified as approved or not according to a discriminant limit (z). In the end we?ll have Y_a and Y_b classified as disapproved items. Whenever Y_(a )> UCL_na or Y_(b )> UCL_nb, the process is judged to be out of control and after adjustments in the process, the inspection is always restarted with a sample size n_a. The parameters used in the construction of the ?np?_x chart with simplified variable sample size were obtained through a search for values that optimize their performance, such that can compete with the traditional X ? control chart. The performances were compared with traditional X ? control chart in terms of average run length (ARL) in scenarios of shift (?) in the process mean.

ICIEOM2020_FULL_0006_37205

INDUSTRY 4.0 CHANGES IN TECHNOLOGY PROVIDERS? REVENUE STREAMS: A BUSINESS MODEL VIEW

ÁREA: ICIEOM2020 / 06. Strategy and Organizational Engineering
AUTORES: ÉRICO MARCON;ALEJANDRO GERMÁN FRANK

10.14488/ijcieom2020_full_0006_37205

digital products, business model, digitization, smart manufacturing, digital services.

Industry 4.0 concept evolved from an advanced manufacturing view, toward a change of paradigm in the whole industry value chain, from design, through supplier and customer integration up to the final offer of smarter solutions. In this sense, this evolution is expected to impact the company?s revenue streams, in special, for technology providers, as they must meet new demands and innovative value delivery forms. In this article, we address such an impact with five case studies from Brazilian companies that provide Industry 4.0 solutions through qualitative interviews. Our results show that the changes in the business model promoted by I4.0 are mainly due to the possibility of servitizing old or new offers through digitization. Thus, companies can improve processes and solutions leading to greater revenues with more recurrent payments from customers. Grounded on these results we discuss how each of them impacts providers? and the challenges companies face to capture more value and develop new offers that leverage this new paradigm, such as the provision of monitoring or a complete solution with consultancy based on the high amount of information shared by customers.

ICIEOM2020_FULL_0012_37273

INDUSTRY 4.0 ENABLING TECHNOLOGIES APPLICATION IN HEALTHCARE AREAS - A SYSTEMATIC REVIEW

ÁREA: ICIEOM2020 / 12. Heathcare Operations Management
AUTORES: FRANCESCO FACCHINI;GLÓRIA DE FÁTIMA PEREIRA VENTURINI;LUIZ FERNANDO RODRIGUES PINTO;SALVATORE DIGIESI;GIORGIO MOSSA

10.14488/ijcieom2020_full_0012_37273

industry 4.0, healthcare, enabling technologies

In healthcare sector advanced technologies are adopted in order to develop high value processes and offer excellence, safety, and accessibility to patients, workers, healthcare operations, and quality management. Industry 4.0 enabling technologies provide benefits in the management of services and healthcare. Objective: to identify studies that show possible applications of Enabling Technologies of Industry 4.0 in the healthcare area. Method: this research work carried out a bibliographic review of articles that investigate applications of Industry 4.0 enabling technologies in the field of healthcare. Conclusion: the selected studies deal primarily with the application of Industry 4.0 Enabling Technologies for activities related to data management, analysis, treatment and sharing healthcare information. The contribution of this study focuses on providing information on the advances of Industry 4.0 and its technologies enabled in the healthcare sector, allowing the prospecting of new opportunities for action and applications of technologies that already exist in the healthcare context.

ICIEOM2020_FULL_0001_37178

INDUSTRY 4.0 IN COAL MINING: A COMPARATIVE STUDY BETWEEN A TRADITIONAL AND A 4.0 OPERATION

ÁREA: ICIEOM2020 / 01. Operations and Process Management
AUTORES: NELSON KADEL JUNIOR;JOCIELI FRANCISCO DA SILVA;MIGUEL AFONSO SELLITTO

10.14488/ijcieom2020_full_0001_37178

industry 4.0, coal mining, internet of things

This article aims to analyze the benefits of implementing digital technologies of industry 4.0 in the context of coal mining. The study uses primary bibliography on the theme of industry 4.0 in mining, seeking to verify the advantages in the use of technologies in the industry and to create a conceptual framework to guide the case study. Two mining plants from the same company are the units of analysis. The first follows the historical evolution of the mining process but stopped evolving in the 1980s. The second is a new unit, planned and built within the new mining concepts, linking to them some digital technologies of industry 4.0. In this context, we sought to analyze whether there were improvements in product quality, in the efficiency of the process and in the safety of the operation in the plant that uses digital technologies. This survey was conducted through interviews with managers from both units. The results indicate that the plant with digital technologies has a more homogeneous final product and that it meets the customer's specifications more efficiently, the unit process is linear, safer, and more sustainable concerning the traditional unit.

ICIEOM2020_FULL_0001_37251

INDUSTRY 4.0 MATURITY MODELS: REVIEW AND CLASSIFICATION AS A SUPPORT FOR INDUSTRY 4.0 IMPLEMENTATION

ÁREA: ICIEOM2020 / 01. Operations and Process Management
AUTORES: OLGA MARIA FORMIGONI CARVALHO WALTER;EDSON PACHECO PALADINI;ELISA HENNING;ANDREA CRISTINA KONRATH

10.14488/ijcieom2020_full_0001_37251

industry 4.0, maturity models, literature review.

Industry 4.0 is considered an important current trend and many companies are aware of its concept and the thrust that this technology can provide for the company's business model. However, many companies still do not know the starting point to implement this technology. In this sense, the analysis of maturity models in this topic can support industries in providing an Industry 4.0 roadmap implementation. This paper aims to identify and discuss Industry 4.0 maturity models (I4MM) available on literature, based on the dimensions of these models, as well the maturity level they can measure. This paper also identify weaknesses and other issues of those approaches, and based on this result derive recommendations for a better, more suitable and comprehensive Industry 4.0 maturity model. To achieve the aims of the research, we have followed the systematic literature review methodology. The I4MM characteristics were grouped in some parameters such as: dimensions, classification levels, whether developed by scientific method or consulting. The results demonstrate that the research on the theme is in the beginning of development, the I4MM developed in partnership with universities and consultancies are more robust because their dimensions cover a greater range of aspects when compared to academic-based I4MM and there is no common method in the field in terms of scope, dimen-sions, measurements and indicators.

ICIEOM2020_ABST_0001_37138

INDUSTRY 4.0 TECHNOLOGY PROVIDERS SUPPLY CHAIN: THE MODERATING ROLE OF SUPPLY CHAIN ACTORS

ÁREA: ICIEOM2020 / 01. Operations and Process Management
AUTORES: GUILHERME BRITTES BENITEZ;MATEUS JOSÉ DO RÊGO FERREIRA LIMA;NÉSTOR FABIÁN AYALA;ALEJANDRO GERMÁN FRANK

10.14488/ijcieom2020_abst_0001_37138

industry 4.0; supply chain network; technology providers; smes; collaboration

Purpose: Our study focuses on Industry 4.0 technology provision. SMEs technology providers may need the support of different supply chain actors to be able to cope with the vast range of technology domains needed in the Industry 4.0 context. We study the contribution of four types of supply chain actors: suppliers of technology components, other companies from the same sector, R&D centers, and technology adopters (customers). We analyze how these four actors moderate the effect that the offer of Industry 4.0 integrated solutions has on three main competitive strategies: cost, focalization and differentiation. Methodology: We conducted a survey in 77 automation SMEs, using OLS regression with moderating effects. As independent variables, we consider the level of integration of 15 technologies and 7 classic automation activities in the offer of Industry 4.0 solutions. As dependent variables, we study three outputs representing metrics of competitive strategies: technology cost reduction (cost), customer loyalty (focalization) and technology innovation (differentiation). As moderators, we consider four types of supply chain actors. Findings: Expanding the range of technology offering allows to increase customer loyalty and technology innovation. Collaboration with other technology complementors leverage these results as well as it helps to reduce technology costs. On the other hand, customers and R&D centers elevate costs, but R&D centers can foster long run innovation. Originality/value: Our results demonstrate the importance of creating supply chain networks (or ecosystems) between technology providers to offer wider solutions for Industry 4.0.

ICIEOM2020_FULL_0007_37130

INFORMATION SECURITY AND MACHINE LEARNING: ENCRYPTION ALLOCATION BASED ON RECOGNIZING OF TEXT PATTERNS

ÁREA: ICIEOM2020 / 07. Knowledge and Information Management
AUTORES: PEDRO HENRIQUE JUNIO SANTOS;CARLOS AUGUSTO DE FARIA COSTA JUNIOR;LUIZ MELK DE CARVALHO;FLÁVIO HENRIQUE BATISTA DE SOUZA;DIVA DE SOUZA E SILVA RODRIGUES

10.14488/ijcieom2020_full_0007_37130

machine learning, information security, cryptography, classified information

The productive processes have presented a high demand and generation of data and information. However, risks and attacks on the digital data of the companies have presented significant threats and losses to the industries that are embedded in the industrial revolution 4.0. Thus, this paper aims to present the feasibility study of an automated methodology, focused on cryptographic allocation, according to the degree of confidentiality of its content. Based on text pattern recognition algorithms such as Multilayer Perceptron (MLP) and Support Vector Machine (SVM), the proposed solution promotes a series of experiments in order to analyze whether certain information is confidential or ?very? confidential. After analyzing the information within the message content, using text pattern recognition techniques, the encryption algorithm responsible for encoding the message is chosen. With this approach it possible to choose either stronger encryption for very confidential information or a weaker encryption for not-so-confidential information. The experimentation has a performance analysis in order to evaluate the computational cost of the processes involved.

ICIEOM2020_FULL_0006_37472

INVESTIGATION OF THE APPLICATIONS OF MULTICRITERIA METHODS IN DECISION-MAKING FOR THE LOCATION OF DISTANCE EDUCATION CENTERS

ÁREA: ICIEOM2020 / 06. Strategy and Organizational Engineering
AUTORES: JÉSSIKA ALVARES COPPI ARRUDA GAYER;MARCOS AUGUSTO MENDES MARQUES;DAYSE MENDES;FABIANO OSCAR DROZDA;RICARDO JUNIOR DE OLIVEIRA SILVA

10.14488/ijcieom2020_full_0006_37472

multicriteria methods, support decisions, location decision, distance education

The last Census of higher education conducted in Brazil, in 2018, identified an increase of approximately 9% in the modality of distance learning. This achievement is due to the decree published by the Ministry of Education, in which it authorizes higher education institutions to offer distance courses without needing to have them in person, and the ordinance that indicates how many faceto-face support centers the institution can implement, according to the IC ? institutional concept. Thus, the question is: what methods have been used for localization decision? (method, tool, process, etc.)? Is there any application in the educational area, specifically in higher education? It is known that the incorrect choice of location creates obstacles to productivity or service, so this study aims to verify which methods are used in the decision-making for the location of distance education centers, that is, a method of investigation. This research is characterized as explanatory, in which it aims to explain the reason for the events, as well as to deepen the knowledge of reality. As a result, 9 articles related to the localization decision were found, but none related to Distance Education

ICIEOM2020_FULL_0001_37384

LEAN HEALTHCARE APPLIED IN MEDICINES? PREPARATION IN MEDICAL CLINIC AT A MEDIUM-SIZED HOSPITAL

ÁREA: ICIEOM2020 / 01. Operations and Process Management
AUTORES: SAMUEL MARTINS DREI;PAULO SÉRGIO DE ARRUDA IGNÁCIO

10.14488/ijcieom2020_full_0001_37384

lean healthcare, medical clinic, preparation of medicines.

Lean Manufacturing was born with a paradigm shift in production processes, eliminating waste and maintaining quality. This philosophy has continually adapted to other areas, reaching health with Lean Healthcare, which incorporates the same purpose, however it is linked to a sector that demands even greater quality and efficiency, as the risks involve well-being and health of the consumers' lives. Therefore, the objective of this work is to propose an application of Lean Healthcare in the activity of preparation of medicines in the medical clinic. The methodology used is based on two macro phases: the first intends to map the process in which the focus activity is inserted and, thus, obtain the associated waste, identifying the root cause of what will be treated. The second macro phase will propose a tool to reduce the waste in question, applying the necessary actions within a schedule and, finally, collecting the results and comparing them with the initial measurement. As a result, it is expected to improve the hospital's processes, so that they reflect improvements in time and displacement, obtaining concrete information about the implementation of this philosophy, concluding that the practice taken can be replicated in other waste, generating a systematic proposal.

ICIEOM2020_ABST_0001_37370

LEAN MANUFACTURING AND INDUSTRY 4.0: INTEGRATED ROADMAP PROPOSAL FOR PROCESS MANAGEMENT MATURITY ASSESSMENT

ÁREA: ICIEOM2020 / 01. Operations and Process Management
AUTORES: VANESSA ALINE DOS SANTOS;EDUARDO DE FREITAS ROCHA LOURES;LUIZ FELIPE PIERIN RAMOS;FERNANDO DESCHAMPS

10.14488/ijcieom2020_abst_0001_37370

lean manufacturing; industry 4.0; bpmn, evaluation roadmap

In the face of globalization and increased competitiveness, we can see the constant search of organizations for increasingly efficient production models. In the midst of this journey, the practices of the Lean Manufacturing System have been progressively consolidated in the industrial context, making the search for significant incremental results challenging. In this sense, the implementation of emerging technologies and innovations from Industry 4.0 (I4.0) emerges as a potential alternative for achieving effectively lean and integrated manufacturing. Although there are studies focused on models of maturity in these contexts, there are still few that deal with the procedural dimension that encompasses the evaluation flow and the practical application involving joint steps of both domains. Thus, this study aims to survey the existing evaluation processes in the domain of Lean Manufacturing and I4.0 in the proposal of an integrated, cyclic and flexible roadmap that guides organizations in their maturity assessments and respective decision making. strategic. The model was based on the Business Process Model and Notification (BPMN), having practical application in a metalworking industry through suggested maturity models. For Industry 4.0, the results reveal the organization's maturity level as Survivor. The solutions that would best address the organization's current weaknesses over Lean were: Cloud Technologies (11.86%) and Mobile Technologies (10.44%). The results obtained were consistent with the reality of the organization and indicate the applicability of the model to support the organizational evaluation in the Lean and I4.0 dimensions.

ICIEOM2020_FULL_0010_37145

LIFE CYCLE ASSESSMENT (LCA) IN CIRCULAR ECONOMY SYSTEMS: A BIBLIOMETRIC LITERATURE REVIEW

ÁREA: ICIEOM2020 / 10. Sustainability
AUTORES: WILSON DE PAULA TEIXEIRA

10.14488/ijcieom2020_full_0010_37145

circular economy; life cycle assessment; bibliometrics.

This article conducts a bibliometric study on the topics; circular economy and life cycle assessment, looking for publications that cover the subject and make a network map of the main authors cited through the evaluation of 339 publications. The research was carried out through bibliometric analysis in the Scopus database, in the period from 2010 to 2020. It is observed that the topic addressed is inserted in the most diverse branches of industrial activities, such as; solar photovoltaic, solvent, food and many other segments. The result of this work may contribute to new research in the area of ??circular economics and life cycle assessment, since bibliometric analysis allows to draw a list of the main publications based on the construction of a theoretical framework.

ICIEOM2020_ABST_0002_37219

LOGISTIC OPTIMIZATION MODEL APPLIED TO A MOBILE ENERGY STORAGE NETWORK

ÁREA: ICIEOM2020 / 02. Logistics and Supply Chain Management
AUTORES: LUIZ EDUARDO COTTA MONTEIRO;HUGO MIGUEL VARELA REPOLHO;RODRIGO FLORA CALILI;DANIEL RAMOS LOUZADA;RAFAEL SAADI DANTAS TEIXEIRA

10.14488/ijcieom2020_abst_0002_37219

logistic; optimization model; batteries

This paper presents a logistic optimization model applied to a new business model developed by a Startup in Rio de Janeiro that distribute charging batteries (powerbanks) for mobile devices in a network of terminals. A literature search identified a GAP of studies applied to similar battery networks. An integer programming model is developed based on bicycle sharing network location models and combines strategic network location and sizing decisions (where to install and the capacity of the terminals) with operational decisions (allocation and reallocation of batteries at the terminals). The model innovates by including: battery recharge time; different types of customer service; charging system settings and battery performance. Another new aspect of the model is related to the Objective Function (FO) which seeks to maximize the economic performance of the network obtained from the difference between the revenue generated by the leasing of batteries and the logistical costs of reallocating batteries, maintenance of terminals and depreciation of batteries in the system A case study is carried out using real data from a terminal network in Rio de Janeiro to simulate different demand scenarios using the Monte Carlo Method. The models are implemented simulating a one-day operation and using five different demand scenarios and four different voltage and electrical current settings for the batteries. The results indicate that faster charging batteries tend to have a positive impact on the efficiency and profitability of the network. The model can be used as a reference for other applications such as electric vehicle networks optimization.

ICIEOM2020_ABST_0002_37374

LOGISTICS AND CIRCULAR ECONOMY: CHALLENGES AND PATHWAYS

ÁREA: ICIEOM2020 / 02. Logistics and Supply Chain Management
AUTORES: WELLINGTON ALVES;ÂNGELA MARIA ESTEVES DA SILVA;HELENA SOFIA RODRIGUES

10.14488/ijcieom2020_abst_0002_37374

circular economy, logistics, challenges

1 Introduction The industrial sector faces significant economic and environmental challenges towards a sustainable process. Challenges such as lack of non-renewable resources have culminated in a prompting call for disseminating initiatives aiming to develop sustainable business models in the industrial sector. The seeking of alternatives to balance efficiency gains and environmental protection in the industrial processes [1], Circular Economy (CE) has emerged as an alternative to support companies on overcoming environmental and economic challenges. According to Ellen MacArthur Foundation [2] which presents the first attempt to define CE, an industrial system can be seen as restorative system, if replace the concept of end of life and shifts towards a business model which consider waste elimination from the design to a disposal of a product or service, in all stages of production. In doing so, CE aimed at reducing the negative impacts of the linear economy through building long term resilience business and economic opportunity, in order to provide environmental and social benefits. Since CE aims to provide organizations transition from the linear to the circular production model, enhancing flows of goods and services is a first step on applying this concept. Logistics is an enabler to companies to support this transition, due to logistics links resources, products and consumers. In this sense, logistics has appeared as one important tool to support organizations on both applying CE strategies and closing the loop of CE. However, in the current literature researches linking logistics and CE are still scarce and to the best of the author?s knowledge have not been explored by the industrial sector. This research attempt to contribute to bridging the gap between CE and logistics [3]. This research aims to analyze the contribution of logistics to circular economy practices. The work included an analysis of the current literature focusing on the integration of logistics as an important tool towards CE, including particular aspects related to environmental and economic dimensions and green logistics. 2 Methodology In order to achieve the objective of this research, a review of the existing literature related to logistics, green logistics and CE was drawing upon. Then, with the purpose of understanding the contribution of logistics to support companies on adopting CE practices, the scarce literature related to this integration was also consulted, resorting to reports from companies and public organizations. 3 Main findings This research aimed to contribute to filling the gap in evaluating the integration of logistics and CE, drawing up useful information?s about the great potential to integrate logistics practices in CE initiatives. On regards, the increasing demand for limited natural resources results from the literature showed that CE has emerged as an alternative to reduce waste of the industrial process but at the same time closing the loop in the industrial process. From the logistics? side, the added value to logistics on supporting companies in the field of the chain, namely in identifying raw materials from products and process in companies as well identifying possible patterns/companies to reintegrate waste in the chain. It would support companies in threefold, firstly on developing a circular production-consumption chain, secondly in reducing costs in the industrial process, thirdly on reducing the environmental impact. 4 Conclusions The analysis from the current literature showed that logistics has great importance around the industrial process, it ranges from design to distribution of products and services which justifies the great potential to support companies on the transition to a linear economy. The research presented allowed to suggest some implication to industrial sector towards an implementation of a sustainable circular strategy considering the values of CE and mainly based on logistics prin

ICIEOM2020_FULL_0001_37379

MAINTENANCE IN THE INDUSTRY 4.0 SCENARIO: SYSTEMATIC REVIEW

ÁREA: ICIEOM2020 / 01. Operations and Process Management
AUTORES: BRUNO EDUARDO CANDIDO DE OLIVEIRA;FERNANDO CELSO DE CAMPOS;MILTON VIEIRA JúNIOR

maintenance 4.0; maintenance management; total productive maintenance; industry 4.0

Smart machines and factories use advanced technologies such as networks, connected devices, data analysis and artificial intelligence to achieve more efficient predictive maintenance. With this scenario, we move from an environment where machines communicate with man, for machines communicating with machines and making decisions at all times, with a minimum number of human beings involved. Noting the importance of maintenance in the scenario of Industry 4.0, this article aims to study this context. Literature searches were carried out in three databases, Scopus, Science Direct and Web Of Science, and then a systematic literature review (RSL) supported with the StArt tool. As a result, a total of 65 articles were found from the search for the keywords Industry 4.0, Maintenance Management, Maintenance 4.0 and Total Productive Maintenance and subsequently systematically revised based on the following inclusion and exclusion criteria. Therefore, it concludes the trend of using predictive maintenance and technologies such as cyber-physical systems (CPSs). As future work, it is suggested to conduct a study on maintenance management practices and tools for the context of Industry 4.0.

ICIEOM2020_ABST_0001_37175

MAINTENANCE PLANNING IN LARGE HYDROELECTRIC PLANTS USING A NOVEL TECHNIQUE TO DIFFERENTIATE BETWEEN THE INFLUENCES OF OPERATIONAL AND MAINTENANCE ACTIONS

ÁREA: ICIEOM2020 / 01. Operations and Process Management
AUTORES: ARTHUR HENRIQUE DE ANDRADE MELANI;MIGUEL ANGELO DE CARVALHO MICHALSKI;ADHERBAL CAMINADA NETTO;GILBERTO FRANCISCO MARTHA DE SOUZA;CARLOS ALBERTO MURAD

10.14488/ijcieom2020_abst_0001_37175

high-consequence industries, critical technical systems, equipment operation, maintenance management, maintenance planning, expert knowledge-based techniques

Good practices in maintenance and operation of systems and their component items are essential for a safe, reliable, and efficient performance in power plants or any other high-consequence industry. Particularly, adequate maintenance planning is vital for ensuring continuous equipment operation in order to reduce costs, comply with regulations, and satisfy strict demands from clients and other interested parties. This work considers the possibility of developing a new expert knowledge-based technique capable of providing a clear-cut distinction between consequences deriving from operational and maintenance practices, and accordingly their bearing upon maintenance requirements, so as to help maintainers discriminate between the different influences of operational and maintenance actions on maintenance needs and planning in large hydroelectric plants.

ICIEOM2020_FULL_0010_37434

MAKER MOVEMENT AS PART OF INDUSTRY 4.0

ÁREA: ICIEOM2020 / 10. Sustainability
AUTORES: MAQUELE ANTUNES DE OLIVEIRA

10.14488/ijcieom2020_full_0010_37434

industry 4.0, fourth industrial revolution, maker movement

The paper investigates the participation of the Maker Movement in Industry 4.0. The paradigm of Industry 4.0 is analyzed from the technological, business model and sustainability perspectives and is correlated to the characteristics found in the production of the Maker Movement. Firstly, a literature review was conducted in order to characterize Industry 4.0 as a productive paradigm and to setting up which are the characteristics of the production of Maker Movement. The literature review was also used to elaborate a mental map and to establish from which perspectives the work would be built. As a result, the paper presents the correlations made between Industry 4.0 and the Maker Movement from the proposed perspectives. In conclusion, was found the Maker Movement can be considered part of Industry 4.0 ? although it does not follow the orthodox industrial model.

ICIEOM2020_FULL_0001_37177

MARKOVIAN STUDY OF BIOMETRIC AND SOCIAL STATES OF THE CAREER FLOW OF MILITARY PERSONNEL: A CONTRIBUTION TO THE MILITARY SOCIAL PROTECTION SYSTEM OF BRAZILIAN ARMED FORCES

ÁREA: ICIEOM2020 / 01. Operations and Process Management
AUTORES: LUIZ FREDERICO HORÁCIO DE S. DE B. TEIXEIRA;CARLOS FRANCISCO SIMÕES GOMES;MARCOS DOS SANTOS

10.14488/ijcieom2020_full_0001_37177

markov chain, steady state probability, brazilian armed forces.

Due to the particularities of the military profession, in order to be able to adopt good governance and internal control practices, it is necessary that the military's career is analyzed according to its specificities. In the present work, a Markovian study is carried out in relation to the career flow of the personnel of the armed forces of Brazil. It is intended to verify if it is possible, from the biometric and social states to which a military person may be subject, to attain a state of stability. A simplified modeling with six possible states was arbitrated, in order to guarantee the conditions for applying the Chapman-Kolmogorov equation. A 2018 Brazilian Navy database was used to estimate the assumption probabilities of each state. This paper brings a brief review of the concepts of Markov Chain and the results indicate that this technique is applicable for the sample in question, being possible to calculate the probabilities of steady state.

ICIEOM2020_FULL_0001_37486

MEASUREMENT OF EFFICIENCY FOR E-COMMERCE CUSTOMER SERVICE UNDER DATA ENVELOPMENT ANALYSIS

ÁREA: ICIEOM2020 / 01. Operations and Process Management
AUTORES: LUIS FELIPE SOARES DOS SANTOS;LIDIA ANGULO MEZA

10.14488/ijcieom2020_full_0001_37486

data envelopment analysis; customer service; operational excellence

Data Envelopment Analysis (DEA) is a method for measuring the efficiency of decision processes which has multiple sources (inputs) to be reduced and outcome (outputs) variables to be increased. This paper employs DEA to assess efficiencies amongst e-commerce?s customer services teams. Due to the COVID-19 pandemic, many consumers are buying in online stores, standing out this kind of enterprise service. An area of development in recent years has been devoted to applications of DEA which performs measurements using, simultaneously, the increasing of desirable outputs and decreasing of undesirable output for the operational efficiency of decision-making units (DMUs). The model was chosen because it can cover the outcome of legal fees of a company, which is expected to be reduced due to financial expenses and the image of a corporation. The objective is evaluating the operational performance of different teams in the company to measure the teams which are not performing well in relation to the others and how much each one must improve to become efficient.

ICIEOM2020_FULL_0006_37403

MEASURING WELL-BEING THROUGH OECD BETTER LIFE INDEX: MAPPING THE GAPS

ÁREA: ICIEOM2020 / 06. Strategy and Organizational Engineering
AUTORES: GLAUCIA DA COSTA AZEVEDO;HELDER GOMES COSTA;JOSÉ RODRIGUES DE FARIAS FILHO

10.14488/ijcieom2020_full_0006_37403

better life index, well-being, oecd, literature review

The insufficiency of purely monetary indexes such as gross domestic product (GDP) created the need for indicators that incorporated the aspects of life that mattered to people and brought quality into their lives. One of the indicators of well-being developed in this context is the Better Life Index (BLI), designed by Organization for Economic Cooperation and Development (OECD). After the advances already achieved, it arises the need to explore the new gaps in this subject. This paper aims to map the research gaps of the BLI through a structured review of the published articles about the theme with the identification of the main applications and critics of the BLI model. It was identified that the BLI is becoming more relevant within the academia and is considered as a well-known and stablished well-being indicator. The authors are willing to develop new frameworks with the purpose of correcting BLI flaws, but a few do it while comparing data from different years, which should not be done. This paper contributes by providing a structured knowledge base on OECD Better Life Index, where authors interested in developing new studies using BLI can verify the tendencies of the theme and take advantage of a quick view of the academic publications on this subject.

ICIEOM2020_ABST_0001_37369

MES PERSPECTIVES FOR THE INDUSTRY 4.0 PANORAMA

ÁREA: ICIEOM2020 / 01. Operations and Process Management
AUTORES: ANDRÉ LUIZ ALCÂNTARA CASTILHO VENÂNCIO;EDUARDO DE FREITAS ROCHA LOURES;FERNANDO DESCHAMPS;GUILHERME LOURO BREZINSKI

10.14488/ijcieom2020_abst_0001_37369

manufacturing execution systems; information and communication technology; legacy systems; industry 4.0.

Today, in times which Industry 4.0 (I4.0) technologies are dominating the industry trends, there are many software solutions at the market that promotes to digitally transform systems and its processes. Particularly in the level in which communication and information technologies (ICTs) impact the most, some solutions such manufacturing execution systems (MES) are considered backbone in this modern concept of digitally-driven manufacture. However, because the MES is such an all-encompassing system, its implementation involves balance the interests of stakeholders from across the company. Even the most agile manufacturers will need to halt specialists and spend months reviewing the scope of their MES-level needs. Because of this, many times and already functional MES become a legacy system, as it promotes integrating data from various aspects of the manufacturing process, giving them long-living characteristics. And more, it is clear the existence of functions overlaps regarding the ISA95 MES-level standards and software solutions on the market. Many propose enterprise resource planning (ERP) functionalities aggregated directly with shop-floor systems. Looking to clarify the gap between literature, to cite ISA95, and software vendors in the present scenario, our research intends to ease (firstly) the understanding of MES within I4.0 vision, and (secondly) how solutions can be perceived regarding modern MES (long-term solution) or already implemented legacy systems that may already contain the functions necessary to a short-term modernization strategy.

ICIEOM2020_FULL_0002_37395

MODELING FOR EVALUATION CRITICAL OFFLOADING ON OIL PLATFORMS

ÁREA: ICIEOM2020 / 02. Logistics and Supply Chain Management
AUTORES: SILVIA HELENA FERRARO;ROBERTO DA COSTA CARDOSO;FERNANDO LUIZ CYRINO OLIVEIRA

10.14488/ijcieom2020_full_0002_37395

offloading; modeling; dynamic regression; oil logistics; offloading schedule.

The growing oil production in Brazilian waters makes the logistic management of offloadings from the platforms increasingly important. The platform offloading schedule must be carried out in advance, avoiding production stoppage due to lack of available storage space. An interruption in oil production, however small, causes a direct revenue loss for the producing company. Offloadings performed very close to the platform TOP represent an imminent risk of production loss and are called critical offloadings. This work aims to carry out a statistical study with historical data from 2016 to 2019 to create a multivariate model for forecasting critical offloadings in a large Brazilian oil company. The dynamic regression model was used to evaluate how the variables present in the offloading scheduling process are related to the monthly percentage of critical offloadings. From the developed model, it was identified that the variables of monthly production, average stock, weather forecast, average batch and monthly exports impact the percentage of critical offloadings. A sensitivity analysis was carried out, from which it was possible to conclude that the company's inventory management is the fundamental factor for the reduction of critical offloadings and, consequently, the reduction of the chances of production loss.

ICIEOM2020_FULL_0001_37309

MULTI-CRITERIA DECISION MAKING IN THE VALIDATION OF INDICATORS FOR PRIORITIZATION OF PROCESSES IN BPM

ÁREA: ICIEOM2020 / 01. Operations and Process Management
AUTORES: RAPHAEL SIGOLO RUAS GONÇALVES;VITOR DA SILVA PALACIOS;DANIELA PADULA;RENATO DE CAMPOS;JOSÉ DE SOUZA RODRIGUES

10.14488/ijcieom2020_full_0001_37309

business process management, process indicator, ahp, bpm, kpi.

Business Process Management (BPM) as a management tool that supports business processes through methods, techniques, and software that design, represent, control and analyze processes involving people, organizations, applications, documents and other sources of information. This paper aims to apply an MCDM, specifically the Analytic hierarchy process (AHP), in the validation of indicators for prioritizing processes in the planning phase of the BPM cycle. This article contributes towards highlighting the need for testing and validating PPIs and verifying their adherence to the reality of organizations. In a specific test, it was possible to verify that a good definition after the test avoids conceptual errors in the definition of an Indicator. It was also possible to observe the advantage of a prioritization method as the AHP concerning arbitrary choices when deciding which process is more critical to prioritize processes in the application of BPM.

ICIEOM2020_FULL_0013_37390

MULTICRITERIA APPLIED TO DEFENCE: A PANORAMA OF THE SCIENTIFIC LITERATURE

ÁREA: ICIEOM2020 / 13. Disaster Management
AUTORES: LEONARDO ANTONIO MONTEIRO PESSÔA;HELDER GOMES COSTA

10.14488/ijcieom2020_full_0013_37390

defence, multicriteria, decision

Defence decisions require taking into account multiple viewpoints, some of them subjective. This environment leads to the development of MCDM/A models. The advances already reached in this domain are spread throughout the literature, which makes difficult to have a global understanding of the subject. To fill this gap, this paper provides an overview of multicriteria applied to defence through a structured review of the literature published in journals indexed in the Scopus database. As a result, this paper presents the overall behaviour of the academic research over time, indicates the main countries of origin (China and USA), and clusters the findings into different categories for a deeper understanding of the contributions? context. The paper also highlights the main multicriteria methodologies used in the defence domain and its development tendencies. The taxonomy produced (comprising "Emergency Management" and "Military" fields), and the gaps identified may be useful for future research and helps to clearly establish how future contributions relate to the existent academic literature.

ICIEOM2020_FULL_0008_37399

OPERATIONAL RESEARCH AS A TOOL FOR THE SELECTION OF MORTALITY TABLES: THE ACTUARIAL PROBLEM OF THE BRAZILIAN ARMED FORCES

ÁREA: ICIEOM2020 / 08. Managerial Economics
AUTORES: LUIZ FREDERICO HORÁCIO DE S. DE B. TEIXEIRA;CARLOS FRANCISCO SIMÕES GOMES;MARCOS DOS SANTOS;RONALDO CESAR EVANGELISTA DOS SANTOS;IGOR PINHEIRO DE ARAÚJO COSTA

10.14488/ijcieom2020_full_0008_37399

actuarial table selection, goodness-of-fit tests, social security; armed forces.

The military of the Armed Forces are not subject to any social security regime, being supported by a specific social protection system, supported by the Union's budget forecast. For the correct measurement of costs with the veteran military and pensioners, it is necessary continuous study and monitoring of its actuarial forecasts. These, in turn, require the appropriate selection of the actuarial tables, to represent the sample of the population under analysis as faithfully as possible. The objective of this paper is to determine, among the main Goodness-of-Fit (GoF) tests disseminated in the academia, which is the best one to be applied for the selection of actuarial tables for use in the data of the military of the Brazilian Armed Forces. Consequently, making it possible to select the actuarial tables that present the best GoF for that population sample. The results indicate that the most favorable test for the studied population is the Kolmogorov-Smirnov test.

ICIEOM2020_FULL_0005_37393

PERFORMANCE EVALUATION OF SMART HOME: A SYSTEMATIC ANALYSIS OF LITERATURE

ÁREA: ICIEOM2020 / 05. Product Development
AUTORES: DÉBORA ROSA NASCIMENTO;SANDRA ROLIM ENSSLIN;JONATHAN GUMZ

10.14488/ijcieom2020_full_0005_37393

performance evaluation, smart home, systematic analysis.

The usage of smart home is an emergent matter in the construction industry and demands the builders a search for resource optimization to create strategies and competitive advantages and, therefore, supply for the users? needs. To facilitate this resource optimization, the performance evaluation tools help deciders on your decision-making. In that context, this article?s goal is to identify the characteristics of studies in the area of performance evaluation of smart home system. We used the ProKnow-C as the instrument of methodological intervention that guided the 30 article selection from the Scopus and Web of Science database. Based on the bibliographic portfolio selected: (i) the bibliometrics analysis allowed the finding of the existence of discussions of emergent characteristics in temporal periods (2005-2009, 2010-2014 and 2015-2019) (ii) the systemic analysis evinced that the descriptive and normative scientific approaches guide the development of 86% of researches from BP, with coherent activities of measurement and without the application and management of a performance evaluation of smart home sys-tem. This last characteristic enables the direction of new studies to investigate this lack of articles that would show the management of performance evaluation systems.

ICIEOM2020_FULL_0001_37276

PHM APPLICABILITY TO BOP SYSTEM MAINTAINABILITY AND OPERATIONS MANAGEMENT: A SYSTEMATIC LITERATURE REVIEW

ÁREA: ICIEOM2020 / 01. Operations and Process Management
AUTORES: THAÍS ABRANTES RODRIGUES;LORENA ALBINO SOARES DA SILVA;IARA TAMMELA;RODOLFO CARDOSO

10.14488/ijcieom2020_full_0001_37276

maintainability and operations management, prognostics health management (phm), blowout preventer (bop).

The constant advancement of systems maintenance concepts has emerged a methodology focusing on the improvement of reliability, availability and operational safety named as Prognostic and Health Management (PHM). PHM encompasses failure prognoses of an equipment or system, providing an estimate of time until a failure occurs or the remaining useful life (RUL). The prognosis makes possible to predict an undesired event before it occurs, avoid catastrophic accidents, minimize overall maintenance costs and operations downtime in complex systems. Blowout Preventer (BOP) is considered a critical equipment in oil and gas industry as its downtime cost varies between US$ 1 million to US$ 1.2 million per day [11]. In response to the emerging opportunities and in order to obtain updated concepts on the theme, the present research aims to conduct a Systematic Literature Review (SLR) on PHM applied to a BOP system through a quantitative and qualitative analysis of the literature, following the steps proposed by [14]. The research selected 69 articles to be analysed. The results expanded the knowledge on the subject as well as recent advances of PHM and demonstrated that the number of studies in this field are increasing and is a relevant methodology, when complemented with other techniques, for a better decision-making in maintainability and operations management.

ICIEOM2020_FULL_0001_37285

PREFABRICATION IN LEAN CONSTRUCTION CONTEXT: LIMITATIONS AND CHALLENGES IN THE CURRENT SCENARIO

ÁREA: ICIEOM2020 / 01. Operations and Process Management
AUTORES: FLÁVIA MOTTA CORVELLO;JOSÉ LUÍS GARCIA HERMOSILLA;CREUSA SAYURI TAHARA AMARAL;INGRID SIMONE GALATI;ETHEL CRISTINA CHIARI DA SILVA

10.14488/ijcieom2020_full_0001_37285

lean construction, prefabrication, small building.

The prefabricated construction has become an important area over the last decade, not only for its agility, but also for its adherence to the Lean Construction philosophy, that promotes the reduction of the volume of waste in building and contributes to a lower environmental impact. The search for a more efficient and innovative prefabricated construction method has promoted the development of several different models, but all of them have advantages and disadvantages, mainly related to transportation, machinery and labor, when applied to small buildings. This paper aims to identify, through a systematic review, the main and most current models of prefabricated construction, identify the gaps on the operationalization of small constructions processes and propose new research to solve the problems of prefabricated construction. The lack of versatile prefabricated models that help to improve the efficiency on the filling stage in small constructions and that allows the reuse of materials is a gap existing processes that have yet to be explored.

ICIEOM2020_FULL_0004_37418

PROCESSING TIME REDUCTION OF ACTUARIAL CALCULUS OF THE ARMED FORCES: AN APPLICATION OF PARALLEL COMPUTING

ÁREA: ICIEOM2020 / 04. Data Science and Stochastic Optimization
AUTORES: MARCOS DOS SANTOS;CARLOS FRANCISCO SIMÕES GOMES;ERNESTO RADEMAKER MARTINS;IGOR PINHEIRO DE ARAÚJO COSTA;RONALDO CESAR EVANGELISTA DOS SANTOS

10.14488/ijcieom2020_full_0004_37418

parallel computing, time reduction, actuarial calculus, armed forces, actuarial projection.

The Armed Forces (FFAA) have a considerable mass of financial and biometric data of its pensioners that needs to be submitted to its own actuarial mathematical model, in order to obtain the result of the actuarial projection of 75 years, which is a legal obligation that must be met annually. The aim of the study is to reduce the computational times necessary to obtain the results of this projection, through the application of Parallel Computing and Software Engineering techniques. It is known that actuarial calculus is a mathematical method that uses financial, economic and probabilistic concepts to size the amount of resources and contributions necessary to pay future benefits of policyholders. The research presented here achieved significant results, in that it reduced by more than 90% the processing times of the calculations referring to the actuarial projections of FFAA pensioners. In the specific case of the Brazilian Army, from a mass of data of 500,000 records, it was possible to execute a complex mathematical model of high recursivity in about 5 minutes. Currently, the world goes through numerous transformations, generating new demands for society. Problems grow in quantity and complexity, in an increasingly dynamic and volatile context, requiring quick decisions from managers, especially at the strategic level. Hence the importance of the speed of actuarial calculus under study, because, thus, it can be timely trace dearly in order to support the decision of the FFAA Senior Management.

ICIEOM2020_FULL_0007_37224

PROMOTION OF RISK MANAGEMENT IN THE ?ÁGUA DOCE? PROGRAM BASED ON THE PMBOK®

ÁREA: ICIEOM2020 / 07. Knowledge and Information Management
AUTORES: SUZZANE MERCANDELLI;GEORGE MUSTAFA;ASHER KIPERSTOK

10.14488/ijcieom2020_full_0007_37224

risk management; pmi; reverse osmosis .

From the 1990s onwards, the installation of desalination equipment using reverse osmosis membranes in the wells of the semi-arid region of Brazil began to provide drinking water to communities in this area. Currently, this process is being used by the federal government's Program named ?Água Doce?, which aims to implement 1357 reverse osmosis plants in the semi-arid region by 2020, with an investment of approximately R$ 252 million. Thus, this paper aims to identify, classify and indicate the order of priority in dealing with the risks of this Program through the application of the risk management methodology, indicated by the Project Management Institute - PMI and described in its guide PMBOK ® 6th ed. As a result, 36 risks were identified, classified, analyzed regarding their causes and consequences and ordered according to the priority in their treatment. These are facts that provide greater assertiveness in the development of an action plan to treat these risks, in order to reduce the probability and/or impacts of their occurrence. These results lead to the conclusion that the use of Risk Management in the Program under study, as in other public sector projects, is an opportunity to systematize the determination of priorities concerning the treatment of risks, avoiding/reducing deviations in schedule, cost, scope, quality and health, safety and environment (HSE).

ICIEOM2020_ABST_0001_37151

PROPOSED METHODOLOGY FOR INSPECTION OF ROAD NETWORKS USING UNMANNED AERIAL VEHICLES (UAV)

ÁREA: ICIEOM2020 / 01. Operations and Process Management
AUTORES: DANILLO MARCUS FARIAS MARINHO DO MONTE;DANIEL AUGUSTO DE MOURA PEREIRA;MARCOS SANTOS

10.14488/ijcieom2020_abst_0001_37151

road mesh, asphalt pavements, uav

The disorderly growth of the vehicle fleet in the world has caused immeasurable road phenomena. In particular, in Brazil, from 2009 to 2019 there was an 80% growth in the existing vehicle fleet in the country. This increase has caused an intense flow of vehicles on the existing road networks in the country, which, in contrast, only offers about 12% of its existing paved network. Thus, this work aims to propose an innovative methodology in Brazil for inspections of road networks aiming at the identification of apparent pathologies through Unmanned Aerial Vehicles (UAVs), since, the reflex of the increase in the vehicle fleet has caused deterioration pavements due to increased flow and overloads of heavy vehicles. To this end, inspections were carried out on two important highways in the state of Paraíba and the results indicated pathologies such as interconnected cracks, alligator leather, landslides, longitudinal and transversal cracks, holes or pans and patches, indicating that the proposed methodology for inspection on highways through of the UAVs proved to be easy to apply and objective.

ICIEOM2020_FULL_0007_37195

PYTHON COMPUTATIONAL TOOL DEVELOPMENT: IMPLEMENTATION AND CASE STUDY OF THE PROMETHEE I, II AND III METHODS

ÁREA: ICIEOM2020 / 07. Knowledge and Information Management
AUTORES: MIGUEL ÂNGELO LELLIS MOREIRA;CARLOS FRANCISCO SIMÕES GOMES;MARCOS SANTOS;MARCELA DO CARMO SILVA;JONATHAS VINÍCIUS GONZAGA ALVES ARAUJO

10.14488/ijcieom2020_full_0007_37195

promethee method, multicriteria decision methods, computa-tional tool.

The paper aims to present an explanatory analysis of the Multicriteria Decision Analysis method PROMETHEE, along with a computational tool developed in python language for application. Regarding the method, the steps that make up the mathematical logic process and the first three methods of the PROMETHEE Family are exposed in details. The tool developed has the purpose to assist the decision maker in the method application in a friendly way, being necessary for the user to only enter the data requested by the application in a given case of multicriterial problem. A case study is presented to demonstrate the functioning of the tool and the analysis of the results obtained. The proposed tool proves to be effective and it can be applied in the academic field, as a form of aid in the learning of the PROMETHEE method with different ways of result analysis, or in organizations, assisting managers in their decision making.

ICIEOM2020_ABST_0003_37246

QUALITY ANALYSIS OF THE MOTOR PUMP ASSEMBLY PROCESS USING A TECHNICAL FMEA

ÁREA: ICIEOM2020 / 03. Quality Management
AUTORES: LUCIANO CHAGAS BITENCOURT;FELIPE AUGUSTO GAYA;WILLIAM DA SILVA BORGES;DOUGLAS FERREIRA VIDAL

10.14488/ijcieom2020_abst_0003_37246

motor pump, processo, fmea method, machining

This work aims to demonstrate the application of the FMEA method in the identification and characterization of faults and their effects on a motor pump assembly line. The process was analyzed and selected some failure modes, mainly in relation to parts that were the responsibility of the machining. For each failure in the mode, its priority risk number (NPR) was determined through the combined analysis of the occurrence, severity and failure detection factors. From the analysis of the failure modes, actions were taken so that there was a threat in relation to parts with defects of previous processes, using the coordinator of the machining sector that was characterized as the sector with the greatest origin of the failure methods, it was an action plan was executed to minimize and prevent defects in parts processed by its sector, it was possible to verify whether the actions were a high viability, as these actions were carried out with an immediate result, a low cost and did not disrupt the process already carried out by the sector.

ICIEOM2020_FULL_0003_37236

REVIEW OF FOODSERVICE SERVICE QUALITY SCALES TO EVALUATE CUSTOMERS? PERCEPTION AND SATISFACTION

ÁREA: ICIEOM2020 / 03. Quality Management
AUTORES: CAMILA CORRÊA DE MELO;DENISE DUMKE DE MEDEIROS

10.14488/ijcieom2020_full_0003_37236

foodservice, service quality, scales, restaurant.

Most people are choosing to have meal out, not just for food but to have a good time. For this reason, in a competitive environment, restaurants need increasingly to move toward out-of-the-box experiences for their consumer and quickly erase friction in a dining moment, and then it is crucial evaluating the quality of food and service continuously and figuring out what restaurant can do different and better. Based on that, the proposal of this work is reviewing scales (i.e. DINESERV, TANGSERV, DINESCAPE, and others alternative measurements) used to eval-uate customers? perception of service quality by examining the quality dimen-sions, service quality attributes, types of restaurant and research methodology on previous studies. It is an exploratory-qualitative study and researches were car-ried out using Scopus and Web of Science databases to rise those main service quality scales. This paper suggests a multidimensional service quality framework composed by nine dimension ? tangibility of place, accessibility, food quality, beverage quality, service quality, employee, environmental-oriented, tech-oriented, social interaction. Each dimension must be examined using a particular group of attributes. In addition, this study aims to provide insights of way to evaluate the service quality in restaurants in order to understand what do matter to patrons. Furthermore, managers could explore service quality dimensions to im-prove the customer perceived value and behavioral loyalty in a service encoun-ters.

ICIEOM2020_ABST_0009_37172

RISK ASSESSMENT OF ACCIDENTS IN THE CONCEPTION PHASE OF ENGINEERING PROJECTS

ÁREA: ICIEOM2020 / 09. Work and Human Factors
AUTORES: FABIO ESPERANCA;NELIO DOMINGUES `PIZZOLATO;JOSE CRISTIANO PEREIRA

10.14488/ijcieom2020_abst_0009_37172

conception design phase, basic project engineering, preliminary labor accident risk analysis

This paper addresses the need to mitigate project engineering inadequacies that can lead to severe labor accidents. This topic is quite important because some serious accidents have occurred in the execution phase of a project engineering, caused by project inadequacies. Lives have been lost due to project engineering inadequacies, and this paper intends to alert of the criticality of this issue, which is only addressed when a major accident occurs. The aim of this paper is to illustrate the difficulties that many project managers and engineers generally have to adapt the project engineering to the existing safety work norms in the final execution phase when the initial phase of the project engineering is not well performed by giving practical examples that have occurred in the industry. As a methodological approach, a project management checklist (PMC), was created as a key element of this methodology to be customized to each engineering project together with the probability and impact matrix, to categorize the level of each risk as high, extremely high or medium. The study included a broad research of the literature on the theme as well as two field studies, one with project management and labor safety engineering professionals and another with various companies to know what they thought about this topic and the measures they are taking to eliminate serious accidents in their businesses. The study demonstrates a practical method that was created to easily identify serious accident risks in the conception phase of projects and basic engineering. This paper provides responses to an important research question: Do companies in general identify potential serious labor accident risks in the conception of projects and basic engineering? As a result, the method revealed that 60% of the companies researched, only worry about the potential serious accident risks in the execution phase of the projects, probably due to the high costs of experienced manpower in the initial phase when the risks are somehow hidden since the project hasn?t started yet. The study presents a practical methodology to identify risks in the conception phase of projects and basic engineering, to eliminate serious accidents and can be a valuable tool for decision makers. As a final recommendation, the use of this practical methodology should be considered mandatory by the Project Engineering Management Organization and the Engineering and Architecture Councils and part of all the construction inspections made by the public and private engineering companies in Brazil and in other countries.

ICIEOM2020_FULL_0001_37448

SERVITIZATION JOURNEY: A PRELIMINARY ANALYSIS OF A TYPICAL MANUFACTURING COMPANY

ÁREA: ICIEOM2020 / 01. Operations and Process Management
AUTORES: LUCAS MAGAHÃES;PAULO AUGUSTO CAUCHICK MIGUEL;GLAUCO HENRIQUE DE SOUSA MENDES

10.14488/ijcieom2020_full_0001_37448

servitization, product-service systems, organizational process, business model

Servitization of manufacturing has been a phenomenon that frequently occurs from the past two decades or so. Giving the complexity and extension of changes caused by servitization to transform manufacturing organizations to compete through services is a challenge for researchers and practitioners. Concerning the research boundaries, the understanding of how the servitization process happens is one of the relevant topics for exploration. In this context, this work investigates the transition process that has occurred in a typical B2C manufacturing firm towards servitization. Multiple sources of evidence were considered to analyze data by triangulation using case research resulting in a preliminary servitization process map. The results show internal and external contextual factors associated with the design of the servitization business model. The transformation occurred by a paradigm shift in the company that re-configured its business model and established an independent business unit to operate a new product-service offering. Future work should analyze the evolvement of product-service offerings concerning design and field operation

ICIEOM2020_ABST_0010_37452

SIGNALING SUSTAINABILITY: SUPPLY CHAIN TRANSPARENCY IN BRAZILIAN FASHION BRANDS

ÁREA: ICIEOM2020 / 10. Sustainability
AUTORES: ADRIANA PIGEARD MURATORE;LEONARDO MARQUES

10.14488/ijcieom2020_abst_0010_37452

transparency, sustainability, corporate social responsibility, fashion, developing countries, signaling, supply chain.

The fashion industry has been heavily criticized for often exhibiting poor working conditions of workers and environmental impact along their supply chains. Society?s desire for more responsible consumption and the pressure for more information has led to initiatives such as the Fashion Transparency Index, which is a survey made by the non-governmental organization Fashion Revolution to assess fashion brands? level of transparency, based on an evaluation of the information publicly disclosed by those brands. This study?s objective is to gain insights understanding how their nomination for the Brazilian chapter of this survey might affect the way these brands disclose information, signaling sustainability through transparency in their corporate communication. Their sustainability practices were classified under the concepts of transparency developed in the works of Fung and Egels-Zandén and colleagues. These practices were then interpreted under the light of signaling theory. Our study shows heterogeneity in sustainability and transparency practices, and asymmetry between the level of transparency that buying firms demand from their suppliers and what they provide about themselves.

ICIEOM2020_ABST_0013_37455

SMALL- AND MEDIUM-SIZED ENTERPRISES FACING COMPLEX EVENT RESILIENCE: A SURVEY APPROACH

ÁREA: ICIEOM2020 / 13. Disaster Management
AUTORES: JENNIFER F. HELGESON;ALFREDO ROA HENRIQUEZ

10.14488/ijcieom2020_abst_0013_37455

business resilience, complex event

As COVID-19 conditions persist, the chances are high that populations around the US and the world will experience heat waves, floods, hurricanes, fire, and drought during the period of virus transmission and into the period of recovery (e.g., Phillips et al., 2020). Small- and medium-sized enterprises (SMEs) in areas vulnerable to natural hazards and disasters are particularly noteworthy in the context of COVID-19. The complex events that arise from the intersection of continuing pandemic conditions with existing stressors (e.g., financial constraints) and acute shocks (e.g., natural disasters) present difficult decision landscapes to SME owners and managers. This paper presents initial results from a survey recently deployed documenting SME responses to and recovery from COVID-19 in an environment defined by concurrent risks, including climate and weather events. This project documents: 1. the novel resilience-based mitigation actions employed during the COVID-19 pandemic by SMEs by sector, 2. challenges in implementing resilience-based mitigation actions, 3. utilization of past strategies and approaches to provide assistance to the current situation, and 4. planned resilience actions and strategies. Additionally, differences across SME type by sector and ownership are explored. In doing so this presentation highlights the importance of social science in understanding complex, cascading and compound events, and pathways toward improved planning. It also highlights the use of different adaptation/coping strategies that SMEs have implemented to minimize or avoid business interruption.

ICIEOM2020_FULL_0005_37456

SMART METER IMPLEMENTATION: A REVIEW ON ACCEPTATION RESEARCH

ÁREA: ICIEOM2020 / 05. Product Development
AUTORES: JONATHAN GUMZ;DÉBORA ROSA NASCIMENTO;DIEGO FETTERMANN

10.14488/ijcieom2020_full_0005_37456

smart meter, acceptance, prisma systematic literature review

The global electricity grid needs an update due to several factors, such as demand growth, use of renewable energy sources, reduction of environmental impact, and the need of reduction of non-technical losses of electricity. Updating the power grid involves the concept of smart grids, in which there is a bidirectional flow of real-time information on how much energy is produced, consumed, and stored. Smart meters play a fundamental role in the implementation of these smart grids. This article aims to aims to identify some essential issues regarding the residential consumers? acceptance of smart meters.. In this work, a systematic review of the literature is performed using the PRISMA protocol. The results show that interest in the topic has been increasing in recent years. In addition, applied research is carried out mainly in Europe, North America, and Asia, with some occurrences in Oceania and just one in Africa. None occurrence of applied studies in Brazil and throughout Latin America was found. The need to understand the smart meteracceptance in South America is highlighted, and the results of the present study may be used as a starting point.

ICIEOM2020_FULL_0004_37318

SOLVING A UNIVERSITY EXAM LOCATION PROBLEM: AN APPLICATION IN BRAZIL

ÁREA: ICIEOM2020 / 04. Data Science and Stochastic Optimization
AUTORES: THIAGO EDMAR DE OLIVEIRA;RAFAEL MARTINELLI PINTO

10.14488/ijcieom2020_full_0004_37318

exam location, binary programming, facility location, application

This work presents a study on a University Exam Location problem that solves a real case scenario from the admission exam of a university in Brazil. The objective is to assign candidates to exam locations happening the same day and time. Given that the candidates must take the exam every year during secondary school, different types of exams must be offered. Each location can only offer one type of exam to reduce the complexity of the logistics. The objective is to decide which locations to open and the candidates? allocation to locations, minimizing the overall distance and opening costs. We propose a methodology that uses a binary programming formulation based on the Single Source Capacitated Facility Location Problem to solve the real case. Computational experiments using real information obtained solutions that reduce the travel distances in about 10%, for cases with more than 3,000 candidates and seven exam locations. For candidates who live close to the exam locations, this reduction can reach up to 24%.

ICIEOM2020_FULL_0002_37426

STRATEGY FOR SOLID WASTE COLLECTION OPTIMIZED WITH MATHEMATICAL MODELLING

ÁREA: ICIEOM2020 / 02. Logistics and Supply Chain Management
AUTORES: JONATÁN EDWARD ROJAS POLO;ANDREA CABALLERO CASTITLLO;ALEXIA CÁCERES CANSAYA;DIANA ROJAS POLO;KAREN ROJAS POLO

10.14488/ijcieom2020_full_0002_37426

solid waste collection, route modelling, vehicle routing problem time windows, public services, clustering

With the environmental problem gradually aggravating, the correct management of solid waste collection has become relevant within the tasks of the government entities that provide this public service in Peru. However, there are still no improvements given that approximately 30% of garbage is not collected from the streets and more than 50% is not transferred to a landfill. One of the reasons is that the volume of solid waste generated in Peru has increased in the last decade by approximately 38%; nevertheless, another obvious cause is that around 75% of these do not yet have route plans for garbage collection. In a first stage, a clustering model was made based on the composition of the garbage and the volume generated. Then, routing plans were generated for the collection of solid waste using a mathematical optimization model that minimizes the use of resources. For the development of the model, a variant of the Vehicle Routing Problem (VRP) with time windows (VRPTW) was applied, which had as inputs the garbage collection points, which makes up each housing in the sector, and the location of the landfills as final destinations. It is important to consider that the model will be carried out for a particular sector, which is the watering place in the department of La Libertad; however, it is possible to apply to another sector.

ICIEOM2020_FULL_0002_37481

SUPPLIER SELECTION MODEL BASED ON TOTAL COST OF OWNERSHIP

ÁREA: ICIEOM2020 / 02. Logistics and Supply Chain Management
AUTORES: ADRIANO PEREIRA DA SILVA;FRANCISCO GAUDÊNCIO MENDONÇA FREIRES

10.14488/ijcieom2020_full_0002_37481

total cost of ownership, supplier selection, strategic purchasing.

This paper proposes a model to offer, from a strategic viewpoint, the application of selection of suppliers based on the Total Cost of Ownership (TCO), aimed at a group of energy generation (Global Participações em Energia), whose equipment directed at the study make up the Organic Rankine Cycle. The methodology integrates the incorporation of all costs involved, in order to identify the necessary steps for analysis of the selection of suppliers. So, it explores an innovative approach, which provides support for investment decisions and management of the organization. Consequently, it allows guiding the options of industrial arrangements, making it possible to implement diagnostic solutions for a set of assets, maintaining a systemic perspective and conducted through the life cycle of the equipment. After that, this paper understood that the correct selection of suppliers, according to the aspects of strategic purchasing and Supply Chain Management, might affect the primary objectives of reducing costs, risk mitigation and receiving better services.

ICIEOM2020_FULL_0002_37445

SUPPLY CHAIN 4.0 RESULTS: A SYSTEMATIC LITERATURE REVIEW

ÁREA: ICIEOM2020 / 02. Logistics and Supply Chain Management
AUTORES: MIKE MILITELLO;LUCIANA CAMPERLINGO;WILLIAM CAVALCANTI BORTOLETO

10.14488/ijcieom2020_full_0002_37445

supply chain 4.0, digitization, results

This study is a systematic review of the literature on the results of supply chain 4.0, considering the recent process of Digital Transformation suffered by companies. In addition, the study aims to identify the main tools used by companies and the results obtained by them in the various sectors of Industry. Therefore, this research aims to fill the knowledge gap of the results of Supply Chain 4.0 and develop a framework that synthesizes the subject. The systematic review of the literature was structured in three phases. In the first phase, or planning phase, the keywords were established, while in the second phase, sorting, extraction, synthesis and data analysis of the results obtained were carried out. Finally, the third phase presents the content analysis in a structured way. As a first result, 31 concepts divided into 5 categories were identified by the content analysis. This categories are: ?Digital Technologies?, ?HR Management 4.0?, ?Lean and Agile Management?, ?Strategic and Environmental Management? and ?Supply Chain 4.0 Results?. As a second result, a framework was generated from these concepts and categories, indicating the relationship between them and how a company can implement supply chain 4.0.

ICIEOM2020_ABST_0013_37454

SUPPLY CHAIN RESILIENCE PLANNING & THE THEORY OF PLANNED BEHAVIOR: A THEORETICAL FRAMEWORK

ÁREA: ICIEOM2020 / 13. Disaster Management
AUTORES: JENNIFER F. HELGESON;ALFREDO ROA HENRIQUEZ

10.14488/ijcieom2020_abst_0013_37454

disaster preparedness, learning, recovery, resilience planning, supply chain resilience

In much of the resilience planning discourse, especially related to supply chains, the difference between intended and actualized behaviors towards mitigation and adaptation is not recognized nor studied?on both the individual firm and sectoral levels. The nature of natural disasters is such that there is typically not a pre-event snapshot of a given agent?s behavioral intentions around mitigation and adaptation that in turn inform their resilience capacity towards a given disaster event that is comparable to data on interruption and recovery post-event. The Theory of Planned Behavior (TPB) (Ajzen, 1991) offers additional considerations that mediate across intended versus actualized behaviors. The TPB can be directly applied in the domain of business resilience planning ? where a category of mitigation and adaptation behaviors are considered. A theoretical model for application of the TPB to resilience planning over multiple time period is introduced that discusses the importance of attitude, subjective norms, and perceived behavioral control in the prediction of intention for resilience planning, and the relative importance of intention and perceived behavioral control in the prediction of behavior. The importance of this paper is that it is contextualized within a supply chain framework, which accounts for the need to plan ahead as well as recognition of recovery trajectories after the occurrence of a disaster.

ICIEOM2020_FULL_0010_37277

SUSTAINABLE DEVELOPMENT GOALS IN HIGHER EDUCATION

ÁREA: ICIEOM2020 / 10. Sustainability
AUTORES: CAROLINA GRANO;VANDERLI CORREIA PRIETO

10.14488/ijcieom2020_full_0010_37277

sustainability, higher education institutions, sustainable strategic planning, sustainable development goals, universities, sustainability assessment

The idea of sustainable development is based on the balance of social, economic and environmental aspects of the development, in order to make the world more egalitarian, healthy and fair. These issues originated the 2030 Agenda for Sustainable Development, signed by United Nations member states and focused on 17 goals. Through teaching, research and community services, higher education institutions play a central role in helping local and national governments and communities to achieve those goals. This paper presents a literature review to verify how the relation between higher education and the sustainable development goals has been established and to find out if there are any gaps in the research undertaken so far. Results confirm the relevance of the subject and identify future research opportunities in this field, also considering all learning that will be generated by the new global agenda. The analyzed papers highlight the importance of sustainability reporting and assessment for the institutions and show the need of integrating sustainability goals in the institutions? strategies. It is also shown that there is a lack of researches demonstrating how the institutions have been considering the sustainability goals in their strategic plans.

ICIEOM2020_FULL_0006_37237

THE FORMATION OF THE FOOTWEAR CLUSTER IN THE CARIRI REGION (CEARÁ, BRAZIL) AND THE COMPETITIVE ADVANTAGES.

ÁREA: ICIEOM2020 / 06. Strategy and Organizational Engineering
AUTORES: HORTÊNCIA AIRES DA SILVA;FREDERICO ROMEL MAIA TAVARES;AMANDA DUARTE FEITOSA;BRUNA STEPHANY COELHO DE SOUZA;JOÃO BATISTA MENDES BARBOSA

10.14488/ijcieom2020_full_0006_37237

clusters, competitiveness, footwear.

The competitiveness generated in recent years because of globalized markets and breaking of trade barriers, has led several industries to adopt strategies to seek the consolidation of their businesses. One of the ways found by some companies, was to act together to obtain competitive advantages and achieve goals in the same line of business. Thus, the present work aims to show the economic importance of the footwear cluster in the Cariri Region (Ceará, Brazil), describing the relationships between industrial clusters, and how this contributed to the formation of competitiveness and development. This study is configured as a descriptive case study, where a questionnaire was used to assess the characteristics and relationships that the local cluster has in relation to market competitiveness. In the results, there is the importance that the footwear cluster has for the Cariri Region, promoting it has local economic development, generating income and contributing to the national economy.

ICIEOM2020_ABST_0010_37292

THE IMPACT OF COMMUNICATION ACTIONS ON THE PRO-ENVIRONMENTAL BEHAVIOR OF UNDERGRADUATES AT A COLLEGE EDUCATION INSTITUTION

ÁREA: ICIEOM2020 / 10. Sustainability
AUTORES: IGOR BOSA;BARBARA GAUZA RIBAS;CASSIANA MARIS LIMA CRUZ;ANDRÉ DA SILVA PEREIRA;JANINE FLEITH DE MEDEIROS

10.14488/ijcieom2020_abst_0010_37292

sustainability, pro-environmental behavior, communication, college education institution, undergraduate

Recycling has several positive impacts on the environment and it is still being considered one of the most effective waste disposal method. However, the recycling process depends on the correct material separation, which has a low level of participation of the entire population. Because of that, a wide range of communication strategies are used to encourage a pro-environmental behavior. Therefore, this study shows an evaluation of the impact of communication actions embraced by a College Education Institution (CEI) on the environmental behavior of its students, seeking to evaluate, through structural equation modeling (SEM), the effectiveness of different communication actions aimed to a correct waste separation. The results indicate that communication targeted to changing perspectives in relation to environmental points has a greater impact on students behavior, as well as the positive perception of people in relation to sustainable issues tends to positively affect their behavior.

ICIEOM2020_FULL_0006_37222

THE IMPACTS OF THE FOURTH INDUSTRIAL REVOLUTION IN PEOPLE AND ORGANIZATION ENVIRONMENT.

ÁREA: ICIEOM2020 / 06. Strategy and Organizational Engineering
AUTORES: JOSÉ MAURÍCIO MOTTIN DE ANDRADE;EDUARDO DE FREITAS ROCHA LOURES;ANDERSON LUIS SZEJKA

10.14488/ijcieom2020_full_0006_37222

the fourth industrial revolution, industry 4.0, people management, organizational change, data preparation, framework.

One of the biggest challenges of the 21st century for organizations is to follow the changes brought by new technologies and their trends, impacts and interrelationships, which occur at an exponential speed hindering the perception, understanding and requiring a permanent updating of the people involved in this process of transformation. Thus, people tend to maintain their current state of security, for fear of the new and unknown for which they do not yet have full dominion; seeing technological innovations as a threat to their beliefs, habits, knowledge and social position, which can slow down, limit or distort the process of evolution and growth associated with change. In this scenario there is motivation to address the "Fourth Industrial Revolution" from a perspective that allows exploring and simultaneously analyzing the system formed by the dimensions Information - People - Organizations, presenting in this work under the acronym - IPO. The information obtained daily from the data generated, collected, analyzed and processed, so that they become useful and relevant to people, should consider their personalities, exclusive and complex, which are confronted with the constant process of organizational change. The proposal of this work is to evaluate the human role in organizations as central entities in decision-making processes, very linked to greater informational densification and the knowledge required by the "Fourth Industrial Revolution" called "Industry 4.0". It is intended to present a new perspective that enable it to help people understand better and prepare for the future that new digital technologies offer to organizations.

ICIEOM2020_FULL_0006_37243

THE IMPORTANCE OF SHALE FOR THE AMERICAN ECONOMY: IS THE NET EXPORTER PROFILE HERE TO STAY?

ÁREA: ICIEOM2020 / 06. Strategy and Organizational Engineering
AUTORES: RENAN PIMENTA DO AMARAL;JULIANA MAGATON MELLO;ROSEMARIE BRÖKER BONE

10.14488/ijcieom2020_full_0006_37243

united states, shale oil and gas, price, cost, energy protagonism

The shale is an important resource in face of the decreasing world oil supply. The American Oil Shale boom has given the country some autonomy by minimizing oil imports. However, 2018 seems to have been the year of end of this revolution, with the bankruptcy of twenty-eight Exploration and Production (E&P) compa-nies. Therefore, the objective of this article is to identify to what extent the pro-duction of shale oil and natural gas is promising for the American economy. Af-ter reviewing the emergence of shale exploration in the United States and the main companies in the industry, we compare the shale production costs and the price of oil to analyze the perspective for shale in the US. It was found that there is concern about production efficiency and cost reduction by companies, but shale oil production is economically viable only when the production cost is lower than the value of the conventional oil barrel. However, the shale gas perspective is ex-tremely favorable to the United States, as in its worst-case scenario it still remains an exporter of the commodity. The development of technology to exploit gas in large quantities and at low cost was crucial. The response to the question: is the American exporting profile for oil and natural gas here to stay? The response is yes only to natural gas, given the characteristics of exploration and the fragility in relation to international oil prices.

ICIEOM2020_FULL_0002_37406

THE ROLE OF INFORMATION TECHNOLOGY IN PERFORMANCE MEASUREMENT SYSTEMS: CASE STUDY IN A SYNTHETIC RUBBER FACTORY

ÁREA: ICIEOM2020 / 02. Logistics and Supply Chain Management
AUTORES: FERNANDA TERCERO;LUIZ FELIPE SCAVARDA;MATHEUS ALLGAIER

10.14488/ijcieom2020_full_0002_37406

performance indicators, supply chain, logistics

Monitoring the performance and controlling the evolution of suppliers ensure a better balance between the service contracted and effectively provided by the carriers, which sets up a quality logistics management profile based on the control of supplier indicators for the generation of periodic performance evaluations. The literature reinforces the role of information technology (IT) for the success of a performance measurement system (PMS). However, even though a sophisticated IT solution offers a quick collection, analysis, and dissemination of data, it can result in additional costs for the organizations during implementation and usage stages. This paper´s goal is to analyze the role of IT in PMS, towards verifying if sophisticated IT is necessary in consolidating the PMS or if it is possible to create a successful PMS with few IT resources. The research presents a case study of a Latin American subsidiary of a multinational in the chemical sector, which implemented a successful PMS for its logistic and supply chain department. Research findings indicate that even with no use of costly and sophisticated IT, the subsidiary has achieved excellence and global recognition within the multinational organization. Research findings indicate that it is feasible to improve planning and monitoring in the supply chain, without using costly and advanced IT. Managers can take benefit of the case offered herein with insights and means of seeking to improve logistics management in a less costly manner and obtaining competitive advantage for companies.

ICIEOM2020_FULL_0013_37394

THE USE OF SOCIAL NETWORKS IN THE MONITORING OF INFECTIOUS DISEASES: A SYSTEMATIC REVIEW

ÁREA: ICIEOM2020 / 13. Disaster Management
AUTORES: ANTONIO ANDREI PINHO BRAGA;MARIA ANGÉLICA GOMES DA SILVA;ADRIANA LEIRAS;DANIEL RICARDO ECKHARDT DA SILVA;ANTONIO MARCIO TAVARES THOMÉ

10.14488/ijcieom2020_full_0013_37394

social media, epidemics, pandemics, systematic literature review

In 2020 the world came across COVID-19, classified as a global pandemic, and this repercussion of the illness generated a high flow of information in social media. Based on a systematic literature review, this work sought to discuss how social media can help the data analysis of pandemics and epidemics and to study how we can use this information in its response phase. After screening for papers that fit the scope of this work, eight papers remained. We concluded that the social media data is useful to analysis, monitoring and identification of epidemics. Furthermore, along with the official data, social media may help decision-makers to better respond to a pandemic or epidemic.

ICIEOM2020_FULL_0002_37437

TOWARD THE DEVELOPMENT OF SALES AND OPERATIONS PLANNING (S&OP) CAPABILITIES: META-CHARACTERISTICS OF A TAXONOMY

ÁREA: ICIEOM2020 / 02. Logistics and Supply Chain Management
AUTORES: FRÉDÉRIC NIKO PATRICE NICOLAS;ANTONIO MARCIO TAVARES THOMÉ;BERND HELLINGRATH

10.14488/ijcieom2020_full_0002_37437

sales and operations planning, resource-based view, dynamic capabilities, ambidexterity, taxonomy

Sales and operations planning (S&OP) is a crucial process that can benefit organizations in achieving a competitive advantage. Previous studies have shown that a successful implementation of S&OP requires more than just capital investment into technology. This research draws on established theories to propose meta-characteristics for a classification of S&OP. The utilized methodology follows the taxonomy development process by Nickerson et al. (2013) and represents the first step towards a complete taxonomy. This study rigorously works through the literature of the resource-based view, dynamic capabilities view, and ambidexterity to lay the foundations for a theoretically found taxonomy. The consideration of dynamic capabilities in the context of S&OP opens the opportunity for further research on S&OP agility. As this study only represents the first out of seven development steps, the research's explanatory power remains to be validated. The study is the first of its kind to attempt to join S&OP with the founded theories, namely the resource-based view and the dynamic capabilities view, and to propose a classification for the attributes of S&OP that support firms in facing their competitive advantage.

ICIEOM2020_FULL_0004_37436

TRACKING MANEUVER TARGET USING 3D POSITION FORECAST MODEL WITH ESTIMATED SPEED BY LEAST SQUARES METHOD

ÁREA: ICIEOM2020 / 04. Data Science and Stochastic Optimization
AUTORES: JAIR AGNER JUNIOR;BRUNO SCHULZE;ANTÔNIO ROBERTO MURY;MARIZA FERRO;MARCOS DOS SANTOS

10.14488/ijcieom2020_full_0004_37436

tracking targets, mathematical models, kalman filter

Tracking targets is a complex process, which requires association algorithms capable of handling the use of linear and nonlinear filtering techniques. It is known that the two-dimensional models of air traffic control systems are insufficient for the treatment of three-dimensional maneuvers of military targets, due to considerable variations in altitude. The work was based on flight dynamics models, which describe the evolution of the state of a target, treated as a punctual object in three-dimensional trajectories, addressing the problem of its movement uncertainty. The adopted model has application in civil and military navigation and surveillance systems, allowing the tracking of targets in real time. The Kalman Filter (KF) and the Extended Kalman Filter (EKF) were adopted as state estimators with integration through the filter of hybrid systems Interacting Multiple Models (IMM). The innovation of the work is in obtaining the scalar velocities of each Cartesian axis to be part of the vector of z_k, observations, through the Method of Least Squares, resulting in greater precision than in previous works. Numerical examples illustrate the applicability and performance of the proposed method.

ICIEOM2020_FULL_0005_37190

USING GOOGLE DESIGN SPRINT METHOD TO VALIDATE A STARTUP PRODUCT VISION FOR INDUSTRY 4.0

ÁREA: ICIEOM2020 / 05. Product Development
AUTORES: WAGNER DE BARROS NETO;JÚLIO CESAR VALANDRO SOARES

10.14488/ijcieom2020_full_0005_37190

design sprint, industry 4.0, startup

The growing competitiveness in the marketing sphere inevitably accentuates the demand for more efficient methods in the process of validating and developing new products and businesses. To support teams in testing and prototyping ideas and solutions in an agile way, Design Sprint was created at Google. The method helps to define critical product and business challenges, to think about different solutions and to arrive at a validated prototype in less than five days. This study presents the application of Design Sprint to support a startup company with a solution for Industry 4.0, helping its entrepreneurs to validate their product and business hypotheses. The study shows the impact and the learning that the method is capable of bringing in a relatively short period, from user interviews and prototype tests. Although it was not possible to reach the optimal result validating completely the product vision, this work shows the power and performance that Design Sprint has in helping quickly test an idea, without significant investments in terms of time and money, in order to support innovative processes and the development of products with better marketing appeals.

ICIEOM2020_ABST_0012_37444

USING SIMILARITY SEARCH TO COVID-19 ON NORTHWEST BRAZILIAN

ÁREA: ICIEOM2020 / 12. Heathcare Operations Management
AUTORES: CIRO FIGUEIREDO;KALIENE DIAS

10.14488/ijcieom2020_abst_0012_37444

similar search, covid-10, spatial analysis.

The novel coronavirus (Covid-19) revealed several impacts on the world. In Brazil several problems emerged related the health and economic scenario. Understanding the problem thought big data analysis is a alternative to propose actions for future. We explored similarity search (spatial analysis) between 1794 municipalities in northeastern Brazil. Salvador city was chose as parameter feature. We compare different daily cases (April 01, May 27, and 30 June) to check the similarity. For obtain the results, we select appropriate spatial system. The results strong association in large municipalities, revealing a similar cluster close between adjacent municipalities analyzed. On the future, the result may help decision makers to planning public health policies.

ICIEOM2020_FULL_0002_37223

VEHICLE ROUTING PROBLEM CONSIDERING CARGO THEFT PROBABILITY APPLIED IN A REAL CONTEXT IN THE STATE OF RIO DE JANEIRO: SOLVED USING THE AIMS SOFTWARE

ÁREA: ICIEOM2020 / 02. Logistics and Supply Chain Management
AUTORES: RODRIGO RANGEL RIBEIRO BEZERRA;JANAINA FIGUEIRA MARCHESI;ANDRÉ CRISTIANO SILVA MELO;DENILSON RICARDO DE LUCENA NUNES;LEONARDO BRENO PESSOA DA SILVA

10.14488/ijcieom2020_full_0002_37223

logistics, vehicle routing problem, cargo theft, mixed integer linear programming, aimms.

The Vehicle Routing Problem (VRP) is a classic well-known combinatorial problem. This paper introduces a factor in the VRP mathematical optimization model considering restrictions that address probability of cargo theft in the regions visited, beyond the traditional constraints such as the number of vehicles, time windows, the capacity of the vehicle and the vehicle's cycle time. The paper proposes a mixed integer linear model that minimizes total transportation costs and cargo theft costs. The model is tested in a real-life case study, a company that distributes pharmaceutical products in Rio de Janeiro. The route solutions with and without cargo theft risk are compared. The model is solved using the AIMMS software.