ICIEOM2022_ABST_0026_37520

A DECISION SUPPORT METHODOLOGY BASED ON AHP TO ASSESS STATE LEVEL RESPONSE TO COVID-19 IN BRAZIL

ÁREA: ICIEOM2022 / 12. Heathcare Operations Management
AUTORES: JONATHAS SAMPAIO DOS SANTOS;NATHALIA JUCA MONTEIRO;RENATA MELO E SILVA DE OLIVEIRA

10.14488/ijcieom2022_abst_0026_37520

performance assessment, composite indicators, analytic hierarchy process, public health, covid-19.

The COVID-19 pandemic is considered one of the major sanitary challenges faced by humanity. Due to its high transmissibility, the virus spread quickly through the Brazilian territory. The purpose of this work is to quantify the capacity of response from the Brazilian states in a public health crisis such as the COVID-19 pandemic. This study reports de elaboration of a composite indicator based on the Analytic Hierarchy Process (AHP) methodology. An illustrative application was conducted as a pilot test to validate the assessment framework proposed. The states analyzed were São Paulo, Bahia, and Pará. The specification of this composite indicator can support also benchmarking exercises and the development of action plans to enhance responsivity of the states facing the pandemic.

ICIEOM2022_FULL_0026_37588

A GOAL PROGRAMMING MODEL TO SUPPORT DECISIONS IN THE ACQUISITION OF VACCINES AGAINST COVID-19 AT THE MUNICIPALITY LEVEL

ÁREA: ICIEOM2022 / 12. Heathcare Operations Management
AUTORES: JOAQUIM LIMA DAS NEVES NETO;LEONARDO CARDOSO GALVÃO;POLLYANA DE NAZARE CORDEIRO DOS REIS;RENATA MELO E SILVA DE OLIVEIRA

10.14488/ijcieom2022_full_0026_37588

goal programming, unified health system, immunization plan, covid-19

The objective of this study is to present a goal programming formulation to support the emergency acquisition of vaccines. The model specified applies to the context of decision-making at the municipality level. The criteria selected include pandemic public management decision-making problems such as budget limitations, setting goals for the immunization of priority population groups, and recommendations of the World HealthOrganization (WHO). The guidelines of the Brazilian Unified Health System (UHS, in Portuguese, Sistema Único de Saúde - SUS) are also sought. The scenarios specified using the GP model are applicable to municipalities in need to acquire optimized supply amounts to execute the heterologous immunization program in the year 2022, given the budget limitations. An application of the methodology was conducted using data from the city of Belem, the capital of Para State. Managerial implications and foreseen research opportunities are discussed at the end of this paper.

ICIEOM2022_FULL_0030_37593

A MULTI-CRITERIA DECISION MAKING APPROACH TO FINDING RELATIVE WEIGHT OF ONLINE & OFFLINE CHANNELS OF RETAILING

ÁREA: ICIEOM2022 / 15. Other Contribution to IE & OM Research and Practices
AUTORES: JAGAN JACOB

10.14488/ijcieom2022_full_0030_37593

analytic hierarchy process, multi-criteria decision making, channel competition

In this article, we demonstrate how to use multi-decision making tools such as fuzzy analytic hierarchy process and Thurstone?s model of comparative judgement to find the relative valuation of online and offline channels of retailing. We list various factors customers consider while choosing between the two alternatives: shopping online vs. traditional brick and mortar stores. Using the responses collected from a random sample of college students, we quantify the relative valuation of online and offline channels of retailing for that customer segment.

ICIEOM2022_ABST_0023_37608

A NOVEL METRICS FOR THE QUANTIFICATION OF THE AGENT?S AFFORDANCE: A PRELIMINARY STUDY

ÁREA: ICIEOM2022 / 09. Work and Human Factors
AUTORES: ANDREA LUCCHESE;SALVATORE DIGIESI;GIOVANNI MUMMOLO

10.14488/ijcieom2022_abst_0023_37608

index of difficulty; affordance; agent; motor task; quantitative metrics;

In multiple research fields (ergonomics, product design, robotics), many studies aim to express the different types of agent-environment interactions through the concept of affordance. Nevertheless, a standardized metrics able to quantify the affordance is still absent, or limited to specific applications, lacking in generalization. In the present article authors propose a novel metrics able to quantify the agent-environment interaction in a continuous scale (affordance level), through an information-based measure. To quantify the agent-environment interaction, the motor difficulty of the observed agent (IDobs) is compared to the motor difficulty of a reference agent (IDref) whose movements allow to successfully execute the motor task. The proposed metrics expresses the ability of an observed agent in accomplishing a motor task (agent-environment interaction) by capturing its stochastic behaviour. The quantitative metrics for the affordance has great potentials in different fields of application since it can be applied to any motor task. Results of simulations performed show the effectiveness of the metrics, paving the way to a range of new applications and promising research directions.

ICIEOM2022_ABST_0020_37572

AN OUTLOOK ON THE USAGE OF BIM BY BRAZILIAN PUBLIC UNIVERSITIES IN CONSTRUCTION PROJECTS

ÁREA: ICIEOM2022 / 06. Strategy and Organizational Engineering
AUTORES: WAGNER VILAS BOAS DE SOUZA;EDUARDO GOMES SALGADO;GIUSEPPE MICELI JUNIOR;DALTON GARCIA BORGES DE SOUZA;CARLOS EDUARDO SANCHES DA SILVA

10.14488/ijcieom2022_abst_0020_37572

bim; construction; project management; public administration; survey

Building Information Modelling (BIM) is a paradigm that combines technology with human resources and industrial processes. It improves the management of construction projects, allowing efficient life-cycle building management. This work presents an outlook on adopting BIM processes by Brazilian public universities. To this, we surveyed all Brazilian public universities with an 80% answer rate. Results suggest that despite most universities not using or being mature in using the BIM process on their construction projects, this scenario could change with the employment of the academic expertise already possessed by most universities.

ICIEOM2022_FULL_0016_37555

ANALYSIS OF A SUPPLY CHAIN IN THE LIGHT OF THE LCP MODEL: A CASE OF THE SHRIMP SECTOR

ÁREA: ICIEOM2022 / 02. Logistics and Supply Chain Management
AUTORES: JAILSON DOS SANTOS SILVA;ELIZABETE RIBEIRO SANCHES DA SILVA;MARIA SILENE ALEXANDRE LEITE;EMELLY ANNE SILVA DE LIMA;EVELINY DIAS DE MEDEIROS

10.14488/ijcieom2022_full_0016_37555

supply chain, lcp model, shrimp farming.

Managing the factors that influence the operation of a supply chain is a fundamental part of an organization's strategy. As a consequence, the model of Lambert, Cooper, and Pagh stands out by establishing the purpose of supply chain management to manage the relationships between member companies to obtain a competitive advantage. In this context, this article?s main objective is to analyze the supply chain of an organization specialized in shrimp farming, using the referred model, by evaluating its structure, business processes, and management components. For the synthesis and analysis of the results, the SWOT Analysis was used to list all the strengths, weaknesses, opportunities, and threats of the organization from the critical analysis of its internal and external environments. Therefore, it was possible to identify the strengths and vulnerabilities of the shrimp farming process in ponds. With the definition of these factors, it is expected to carry out better planning for the management of the chain under study, providing a competitive differential for the studied company.

ICIEOM2022_ABST_0026_37576

ANALYSIS OF COVID-19 SEVERITY PROGNOSIS USING HOSPITAL DATA

ÁREA: ICIEOM2022 / 12. Heathcare Operations Management
AUTORES: FILIPE LOYOLA LOPES;ADRIANO SIMÕES GASPAR;ANA CAROLINA LORENA

10.14488/ijcieom2022_abst_0026_37576

machine learning, health data, covid-19, health data science, classification

This research assembles a dataset of COVID-19 positive patients suitable for the application of Machine Learning (ML) techniques, allowing to obtain prognosis models that distinguish severe from non-severe patients by taking as input hematological exams performed upon hospital attendance. Six ML techniques were applied to analyze data from 4,320 COVID-19 positive patients, 394 of which evolved to a severe health state, requiring intensive care. The Random Forest classifier showed the best predictive performance among the used algorithms and settings, with an AUC score up to 0.94 ± 0.02. In addition, ten clinical variables revealed to be more correlated to the prognosis by a mutual information score, although some of them had a high fraction of missing values.

ICIEOM2022_FULL_0024_37544

ANALYSIS OF FOOD WASTE MANAGEMENT IN BRAZILIAN PUBLIC UNIVERSITIES RESTAURANTS

ÁREA: ICIEOM2022 / 10. Sustainability
AUTORES: LETÍCIA DE OLIVEIRA GAGO RAMOS DE SOUZA;MARCELO JASMIM MEIRIÑO;OSVALDO LUIZ GONÇALVES QUELHAS

10.14488/ijcieom2022_full_0024_37544

sustainable management. circular economy. universities.

The generation of food waste grows as the demand for food increases, being linked to the entire food production chain. The incorrect disposal of waste generates liabilities for the whole society. This shows that initiatives to ensure proper management and treatment of waste must be developed. The present research, of exploratory and descriptive character, proposes a systematic analysis through a bibliographic research and case studies, to identify the treatment carried out to food residues in the Restaurants of Brazilian public universities. The methodological strategy included the use of questionnaires to federal public universities in the southeastern region of the country. The objective of the research is to analyze the management and treatment of these wastes or the lack of them. The theme is incipient and important for sustainability. The work proved to be relevant and innovative as it develops a systematic analysis of food waste management in a university restaurant that can be replicated to other public and private institutions.

ICIEOM2022_FULL_0015_37560

APPLICATION OF LEAN OFFICE: OPPORTUNITIES AND TRENDS

ÁREA: ICIEOM2022 / 01. Operations and Process Management
AUTORES: MARCO AURÉLIO DOS SANTOS DINIZ;FERNANDO CELSO DE CAMPOS

10.14488/ijcieom2022_full_0015_37560

lean office, difficulties, systematic literature review, administrative process, lean management.

The Lean philosophy proposes to eliminate waste, removing processes that do not add value to the production flow. This philosophy, which originated in the automobile sector, has embodied other sectors and it has been applied in the administration of the business, in addition to the manufacturing environment. The Lean Office emerged as a result of the companies' quest to become increasingly leaner, which is based on the application of Lean Manufacturing principles and tools in the administrative activities of organizations. This paper aims to analyze the literature on Lean Office (LO) seeking new opportunities and trends for simplifying and accelerating its implementation. For this, a systematic literature review (SLR) was carried out over a period of 10 years (July/2010 to July/2021) identifying the main most cited authors, most relevant journals, and the main research topics, as well as trends of its implementation. A sample of 28 articles was selected based on the criteria adopted by SLR, obtaining 15 main elements identified for developmenting and maintaining of the LO, and it was possible to understand better the current status of its implementation. This study presents an academic contribution about LO from the point of view of elements within to the process and its trends. For professionals, it presents LO factors that add positive results to organizational learning processes, and the possible impact on society of helping the company managers to direct better their efforts. The conclusion is that there is a great opportunity to apply LO in organizations, and there is still a lot of work to be done in order to develop a robust body of knowledge in lean of the administrative processes.

ICIEOM2022_FULL_0016_37543

BEYOND THE CONCEPT OF LEAN CONSTRUCTION: A PRESCRIPTIVE RATIONALIZING MODEL FOR PIPE SYSTEMS MANUFACTURING IN A PETRO-CHEMICAL PLANT.

ÁREA: ICIEOM2022 / 02. Logistics and Supply Chain Management
AUTORES: CARLOS CANFIELD;RAYMUNDO RIOS

10.14488/ijcieom2022_full_0016_37543

supply chain management, lean industrial construction, mexican petro-chemical plants. integrated software

The economic importance of the Construction Industry (CI) is overshadowed not only by several difficulties but by the lack of innovation in this sector. Notwithstanding that construction and manufactures are part of Industrial Activity; CI does not share the systemic progress of the latter. This research confirms the possibility in CI to increase its efficiency. The main purpose is to develop an operational system that facilitates the rational management of the industrial construction (IC) value chain. The lead researcher designed a software-interface link that allows the transformation of a traditional constructive process into a rational and systematic industrial one. As a result all areas involved in the construction chain are harmoniously integrated; the whole decision-making process is facilitated by determining what is to be designed, purchased, procured and manufactured and its usefulness for previous and subsequent activities. Both project management and construction benefit from operational costs and inventory reduction as well as opportunity-cost mitigation. The software facilitates project simulation by ordering the isometric drawings of a piping system in an industrial project; timely information allows for more rational decisions about design, purchases, manufacturing, procurement and forecasting overall efficiency in the project. The construction value chain benefits from the application of Supply Chain Management (SCM) and Lean Construction techniques (LC), based on information management and automation. The investigation uses the method of Action Research (AR) for conducting both a professional and a subsequent academic project in the field. The availability of the computer program allowed the relevant simulations in the professional and academic projects. An integral IC process is modelled and simulated, as applied to a real-life pipe installation in a Mexican Petro-chemical plant. CI requires new operational practices so that constructors can rationalize costs, improve quality and reduce delivery times by means of processes control. The proposed construction model can be used to achieve these goals. The study evidences the pertinence and potential benefits of introducing SCM and LC techniques in core areas of IC.

ICIEOM2022_FULL_0015_37566

BRAZILIAN AIR FORCE OPERATIONS IN RESPONSE TO MIGRATORY FLOWS: THE CASE OF WELCOME OPERATION

ÁREA: ICIEOM2022 / 01. Operations and Process Management
AUTORES: MAYARA SOARES DA SILVA;LUIZA RIBEIRO ALVES CUNHA;ADRIANA LEIRAS;LUIZ FELIPE SCAVARDA;RODRIGO ANTÔNIO SILVEIRA DOS SANTOS

10.14488/ijcieom2022_full_0015_37566

brazilian air force, humanitarian operations, process modelling

This study analyses the Brazilian Air Force (BAF) performance in a migratory crisis operation based on a disaster response process model. Based on a case study, we compare the performance of the BAF during ?Operação Acolhida? (Welcome Operation), the Brazilian response to the Venezuelan migratory flow crisis, with a reference process model. The research focused on one stakeholder's role (the BAF) during two years of the studied humanitarian operation, which is still in progress and involves other main actors. This study contributes to the academic literature by validating and suggesting improvements to the disaster response process model proposed by Fontainha et al. [1]. In addition, the paper addresses one military stakeholder's role in a migratory movement operation which aims to fill literature gaps about migratory movements to Brazil and the armed forces? efforts in humanitarian operations.

ICIEOM2022_FULL_0024_37613

CONCEPT, BENEFITS AND SUCCESS FACTORS OF PRODUCT-ORIENTED PRODUCT-SERVICE SYSTEM: A RESEARCH AGENDA

ÁREA: ICIEOM2022 / 10. Sustainability
AUTORES: CAMILA KOLLING;JANINE FLEITH DE MEDEIROS;JOSÉ LUIS DUARTE RIBEIRO;FABIO IVAN SEIBEL;NICOLE CECCHELE LAGO

10.14488/ijcieom2022_full_0024_37613

product-service system (pss), productization, servitization.

This study aims to understand the concept of product-oriented product-service system (PSS), identify its benefits and the success factors that assist in its successful implementation. To achieve these objectives, we conducted a systematic literature review, through which 93 empirical articles were analysed. The results show that different names are used to refer to product-oriented PSS and the range of services that can be offered in this PSS category. As for the benefits, we identified the outcomes for the environment, the society, the PSS provider and the consumers. Regarding the success factors, we identified different practices that must be considered when developing the offers, which are related to human resource management, market strategies, product and service development and investment in technology. In the end, based on the covered topics and the identified gaps, we proposed a research agenda for this subject.

ICIEOM2022_ABST_0017_37562

CONTINUOUS IMPROVEMENT USING STATISTICAL PROCESS CONTROL IN THE MEXICAN AUTOMOTIVE MOTOR REMANUFACTURING INDUSTRY: A CASE STUDY

ÁREA: ICIEOM2022 / 03. Quality Management
AUTORES: HUGO ALEXER PÉREZ VICENTE;ERICK GUILLERMO TORRES BERMÚDEZ;MARIANA RUIZ MORALES

10.14488/ijcieom2022_abst_0017_37562

quality improving, statistical process control, pdca cycle, remanufacturing, mexican automotive industry

Although there have been many breakthroughs in the quality management field, Statistical Process Control (SPC) is still a widely used tool among manufacturing companies worldwide, following the same principles dictated by Shewhart in 1924. This research encompasses the successful case of the capability enhancement of a critical machining operation in an automotive plant located in Mexico dedicated to the remanufacturing of truck engines, resulting from examining the x? and R control charts and directed by the Plan-Do-Check-Act cycle (PDCA). The results obtained derived from a comparative analysis of data of two different time periods in the process of machining bushing diameters, where a process capacity increase of 13.08-5 in the Process Capability Index (Cpk) and of 17.2% in the Process Performance Index (Ppk) were obtained. The decrease in expected out of specification parts improved by 72.7%. Process variability also was improved given the 8.33% reduction in the mean range. The research contribution is the empirical identification of gaps and opportunities in the areas of quality assurance and quality control using qualitative and quantitative methodologies.

ICIEOM2022_FULL_0027_37578

DISASTER RESPONSE OPERATIONS OF BRAZILIAN NAVY ? A LONGITUDINAL CASE AND A PROCESS PERSPECTIVE

ÁREA: ICIEOM2022 / 13. Disaster Management
AUTORES: RAPHAEL CORREIA LOPES;NARLEY WORLLOS DO CARMO NETTO;THARCISIO COTTA FONTAINHA;ADRIANA LEIRAS

10.14488/ijcieom2022_full_0027_37578

business process management, operations management, humanitarian logistics

The engagement of militaries in disaster response worldwide is fundamental, which is also true in the 2011 landslides response in Rio de Janeiro ? one of the most significant in recent Brazilian history. Since then, the Brazilian Navy (BN) has experienced improvements in terms of regulations (e.g., written doctrine) and practice (e.g., disaster response simulations). Therefore, this study aims to analyse the longitudinal improvement of the BN from the disaster response in 2011 to the disaster response simulation in 2017 also related to the landslides in Rio de Janeiro. The case study considers a process model for disaster response as a reference for the analysis, as well as interviews and operational reports. Results bring evidence about the nonlinearity of the BN improvement in terms of practice and normative/regulations and also points for academic literature improvement. Future research includes a further comparison of other recent disaster response operations in the same location.

ICIEOM2022_FULL_0015_37534

DISTRIBUTED TEAM MANAGEMENT: A STUDY OF IMPACTS AND INDICATORS THAT HELP IN BETTER PERFORMANCE MANAGEMENT

ÁREA: ICIEOM2022 / 01. Operations and Process Management
AUTORES: MAIARA CRISTINA FELICETI;EDSON PINHEIRO DE LIMA;SÉRGIO EDUARDO GOUVÊA DA COSTA

10.14488/ijcieom2022_full_0015_37534

distributed teams; performance management; software devlopment.

Technological evolution has made it possible for software companies to adopt the work model of distributed teams. With this in perspective, the trend of physically dispersed workgroups requires a new investigation into the role of team management in virtual environments. Performance evaluation has become a fundamental tool in team management, especially in the competi-tive and dynamic environment in which organizations are inserted. To this end, the use of indicators aims to measure performance that help teams to align with their organization's strategy. In this sense, the objective of this work is to provide an empirical study of the existing impacts on the perfor-mance management of distributed teams. The study also sought to formalize the performance indicators based on the Agile Model, selecting the best met-rics that effectively help in software development productivity management. A Systematic Literature Review was carried out, using the intervention in-strument Proknow-C (Knowledge Development Process - Constructivist), in addition to applying an interview with a specialist in the field of software development and also team managers to validate the performance measure-ment data sheets. Based on the research, we seek to identify indicators that contribute positively to the performance of these teams.

ICIEOM2022_FULL_0016_37601

ENVIRONMENTAL RISKS IN SUPPLY CHAIN: A MULTIPLE CASE STUDY

ÁREA: ICIEOM2022 / 02. Logistics and Supply Chain Management
AUTORES: FABIOLA NEGREIROS DE OLIVEIRA;ADRIANA LEIRAS;PAULA CERYNO

10.14488/ijcieom2022_full_0016_37601

environmental risk, supply chain management, multiple case.

Companies currently face other risk factors in addition to traditional economic risks. Environmental issues in supply chains have been seen as a topic of contemporary concern to scholars and practitioners. Chemical spills, inefficient water and energy consumption, and greenhouse gas emissions are examples of environmental risks companies must deal with. This paper aims to compare the literature findings on environmental risks, consequences, and strategies with business reality through multiple case studies. We identify which environmental risks, consequences, and strategies gathered from the literature are considered in companies supply chains. This study is an initial step toward endorsing environmental risk factors in supply chain risk management. We offer academics an empirical approach to better elucidate the environmental vulnerabilities and consequences that companies need to be aware of.

ICIEOM2022_FULL_0016_37547

EVALUATION OF THE IMPACT OF THE USE OF BICYCLES, IN PLACE OF THE MOTORCYCLES, ON THE REDUCTION OF CARBON DIOXIDE (CO2) EMISSIONS, ON LAST MILE OPERATIONS IN BRAZILIAN POSTAL SERVICE.

ÁREA: ICIEOM2022 / 02. Logistics and Supply Chain Management
AUTORES: FRANK SCHNEIDER CARVALHO DE MOURA;MARIA JOSÉ PEREIRA DANTAS

10.14488/ijcieom2022_full_0016_37547

last mile, cyclologistics, sustainability

The concern about the increase in vehicle traffic in large cities, largely driven by the activities of distribution of objects from e-commerce, has generated a constant and growing concern in public administrations and society, due to the problems of circulation of vehicles powered by fossil fuels in urban roads, increasing atmospheric emissions and worsening people's quality of life. Through a comparative analysis, simulating the migration of motorcycles to bicycles in the operations of delivery of messages and small orders in the Brazilian Post Office Company (Correios) of the Federal District, the present study aims to estimate the potential reduction of emission of gases resulting from logistics activities due to the change of modal, from motorcycles to bicycles, using a pollutant conversion formula and a sample of the circulating fleet of the Correios to define the emission of toxic gases emitted by this operation. The results demonstrate the logistics segment as a relevant pollutant emission agent and the importance of converting the fleet to more sustainable solutions.

ICIEOM2022_FULL_0015_37525

EXPLORING THE LINKAGES BETWEEN LEAN LAYOUT PLANNING AND PERFORMANCE IMPROVEMENT

ÁREA: ICIEOM2022 / 01. Operations and Process Management
AUTORES: THAIS CARREIRA PFUTZENREUTER;EDSON PINHEIRO DE LIMA;SÉRGIO EDUARDO GOUVÊA DA COSTA;FERNANDO DESCHAMPS

10.14488/ijcieom2022_full_0015_37525

lean manufacturing, lean layout, productivity, performance measurement, operations strategy.

Within a competitive environment, productivity improvements represent a remarkable demand for operations strategy. In this context, lean layout planning plays a meaningful role to work environment, enabling cost savings with the elimination of unnecessary transportation and waiting avoidance, reinforcing productivity gains. This paper presents a case study of an automotive segment project of engine assembly layout improvement. The project consisted of introducing new equipment for building a straight line for crankshaft assembly, process that previously demanded that the engine was manually lifted to a second line for this crankshaft assembly task. Therefore, research design introduces a performance measurement approach to measure cycle time impacts on the workstation that was affected the most by the new work design. Results revealed cycle time enhanced an expressive performance improvement, specially on the third month after straight-line implementation. After boxplot analysis, a one-way variance analysis performed with Tukey test exposed performance average gains over the project months, except the transition between the third to the fourth month, when this improvement was no longer considered statistically significant. The main contribution is focused on reinforcing the linkage between lean manufacturing layout and performance improvements through a quantitative analysis of a real automotive case study, connecting theoretical principles to practice.

ICIEOM2022_ABST_0021_37629

GOVERNMENT, COMPANIES AND UNIVERSITIES STRENGTHENING CORRELATED TO KIBS TO ENHANCE MEXICO?S EXPORTS THROUGH NEARSHORING AS A COMPETITIVE ADVANTAGE

ÁREA: ICIEOM2022 / 07. Knowledge and Information Management
AUTORES: SAMARA HERRERA MUÑOZ

10.14488/ijcieom2022_abst_0021_37629

kibs, innovation, r&d, exports, nearshoring

At the beginning of the 90s, the digital transformation was presented, as a result to important changes in innovations and technological advances that transformed the way of consuming goods and services. This transformation has marked the knowledge economy, through servification. This term is used to indicate that companies achieve leadership positions in the market thanks to specific knowledge, which generates competitive advantages as considered international markets. The objective of this study is to explain through the deductive method, the problematic situation that exists in Mexico related to exports of knowledge-intensive services (KIBS), due to the lack of linkage between government, companies and universities. For this purpose, the research subjects will be presented as the IJALTI Guadalajara Cluster, government institutions and higher educational systems. A theoretical proposal is presented through the descriptive study of three variables to promote the strengthening of the three agents: the increase in investment in ICT R&D, formulation of competent legal frameworks for suitable regulations and evaluation methods; and proper management of intellectual capital. The theoretical results show that for developing economies, such as Mexico, it is necessary the stimuli of public investment to increase private investment. With this scenario, as a result of balance and independence in investment will also lead to expand the R&D area, and a chain reaction in the export of intelectual forces. An additional gain, will be preventing and avoiding the flee of these forces to other countries and enhance nearshoring as an advantage to the proximity with great neighboring powers, and will help carry out regulatory and evaluative processes between the related parties

ICIEOM2022_ABST_0016_37637

GREY MARKOV MODEL GM (1, 1) APPLIED IN FORECASTING DEMAND IN THE SUPPLY

ÁREA: ICIEOM2022 / 02. Logistics and Supply Chain Management
AUTORES: FRANCISCO TREJO

10.14488/ijcieom2022_abst_0016_37637

forecasting, grey systems, grey markov, supply chain.

Abstract As the information that people could obtain is most of the times limited and fell under the category of uncertainty circumstances, a variety of uncertainty system theories, such as fuzzy sets (FS), rough sets (RS) and grey system theory (GST), emerged conforming to the requirements of the new era. The GST is considered as a multi-disciplinary theory that deals with systems that lack information. GST is a novel system theory which mainly focuses on analysing and modelling problems with limited data or poor information (Xie, 2017). This is one of the characteristics that prevail in the supply chain. Not all the information nor its reliability is always possible. All these models have solved plenty of practical application problems, such as economic forecasting, management decision making, scientific evaluation, energy management, industrial process control, water resource analysis, risk management and agricultural breeding research (Lin, et al., 2004). Surprisingly, none of these models have been applied in the supply chain area. A Grey system is a system containing grey inputs and grey or regular outputs. Grey information could be further explained as limited valuable sequence data, grey number information and grey system structures. A grey model based on limited data is a new type of forecasting model for solving prediction problems based on limited valuable sequence data. In traditional statistical forecasting models, data must meet the requirement of scale, i.e. large scale of data should be collected. This condition could not always be satisfied. This is not always possible when you plan to forecast the demand in supply chain. As a result of this investigation, I have found that this model can obtain better prediction results, especially for data of small sample sizes (<20 records). The paper presents a methodology for incorporating limited or incomplete data into a modified GM (1,1) model applied in the supply chain area. The results obtained exceed other models and methodologies such as: linear regression, moving averages, exponential smoothing and are applied where ARIMA is not possible, since the stationary condition in GST is not required for data samples below 20 records. The model also identifies the algorithm to identify when the GM (1,1) is applicable: (i) limited amount of data (<20 records), (ii) stationary is not present, (iii), no seasonal or cyclical demand is found, and (iv) forecast projections are required for periods >n+1. The evaluation methodology was implemented by using Minitab and R. Metrics for calculating the forecasting error and evaluating its performance are: (i) forecast error, (ii) mean absolute error (MAE), (iii) mean square of error (MSE) and (iv) mean absolute percentage error (MAPE) (Vagale, et al., 2021). The results by using the GM (1,1) are better than the results of the linear regression and moving averages, 1.6% vs 5.7% respectively. The results show that the prediction ability of the grey prediction with GM (1,1) model is better than traditional approach.

ICIEOM2022_FULL_0030_37574

HIGHER EDUCATION RANKINGS: BRAZILIAN FEDERAL UNIVERSITIES

ÁREA: ICIEOM2022 / 15. Other Contribution to IE & OM Research and Practices
AUTORES: CARLOS EDUARDO SANCHES DA SILVA;WAGNER VILAS BOAS DE SOUZA;EDUARDO GOMES SALGADO;STEPHANIE SILVA;FABIANA LOPES RAMOS DE OLIVEIRA

10.14488/ijcieom2022_full_0030_37574

university ranking, higher education, federal universities

The rankings of higher education institutions are consolidating themselves as one of the means of measuring a university's credibility worldwide. This growing visibility makes it essential to research how the 69 Brazilian federal universities participate in the main Rankings of Higher Education. A literature review identified the main rankings, their home institution, their objectives, the dimensions evaluated, and the number of federal universities participating in each ranking. The rankings that have the most significant number of participating federal universities are the "Web and SIR," with respectively 61 (88%) and 57 (83%) federal universities, and the one with the lowest participation in the "UI Green Metric" with 16 (23%). Each federal university, considering its competencies, must select which ranking it should participate in and use it for the development and implementation of strategic internationalization actions. The university can develop mobility, research, and strategic agreements.

ICIEOM2022_ABST_0020_37622

IMPLEMENTATION OF A RISK MANAGEMENT MODEL IN TEAMS OF ENGINEERING STUDENTS

ÁREA: ICIEOM2022 / 06. Strategy and Organizational Engineering
AUTORES: KÍVIA MOTA NASCIMENTO;BRUNA CARVALHO SILVA;VINÍCIUS DE CASTRO SEGHETO

10.14488/ijcieom2022_abst_0020_37622

risk management, risk management maturity level, student projects

Risk management has become a complex but increasingly necessary activity within organizations. In this context, as in organizations, student projects deal with several variables that may interfere with the achievement of objectives. Due to this factor, risk management is indispensable to ensure that delays and planning failures are avoided. In this sense, the main objective of the present work is to implement a risk management model for student competition teams. The research was based on a literature review of the subject, seeking information and discussions on the theory of risk management. Data were collected with the help of a questionnaire to assess the risk management maturity of the team where the studies of this paper were conducted. Further, the data was analyzed, improvements were proposed, and the methodology was applied to the team. Finally, the results were analyzed, and it was possible to achieve the goal of forming more effective risk management through this work.

ICIEOM2022_FULL_0017_37515

IMPLEMENTATION OF NONCONFORMITY AND REWORK CONTROL IN THE CONSTRUCTION EXECUTION PROCESS ? A CASE STUDY

ÁREA: ICIEOM2022 / 03. Quality Management
AUTORES: JOSE CRISTIANO PEREIRA PEREIRA;BRUNA DA SILVA LIMA BAPTISTA

10.14488/ijcieom2022_full_0017_37515

non-conformities, rework, construction industry, quality.

There is a significant culture of rework during the execution of the work in the civil construction. Given this scenario, construction companies that seek to be a differential in the market, providing a high standard of quality in their services and products, feel the need to standardize their processes and avoid waste by implementing a robust Quality Management System. The standardization is achieved by identifying factors that contribute to the incidence of rework in all stages of the construction process. The registration and analysis of nonconformities in processes and products are crucial. When nonconformities are not treated adequately, and processes are not standardized, waste and high-quality costs are generated. A construction company of high-standard residences in Brazil needs to analyze the impact of implementing the control of nonconformities and rework, since quality costs is high. This paper aims to demonstrate how implementing a robust nonconformity treatment method can reduce rework in this medium-sized construction company. As a methodological approach, a literature search was conducted to identify how companies deal with costs of quality through NC control and rework measurement. A case study was conducted in that construction company. As a result, data from the company shows the importance of effective control of nonconformities in reducing rework. The implementation of non-compliance control evidenced significant improvements and cost/waste reduction. This study is vital for engineers, professionals, and companies working in the civil construction area...

ICIEOM2022_ABST_0015_37633

INCORPORATION OF LIFE CYCLE ANALYSIS INDICATORS IN THE DESIGN OF A DYNAMIC SUPPLY CHAIN NETWORK.

ÁREA: ICIEOM2022 / 01. Operations and Process Management
AUTORES: PABLO FLORES SIGUENZA

10.14488/ijcieom2022_abst_0015_37633

impact generated in the whole network. the model constraints are based on capacities and material flow balance throughout the sc. to verify the validity of the model, gams software is used and a case study of a mexican company dedicated to the production and distribution of antibacterial gel is executed. as part of the results, it is shown that the largest ei categories are climate change, fossil depletion and terrestrial ecotoxicity, and it is proven that the raw material extraction stage represents on average 99% of the total impact generated in the sc of the antibacterial gel product. comparisons are made between the classical models that consider only costs versus the developed model that considers ei indicators of an lca, showing that the average percentage of profit reduction is between 11% and 15%, how much of this percentage is willing to sacrifice is a particular decision of each company. finally, it is shown that the model developed is a quantitative tool for decision making, since it allows simulating different scenarios and analyzing their costs and environmental impact. companies interested in sustainable sc should focus their efforts on seeking environmentally friendly raw materials, researching the application of new technology and new production methods.

The supply chain (SC), composed of entities such as suppliers, plants, distribution centers and customers, carries out the manufacturing and sales processes of a product in its entirety. Its management encompasses a detailed link-by-link relationship management that seeks to determine the best configuration of all its elements with the objective of minimizing total costs while meeting service levels. Therefore, SC network design is an area of decision making that considers parameters such as planning, costs, demand, and supply. A well-structured SC is an important strategic competency that enables companies to be competitive in today's marketplace. Increasing globalization and decreasing profit margins have generated a recent research trend to consider non-cost metrics in network design. Many researchers now focus on designing SCs that can operate effectively in the presence of external and/or internal disruptions. On the other hand, today, environmental protection is increasingly critical, due to factors such as the growing scarcity of natural resources, consumer demands, increased awareness of environmental issues, global laws and agreements that force companies to reconsider and often restructure their SC operations with a focus on sustainability. Considering sustainable development factors in the design of the SC network increases its complexity, however, it is a necessary challenge as it is a business opportunity rather than a constraint. To achieve a sustainable SC network, methods and tools are needed to measure the environmental impact of a product, one of them is the Life Cycle Analysis (LCA), which is an environmental management tool whose purpose is to analyze in an objective, methodical, systematic, and scientific way, the environmental impact (EI) originated by a process/product during its complete life cycle. To deal with all these variables and challenges, mathematical programming models are a powerful tool for designing sustainable SC networks in which a balance between several conflicting objectives is sought. The research question answered by this study is about the feasibility of introducing environmental impact indicators, obtained from an LCA, in the design of a dynamic SC network, the main objective being to develop a sustainable SC model that will serve as a decision support for companies. The methodology is based on a 3-stage framework, consisting of Input Data, LCA, and Mathematical Model. The input data refers to information and characteristics of the raw material, energy and waste flows present in the production process, SC characteristic data, logistics, production, and demand. The LCA is developed on the antibacterial gel product and follows the methodology of the ISO 14044 Standard, which consists of 4 steps: definition of the objective and scope, life cycle inventory analysis, life cycle impact assessment and interpretation. Subsequently, Gabi software is used to model the SC and the Recipe 2016 method is used to quantify the characterization factors at midpoint and endpoint level, which reflect the damage in three areas of protection: human health, ecosystem quality and resource scarcity. The last stage, the mathematical model is designed for a four-layer multilevel network and is based on multi-objective mixed integer linear programming. Where the first objective function refers to utility maximization. While the second objective function minimizes the environmental impact generated in the whole network. The model constraints are based on capacities and material flow balance throughout the SC. To verify the validity of the model, Gams software is used and a case study of a Mexican company dedicated to the production and distribution of antibacterial gel is executed. As part of the results, it is shown that the largest EI categories are climate change, fossil depletion and terrestrial ecotoxicity, and it is proven that the r

ICIEOM2022_FULL_0015_37567

INDUSTRY 4.0: A REAL-TIME CYBERPHYSICAL SYSTEM TO EXECUTE THE JUST-IN-TIME PHILOSOPHY IN LEAN CONSTRUCTION

ÁREA: ICIEOM2022 / 01. Operations and Process Management
AUTORES: RAYMUNDO RIOS

10.14488/ijcieom2022_full_0015_37567

industry 4.0, artificial intelligence, cyber-physical system, lean construction, just in time

Abstract Information Technologies (IT) have the same societal impact as the incorporation of machines in the Classic Industrial Revolution of the 19th Century. Now IT replaces humans in tasks which involve rapid calculations and processing of massive data and information. Expert systems based on diverse rules and operations have been developed to assist humans in decision-making processes. Despite the progress made in the last decades, some areas still seem very complicated to adopt new science technologies such as the Construction Industry. For nearly 40 years there has been an important lack of studies and innovation regarding construction processes and its productivity. Poor planning, low coordination of elements, multiple changes, high fragmentation of activities and manual collection of information cause high levels of uncertainty, inefficiency and waste in this sector. Although Lean Thinking (LT) has incorporated its philosophy in construction to improve productivity and reduce waste, no significant or effective results have been achieved to mitigate these problems. Artificial intelligence (AI) technologies have been designed to impulse and leverage human capacities by using new arrays of data and information for complex problem-solving and decision-making process. The implementation of new environments such as Cyberphysical Systems (CPS) make Industry 4.0 a significant contributor for the transformation of construction industry. Powered by a software-interface link designed by the researcher which transforms a traditional constructive process into a rational and systematic industrial one, the CPS framework presented herein is an expert system which creates bi-directional coordination between cyber models and the physical construction of a project. This tool can create different scenarios of prediction based on actual operational level inputs which can altered in a short-term basis. This is an integrated real-time AI model for industrial construction projects that can supervise simultaneously process of key activities such as design, chain-supply and construction by collecting and extracting its data suiting the Just-in-Time and Lean-Thinking operations.

ICIEOM2022_ABST_0016_37625

KNOWLEDGE MANAGEMENT AND INFORMATION TECHNOLOGIES: A CONCEPTUAL MODEL FOR SUPPLY CHAIN INTEGRATION

ÁREA: ICIEOM2022 / 02. Logistics and Supply Chain Management
AUTORES: JESÚS SIGIFREDO GASTÉLUM VALDEZ;IRMA CRISTINA ESPITIA MORENO

10.14488/ijcieom2022_abst_0016_37625

supply chain integration, firm resources, knowledge management, information technologies

The purpose of this article is to build a supply chain integration conceptual model using the knowledge management and information technologies as a resource of a firm and how these attributes influence the supply chain integration. A structured literature review was used to identify the relationship of information technologies and knowledge management and supply chain integration. With the literature review a conceptual model was developed, in the model supply chain integration is influenced by creation, transference and execution of knowledge and IT ease of use, IT compatibility and IT utility and the effects are moderated by organizational, logistics and information integration. The model developed can become a guideline for firms with weak supply chain integration and want to increase their relationship with customers and suppliers.

ICIEOM2022_FULL_0020_37536

LOCATION OF AN INTERNET PROVIDER IN THE LAGOS REGION USING THE COPPE-COSENZA METHOD

ÁREA: ICIEOM2022 / 06. Strategy and Organizational Engineering
AUTORES: RUAN CARLOS ALVES PEREIRA;MARCOS DOS SANTOS

10.14488/ijcieom2022_full_0020_37536

fuzzy logic, industrial location, optimization and coppe-cosenza.

This present study aims to assist the decision making about which city in the lakes region, in the state of Rio de Janeiro, would be the most suitable city for in-stalling a new internet provider. As the main method for conducting this study, the hierarchical location model COPPE-COSENZA will be used. Prior to the ap-plication of the model, its functioning will be exposed and analyzes will be car-ried out on the behavior of the model in relation to the number and types of varia-bles. In this application, to indicate the location for the installation of a reliable and stable internet network, it will be analyzed in addition to the socioeconomic aspects of the region's need, factors that will support the entrepreneur so that he can structure the network and contribute in a positive way so that it can expand in a safety way without affecting users. In this context, in order to translate less tan-gible aspects of reality more closely, the COPPE-COSENZA hierarchical analy-sis model, which has its concepts based on fuzzy logic, will play an important role in the interpretation of fuzzy data and in the defuzzification of these data, showing as result a ranking of favorability for installation of the enterprise, com-pared to the chosen cities.

ICIEOM2022_FULL_0020_37522

MULTICRITERIA MODEL FOR RANKING RENEWABLE ENERGY GENERATION PROJECTS

ÁREA: ICIEOM2022 / 06. Strategy and Organizational Engineering
AUTORES: LEVI FREITAS FERNANDES TÁVORA;DANIELLE COSTA MORAIS

10.14488/ijcieom2022_full_0020_37522

multiple criteria analysis, renewable energy, promethee, promethee-roc, multicriteria decision.

The goal in this study is bringing up a model to support the decision-making in the problematic of ranking renewable energy generation projects, solar and wind sources, as parts of a project portfolio. The method considers establishing criteria for ranking the projects, taking their main technical attributes into consideration. The projects evaluation along with the application of the multicriteria method based on Promethee-Roc, allowed to accomplish a better and rational selection of projects to be developed and eventually installed.

ICIEOM2022_FULL_0020_37589

OKRS AS A RESULTS-FOCUSED MANAGEMENT MODEL: A SYSTEMATIC LITERATURE REVIEW

ÁREA: ICIEOM2022 / 06. Strategy and Organizational Engineering
AUTORES: THOMAS ANDRES TROIAN;RODRIGO SOARES LELIS GORI;DANIEL PACHECO LACERDA;LEANDRO GAUSS;JACSON RAFAEL WEBER

10.14488/ijcieom2022_full_0020_37589

okrs, indicators, systematic literature review, performance measurement

The objective of this study is to present how and in which contexts the OKRs methodology can be used as a management tool and also as a tool for change at organizations in a scenario where market agility is a determining factor in several industries. Within this purpose, this study conducted a Systematic Literature Review (SLR) based on two databases and added to the results other studies arising from the snowball method. Three categories of studies within the OKRs theme are identified and described in this review: (i) Studies on application of the OKR methodology; (ii) Studies that are based on OKRs as a starting point for developing new performance tracking models based on it and (iii) theoretical discussions that aim to understand and explain OKRs. The results show a growing use of the methodology, and this study points out common gains from the application of the OKRs, such as increased transparency within the organizations, increased team performance, and increased engagement around the global goals of the companies. This study also presents summary tables of which results were found from which challenges and sectors of application of the methodology.

ICIEOM2022_FULL_0016_37619

OPTIMIZATION MODEL TO DESIGN THE CREW TRAINING PLAN IN AN AIRLINE

ÁREA: ICIEOM2022 / 02. Logistics and Supply Chain Management
AUTORES: RAFAEL TORRES ESCOBAR;PABLO ALFONSO LECHUGA VÁZQUEZ;ISIDRO SORIA ARGUELLO

10.14488/ijcieom2022_full_0016_37619

operations research, airline applications, optimization.

Populations, flows and manpower hours are considered in the manpower planning problem. The objective is to project the structure of the categories with actual conditions that satisfy the operational needs. In this application, the populations are crew categories, the flows are employee hiring and transfers between categories depending on the career path, and manpower hours are the aircraft hours related to the crew need required to operate the aircrafts. The application uses transfers as integer decision variables and continuous decision variables to describe the slack in the manpower hours. The classic approach for this kind of problem is a probabilistic model like the Markov chain but this application uses a deterministic model to evaluate scenarios that don?t depend on previous events giving the flexibility to create scenarios depending on different future possible environments. The use of the tool helped to reduce the evaluation time of a scenario from days to minutes and possible actions to reach the most efficient manpower hours.

ICIEOM2022_ABST_0016_37591

OPTIMIZING EMPTY CONTAINERS REPOSITIONING PROBLEM BY USING NFT TECHNOLOGY AND BLOCK CHAIN SMART CONTRACTS

ÁREA: ICIEOM2022 / 02. Logistics and Supply Chain Management
AUTORES: TAL BEN-ZEEV;AMIR ELALOUF;YUVAL COHEN

10.14488/ijcieom2022_abst_0016_37591

empty containers repositioning, nft, block chain, optimization, smart contract, transshipment

This article suggests a new way to deal with Empty Container Repositioning (ECR) problem which results from the maritime shipping imbalance, by building a model maritime network based on block chain technology where every container is registered under NFT ? (Non-Fungible Token), in order to encourage Collaboration between the shipping companies by increasing the trust between them. The model is built of transportation model and study how changes in factors among the network can motivate the shipping companies to use this technology.

ICIEOM2022_FULL_0015_37526

PERFORMANCE ANALYTICS ROLE IN OPERATIONS STRATEGY

ÁREA: ICIEOM2022 / 01. Operations and Process Management
AUTORES: THAIS CARREIRA PFUTZENREUTER;EDSON PINHEIRO DE LIMA;SÉRGIO EDUARDO GOUVÊA DA COSTA;FERNANDO DESCHAMPS

10.14488/ijcieom2022_full_0015_37526

performance analytics, operations strategy, performance measurement systems, diagnostic analytics, predictive analytics.

Within the data science and artificial intelligence fields of study, performance analytics have supported performance improvements in a variety of different settings, including medicine, manufacturing, law and even sport environments. The purpose of this paper is to investigate how diagnostic and predictive analytics have been used as a tool to enhance assertiveness on strategic decisions, providing competitive advantages in the wide field of operations management. This exploratory research analyzes the content of a bibliographic portfolio composition built by the application of a systematic literature review performed by PRISMA approach, which resulted in 48 articles. The results revealed an analysis of the methods and contributions have been achieved considered Slack performance dimensions of cost, speed, quality, flexibility, dependability and human resources. Findings consisted of a consistent summarized analysis of how diagnostic and predictive approaches have strengthened cost prediction projects, supply chain risk mitigation, quality detection improvements, predictive maintenance, after-sales service level and employee satisfaction and individual performance predictions in applications published in high quality papers, appreciated by the scientific community. The main contribution of this paper is the reinforcement of the role of performance analytics for operations strategy.

ICIEOM2022_FULL_0023_37514

PREVENTION OF HUMAN ERRORS IN THE VISUAL INSPECTION DURING OVERHAUL OF AEROENGINES ? A CASE STUDY

ÁREA: ICIEOM2022 / 09. Work and Human Factors
AUTORES: JOSE CRISTIANO PEREIRA;JULIANA CHAVES PRAXEDES DE SOUZA

10.14488/ijcieom2022_full_0023_37514

human factors, visual inspection, and aeroengine overhaul, quality

The statistics of accidents in air transport show that human errors are responsible for most of these accidents. As technology advances over the years, its complexity increases. These advances bring new frontiers of performance, efficiency, and sustainability. New risks are introduced in the production and use of these technologies, so visual inspection becomes a layer of protection against system failure. In aero-engine overhaul activities, identifying the points of inspection and the factors that impact the results is fundamental since an engine failure during a flight may cause a forced landing and, tragically, killing several people. This reality makes it essential to identify the inspection points, the impacting factors, and the most significant actions associated with each factor and prioritize them during aero-engine processes. The high number of inspection points brings complexity, which usually happens in most repair stations. This fact was observed within a large repair station located in South America. The visual inspection, carried out in the engine overhaul, is intended to detect nonconformance to the OEM Manuals. Based on the Maintenance Manuals, inspectors inspect hardware and make the best decision about the conformance. Inspectors are human beings who make mistakes, thus contributing to a system failure. This study aims to detail the inspection points in an engine overhaul process and show which factors impact the result of the visual inspection. It also presents the most significant actions associated with each factor to reduce the risk of operational failures caused by human errors during a visual inspection. As a methodological approach, the authors researched the state of the art literature to identify which factors impact the result of the visual inspection, and a case study was conducted in the repair station. As a result, a process map was prepared to show the points of inspections. The impacting factors were defined, and the most significant actions associated with each factor were obtained by a survey conducted with inspectors from the reair station. The results obtained with implementing the actions were reduced operational errors and costs of quality, increased service reliability, increased productivity, and increased customer satisfaction. The conclusion is that the study can help optimize visual inspection. As expected, the contribution is significant. It will augment the knowledge of safety and operational managers, engineers, and decision-makers concerning the improvement of quality and effectiveness of the visual inspection process.

ICIEOM2022_FULL_0024_37581

RECYCLING OF PLASTIC WASTE: CONTRIBUTIONS OF SUSTAINABLE INNOVATION AND THE CIRCULAR ECONOMY OF PLASTIC

ÁREA: ICIEOM2022 / 10. Sustainability
AUTORES: PAULA LAMPERTI FAGUNDES;NELLY OCANA

10.14488/ijcieom2022_full_0024_37581

sustainable innovation, plastics, plastic circular economy.

The scarcity of natural resources and the generation of plastic waste without proper disposal are problems that concern the world population and are related to the linear economy model. The generation of value from plastic waste is of paramount importance for industry and scientific research, after all, it can be used to reverse environmental degradation and thus achieve sustainability towards the circular economy. Given this problem, our study aims to identify in the literature, the management of plastic waste and how sustainable innovation and CE contribute to this goal. Based on a systematic review of the literature, a content analysis was conducted. The survey of the articles for research was done in the Scopus database, combining the following keywords: "sustainable innovation AND plastics" and "plastic circular economy AND sustainable innovation?. The results highlighted the applications of circular economy in plastic waste management and potential practices to increase circularity. The EC model for plastics is still recent, and the transition process is in its early stages, as is scientific research on the subject.

ICIEOM2022_FULL_0015_37573

RFID IN INDUSTRY 4.0: THE TECHNOLOGY'S ROLE IN SHOP FLOOR CONTROL OPERATIONALISATION

ÁREA: ICIEOM2022 / 01. Operations and Process Management
AUTORES: PAULO EDUARDO PISSARDINI;MELYSSA ALBINO DE OLIVEIRA;KAYKE HERNANDES ALVES;LUIZ GUSTAVO MAMEDE MONTE

10.14488/ijcieom2022_full_0015_37573

industry 4.0; rfid; manufacturing planning and control; shop floor control; systematic literature review

The advent of Information and Communication brought some advances in the field of Operations Management. The RFID, when used as Ordering Coordination System, provides benefits for Production Control. To identify these benefits, this work used a Systematic Literature Review. The results presented 27 benefits, classified into four areas that impact Shop Floor Control. The discussion gave some insights relating to the benefits of the maturity level of RFID adoption. It was possible to conclude that the most cited benefits are associated with the initial stage of informational flow presented in the framework.

ICIEOM2022_FULL_0015_37620

ROBOTIC PROCESS AUTOMATION TECHNOLOGIES EVALUATION FOR THE PROCUREMENT PROCESSES OF AN OFFSHORE INDUSTRY

ÁREA: ICIEOM2022 / 01. Operations and Process Management
AUTORES: KLOÊ CARDOSO SIQUEIRA;MOZART CAETANO HEYMANN;RODRIGO GOYANNES GUSMÃO CAIADO;JOSE EUGENIO LEAL;ANTONIO MARCIO TAVARES THOMÉ

10.14488/ijcieom2022_full_0015_37620

robotic process automation (rpa), industry 4.0, innovation diffusion theory

Robotic Process Automation (RPA) technology has been considered an im-portant digital transformation tool in operations and supply chains, due to its lightweight approach to automate and optimize repetitive tasks, and control end-to-end business processes. However, in the academic literature there are still few works referring to the RPA theme with the approach focused on the supply chain. Moreover, there are still few studies that combine technology acceptance models criteria with multicriteria methods to propose a robust methodology for technology selection in the Industry 4.0 (I4.0) era, and there is no research relat-ing RPA adoption through the lens of innovation diffusion theory (IDT). Thus, this paper aims to evaluate RPA platforms in the context of I4.0 and through the lenses of IDT. The research methodology involves an empirical assessment of RPA platforms to be selected for procurement processes of an offshore company, combining two group multicriteria approaches: Fuzzy Delphi and AHP-express. Results indicated that the Workfusion RPA platform was the best platform to be applied in the purchasing area of the company, which may be related to its good performance in structured data processing, assisted automation and RPA applica-tions developed for front-end users criteria. From a practical point of view, the work contributes with a new methodology for selecting RPA platforms for the procurement sector.

ICIEOM2022_FULL_0030_37607

SENSITIVITY ANALYSIS APPLIED TO A COLLABORATIVE INVENTORY MODEL

ÁREA: ICIEOM2022 / 15. Other Contribution to IE & OM Research and Practices
AUTORES: VERONICA OLVERA RODRIGUEZ;ESTHER SEGURA PEREZ

10.14488/ijcieom2022_full_0030_37607

sensitivity, inventories, collaborative models, gmroi

When inventory models are applied independently, they are far from reality because in a supply chain all the elements and process are connected, for which collaborative models have been proposed that represent real behavior between them. The proposal and development of collaborative models that relate the buyer and supplier aim to reduce the costs of the supply chain and increase the profitability of the participating companies. To apply collaborative models, it is necessary to develop the exchange of information and formulation of plans that allow to reduce costs and obtain benefits for all the parties involved. In this paper we take a collaborative inventory model, and a sensitivity analysis was carried out to identify possible scenarios in which we measured the impact on the cost of inventories generated from the increase or decrease the optimal quantity to order and produce. In addition to identifying the optimal quantities to order and produce, it is necessary to determine how profitable the investment in the inventory is, which can be calculated with the GMROI, this being an important indicator to check performance and identify areas where profit margins can be increased.

ICIEOM2022_FULL_0016_37556

SOCIAL SUPPLY CHAIN RISK MANAGEMENT: A CASE STUDY IN A COSMETIC COMPANY

ÁREA: ICIEOM2022 / 02. Logistics and Supply Chain Management
AUTORES: LUIZA RIBEIRO ALVES CUNHA;ADRIANA LEIRAS;PAULA CERYNO

10.14488/ijcieom2022_full_0016_37556

social risk, social supply chain risk management, case study

Supply chain risk management has become decisive to generate a competi-tive advantage. However, social supply chain risk management is still rarely explored. The present study is grounded on results from the academic litera-ture to conduct a case study in a cosmetic company to verify the relation-ship of the variables identified in the literature with the organizational real-ity. So, in this paper, we reveal the social risks and the main consequences of these risks tracked by the studied organization. The paper contributes to the academic studies with two new social risks, with validation of a social risk management framework presented in the academy, the description of the company's strategy to manage its risks, and with the probability of oc-currence of each consequence for the company, highlighting consequences with a high probability of occurrence.

ICIEOM2022_FULL_0023_37582

SOCIOTECHNICAL PERSPECTIVE OF DIGITAL SERVITIZATION: AN INVESTIGATION OF EMPLOYEES' COMPETENCIES

ÁREA: ICIEOM2022 / 09. Work and Human Factors
AUTORES: JÚLIA KICH CHAVES;VERÔNICA MAURER TABIM;EDSON PACHECO PALADINI

10.14488/ijcieom2022_full_0023_37582

digital servitization; sociotechnical systems

Digital servitization is a current theme that enables new ways of creating value with the adoption and progressive integration of digital technologies, having a tremendous impact on industries, society, and the economy. These technologies applied to servitization allow the collection and intensive use of real-time data from customers, products, and services to offer new solutions. However, companies' offer of digital servitization faces the challenge of managing a complex system in which the actors involved play new roles and develop new capabilities. This study aims to diagnose the main skills that employees must have to adapt to the context of digital servitization. We used several case studies to analyze nine leading digital services companies in the market. Based on this diagnosis, a framework was developed with the main competencies that we found. Organizations can use the framework to support making decisions about hiring employees by professionals in the field with interest in improvement and by academics who aim to expand research on this topic. The intention is not to criticize the current hiring method but to provide a method to complement the current selection process.

ICIEOM2022_ABST_0015_37524

STRATEGIC MANAGEMENT OF OUTSOURCED MAINTENANCE SERVICE: A CASE STUDY

ÁREA: ICIEOM2022 / 01. Operations and Process Management
AUTORES: LUCAS PITZER MOREIRA;JOSÉ CRISTIANO PEREIRA

10.14488/ijcieom2022_abst_0015_37524

outsourcing, maintenance, strategies, processes.

Maintenance is a relevant attribute for any company, and it needs to be faced strategically to ensure its effectiveness. This study aims to understand the relationship between a company that hires outsourced labor and those that perform such services. There is currently a lack of understanding about this relationship in the organizations. For this, a case study was carried out with two companies in the industrial sector located in Brazil. The study was based on operational maintenance planning, service administration, maintenance strategies, and cost and failure reduction. The main conclusion is that hiring maintenance services generates essential value for the company. By hiring an outsourced company, secondary services started to have less impact on the production processes of the final product. Furthermore, through maintenance strategies and processes, latent repair demands, when performed regularly, reduce costs and failures. The improvement meets stakeholders' expectations and contributes to sustainability optimization. The study is an invaluable source of information for professionals and companies planning to outsource maintenance activities.

ICIEOM2022_FULL_0030_37598

SUICIDE PREDICTION IN WORKERS USING NAIVE BAYES

ÁREA: ICIEOM2022 / 15. Other Contribution to IE & OM Research and Practices
AUTORES: DANIEL ALEJANDRO BARAJAS ARANDA;MARÍA DOLORES TORRES SOTO;AURORA TORRES SOTO

10.14488/ijcieom2022_full_0030_37598

suicide, typical testors, prediction

The suicidal tendency is a noticeably big problem in Aguascalientes, Mexico, especially in the young and working population, which constitutes more than 50% of completed suicides. This brings with it a great affectation to the economy of the state, not only when the workers manage to commit suicide, but also when it is only attempted, since their work responsibilities are stopped. In this study, a database compiled by the psychology department of the Autonomous University of Aguascalientes with factors associated with mood is analyzed, in which we can find features associated with sleep disturbance, self-esteem problems, and even affectations in the weight. This database contains information on people with suicidal tendencies, and a control group. To identify the key features that suicidal people present, the total set of typical testors was obtained and the informational weight of each feature was obtained. In the same way, a predictor was made using a classifier based on the naive bayes theory, analyzing its effectiveness with the total set of features, and using only the best features, with an informational weight greater than 40%.

ICIEOM2022_FULL_0016_37590

SUPPLY CHAIN RISK ASSESSMENT: SYSTEMATIC REVIEW AND RESEARCH DIRECTIONS

ÁREA: ICIEOM2022 / 02. Logistics and Supply Chain Management
AUTORES: LIANE MÁRCIA FREITAS SILVA;MARIA SILENE ALEXANDRE LEITE

10.14488/ijcieom2022_full_0016_37590

risks, supply chain risk management, risk assessment, general review.

This article explores perspectives on risk assessment in the supply chain, identifying tools most used in the literature on risk assessment in the supply chain Two phases were used as a methodological procedure: 1- systematic review of the literature for theoretical survey of articles focusing on the phase risk assessment; and 2- identification and quantification of the tools used for risk assessment. From this, there was a significant number of theoretical reviews on SCRM, however, knowledge about risk assessment is still diffuse, being considered the most critical and complex phase in risk management. The main tools identified were simulation and Bayesian networks to define risk probability and probability and impact matrices and AHP to identify the most critical risks.

ICIEOM2022_FULL_0026_37615

SURGICAL FLOW IMPROVEMENT BASED ON LEAN HEALTHCARE: A BRAZILIAN CASE STUDY USING THE VSM

ÁREA: ICIEOM2022 / 12. Heathcare Operations Management
AUTORES: GEANDRA ALVES QUEIROZ;THIAGO ANTONIO SOUZA;ADRIELE TALITA CARVALHO

10.14488/ijcieom2022_full_0026_37615

lean healthcare, operating room, value stream mapping

Hospitals have adopted lean healthcare implementations with the aim of increasing value creation for their patients, reducing lead time and costs, in addition to supporting hospital quality accreditations. An important sector in this process is the operating room, which usually has a high cost and revenue potential for hospitals. In this context, this study analyzed the value stream map of two large hospitals in Brazil, through a case study, to evaluate their lead time, their waste, and general problems and propose a framework to improve the surgical flow. The average lead time found in the surgical flow of the study hospitals was around 6.8 hours, with 50% of non-value-added activities, such as waiting, rework, and low quality in some processes, indicating great possibilities for improvement in the hospitals, such as improvements in physical space through 5S and visual management, end-to-end flow optimization with reduced waits, improved setup, and patient flow planning; and, performance management with the implementation of efficiency, quality and cost indicators such as the ORE.

ICIEOM2022_ABST_0016_37636

THE EFFECT OF THE HUMAN FACTOR IN THE DETERMINATION AND CONTROL OF THE REORDER POINT. AN EMPIRICAL STUDY

ÁREA: ICIEOM2022 / 02. Logistics and Supply Chain Management
AUTORES: ENRIQUE ANCEL BOLANOS SASSO

10.14488/ijcieom2022_abst_0016_37636

reorden point, inventory control,

The effect of the human factor in the determination and control of the reorder point. An empirical study Bolanos -Sasso Enrique. Anahuac University, Mexico Abstract. The estimation and right execution of the of reorder points are important tasks in inventory management decisions because is an extremely transcendental to maintain the balance between the customer service levels and the organizations inventory costs. Markets are more competitiveness and add new uncertainty variables from factors that are not under control of companies. Maintain supply chain working in an efficient and effective way implies that the company people use the correct inventory models, and at the same time, control and manage them in an adequate way. Ensuring correct and timely information in the inventory system is essential The human factor is a determining point in any process, and the success or failure of the chosen and implemented system depends on this resource. Is clear that the system establishes when to request, but the procedure to control that it is executed on time, the entry of the data that will be used and the subsequent verification controls, are made and executed by people, with technical capabilities, training, skills, their performance level, as well as their results, depend upon them This study intends to include in the traditional formula of the reorder point, a correction factor to it, this factor is the human factor, who can be obtained using traditional Human Resources metrics to measure the performance and compliance of the people team in charge of the inventory control system in organizations. And thus give a tool to companies and other researchers to be able to calculate a reorder point that, in addition to taking the traditional values of transit time, product demand and safety stock, adds a value of the performance of the personnel that establishes it and controls. The name of the Correction factor will be identified with the acronym CHF (Correction Human Factor). This is a percentage in fraction that will perform the mathematical division operation in the reorder point formula and its function will be incremental, the lower the percentage, the more the reorder point will increase, and this will indicate to the organization that for Lower these costs as a result of the increase in inventory ordered, you must improve your management of Responsible Human Resources. The Study to calculate the performance of Human Resources is carried out in the purchasing and logistics area of a Cosmetic Chemical company with more than 20 years in the market and that is a leader in its market in the Central American, Mexican, and Caribbean regions. To evaluate this performance is used: The article "Employee performance evaluation: a fuzzy approach" indicates that there is a vast research work in the field of PA personnel management. Many quantitative and judgmental methods have evolved over the last few years. However, this article tries to cover some of the ideas of those contributions. The importance of evaluating staff performance and its relationship with company performance is well documented in the literature (Lowe, 1986; Katzenbach and Smith, 1993; Kilduff et al., 2000; Higgs, 2005). A variety of evaluation techniques are available to measure performance (Chang and Hahn, 2006; Jiang et al., 2001; Armentrout, 1986; Arvey and Murphy, 1998; Sánchez and De La Torre, 1996; Strong, 1991). (1) (1) Ahmed, I., Sultana, I., Paul, S.K. and Azeem, A. (2013), "Employee performance evaluation: a fuzzy approach", International Journal of Productivity and Performance Management, Vol. 62 No. 7, pp. 718-734. https://doi.org/10.1108/IJPPM-01-2013-0013

ICIEOM2022_FULL_0021_37545

THE RELATIONSHIP OF KNOWLEDGE MANAGEMENT WITH TOTAL QUALITY MANAGEMENT: A LITERATURE REVIEW

ÁREA: ICIEOM2022 / 07. Knowledge and Information Management
AUTORES: IZABELLE MARTINEZ MARTINEZ;CAMILA CORRÊA DE MELO;MANOELA PASTOR;GABRIEL HENRIQUE SILVA RAMPINI;FERNANDO TOBAL BERSSANETI

10.14488/ijcieom2022_full_0021_37545

knowledge management, total quality management, content analysis

The adoption of management philosophies or methodologies may be necessary for companies to ensure their long-term survival; within this context, total quality management (TQM) and knowledge management (KM) are philosophies that have gained importance in literature. Through a literature review of 76 articles, this paper identified intellectual themes that relate both management philosophies. The evolution of the literature, main journals, most relevant articles, fundamental themes impacted by the relationship between TQM and KM were analyzed. The results showed that the research area of study is widespread and there is a growing interest in the relationship between TQM and KM. The content analysis provided an overview of the main topics discussed in the literature subdividing them into Motor, Basic, Niche and Emerging Themes. This paper contributes to the literature presenting analysis and discussion about the relationship between TQM and KM and provides an initial guide for those seeking to explore it. Due to the exploratory character of the study, the analyses performed may be liable to subjectivity. Thus, for future research, is suggested to continue the conversation regarding the topics explored in the clusters and approach them from different perspectives.

ICIEOM2022_FULL_0016_37618

TRACEABILITY TECHNOLOGY USING BLOCKCHAIN: AN OVERVIEW OF FOOD INDUSTRIES IN THE STATE OF SÃO PAULO, BRAZIL

ÁREA: ICIEOM2022 / 02. Logistics and Supply Chain Management
AUTORES: LINIK MAYARA DE SOUZA MEIRELES;MARIA JOSE PEREIRA DANTAS

10.14488/ijcieom2022_full_0016_37618

food supply chain, logistics, brazilian food industry

The scarcity of studies on the adoption of Blockchain technology in the food supply chain, especially regarding the potential and risks involved, motivated the need to investigate how the food sector in Brazil uses this technology. The study evaluated, through structured research, whether companies operating in the segment make use of this technology for food tracking. Thus, it aimed to investigate the adoption of Blockchain technology in large food companies in food tracking, adopting as a sample the 100 largest companies in the sector in the state of São Paulo. The study shows that some companies were found that make use of this technology, and the impacts of its use on food traceability were demonstrated. Traceability with Blockchain technology, when adopted, has brought gains for companies in terms of phytosanitary issues and, consequently, awareness for sustainable behavioral choices.

ICIEOM2022_FULL_0024_37583

WASTE MANAGEMENT DUE TO COVID-19 PANDEMIC

ÁREA: ICIEOM2022 / 10. Sustainability
AUTORES: ANA PAULA MARTÍNEZ DEL AGUILA;EMMA LAURA MILLÁN CARMONA;PEDRO IBARRA MORENO;ALFREDO LOAEZA MARTÍNEZ;EMMANUEL ALEJANDRO RIVERA AMARO

10.14488/ijcieom2022_full_0024_37583

waste management, sustainability, covid-19.

The outbreak of Covid-19 disease has had many repercussions in everyday life, in-cluding restrictions and domestic lockdowns imposed by governments around the world to safeguard population´s health. Preventive measures were taken to reduce the spread of the virus, such as the mandatory use of personal protective equipment (PPE) for medical personnel and for daily use. The global pandemic had brought many side effects in economic activities, market demand, as well as in the health and environmental fields. There were positive effects in the later field due to the slowdown of social activities reducing greenhouse gasses emissions, air pollution, oil usage. On the other hand, waste management of PPE and plastic disposal has had a negative effect on their conventional operations. The objec-tive of this paper is to conduct a literature review of sustainable waste management methods and offer a holistic view of the outstanding strategies and solutions.