Proceedings IJCIEOM – International Joint Conference on Industrial Engineering and Operations Management



Proceedings IJCIEOM – International Joint Conference on Industrial Engineering and Operations Management
28th IJCIEOM – International Joint Conference on Industrial Engineering and Operations Management


ICIEOM 2024


This conference is aimed to enhance connection between academia and industry and to gather researchers and practitioners specializing in industrial engineering and operations management.

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Click here to meet the members of the Scientific Committee IJCIEOM 2024.


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ICIEOM2024_ABST_0067_38035

A DISCRETE EVENT SIMULATION APPROACH TO DEFINE THE OPERATING STRATEGIES AND ASSUMPTIONS IN AN IRON ORE PORT

ÁREA: ICIEOM2024 / 14.Operations Research
AUTORES: YURI AMARAL CONTE LOFREDO MOURÃO;JOSÉ DE RIBAMAR ROCHA CARVALHO;ALAN RUBENS SÁ FILHO;BELISA SILVA RIBEIRO;LUIZA CARNAUBA RIBEIRO DE ANDRADE

10.14488/ijcieom2024_abst_0067_38035

discrete-event simulation; operational research; iron ore port, operating strategies

The planning of operating strategies and assumptions in an iron ore port is the key factor in achieving the best system productivity. However, the complexity of the system with the interaction of large equipment from the unloading iron ore wagons, the stockyard to ship loading and its restrictions is a challenge to determine the best way to operate with the correct equipment allocation, maintenance priorities, stockpiles and conveyor belts routes in each scenario analyzed. The discrete event simulation is relevant for the provision of operating resources, expenses and as reference for the maintenance contracts, vessels, equipment and materials. From this perspective, operational research aims to planning the operating strategies and reduces the operational costs. For this, the simulation is used to model, simulate three different scenarios, analyze and propose the planning strategy for the highest capacity scenario, as well as proposing improvements. The first scenario is the current iron ore port, the second scenario is considering the operation with one less berth and the third scenario is considering the operation with one less reclaimer equipment. The results obtained show that the third scenario has the capacity to absorb the production demand considering the operation with less resources, consequently lower costs.

ICIEOM2024_FULL_0057_37982

A NOVEL RESILIENT PATIENT ADMISSION SCHEDULING CONCEPTUAL MODEL

ÁREA: ICIEOM2024 / 04.Healthcare Management
AUTORES: LÚCIO GALVÃO MENDES;PEDRO OLIVEIRA ONORIO;DJONATHAN LUIZ DE OLIVEIRA QUADRAS;DANILO RIBAMAR SÁ RIBEIRO;ENZO MOROSINI FRAZZON

10.14488/ijcieom2024_full_0057_37982

patient admission scheduling; simulation-based optimization; short-term forecast.

The advent of Industry 4.0 has revolutionized decision-making processes in production systems by leveraging real-time data provided by advanced information technologies. In service industries, effective planning and scheduling of resources have been shown to reduce waiting times, enhance user satisfaction, and improve organizational profitability. However, in the healthcare sector, where beds are among the most critical resources, optimal allocation of patients presents a complex challenge known as Patient Admission Scheduling (PAS). The dynamic na-ture of hospital environments, characterized by uncertainties and fluctuating oc-cupancy rates of emergency patients, demands periodic rescheduling. One key uncertainty lies in the availability of beds for elective patients, highlighting the importance of accurate prediction methods in the scheduling process. In this context, simulation-based optimization (SBO) techniques offer a promising solution due to their ability to handle stochastic behavior inherent in hospital systems. This paper proposes a conceptual resilient model for patient admission scheduling, integrating simulation-based optimization with machine learning-based forecasting models. By harnessing real-time data and predictive analytics, this model aims to address the challenges of patient admission scheduling in the era of Industry 4.0. Overall, this research contributes to the ongoing discussion on patient admission schedules by leveraging new technologies and advanced forecasting models to improve decision-making processes in healthcare management.

ICIEOM2024_FULL_0055_37961

AN ARCHITECTURE BASED ON BLOCKCHAIN TECHNOLOGY FOR PACKAGING RETURNS: A STUDY IN THE WOOD PANEL INDUSTRY

ÁREA: ICIEOM2024 / 02.Circular Economy and Sustainable Operations and Supply Chain Management
AUTORES: JAYSON WILSON BARRETTI;JULIANA VEIGA MENDES

10.14488/ijcieom2024_full_0055_37961

reverse logistics, production planning, circular economy, esg, internet of things

This article aims to propose a solution for the return of packaging in the wood panel industry. The proposed solution is an architecture based on blockchain technology that supports reverse logistics to minimize waste generation in landfills and reduce costs, and resource consumption. To achieve this goal, this work was conducted in two stages. Firstly, a literature review was conducted on the fundamentals of blockchain technology, its application in sustainable supply chain management, and how blockchain architectures are structured in the literature. Once the literature was mapped, it was possible to observe that existing blockchain architectures do not address manufacturing activities regarding the return and reuse of waste through reverse logistics. Thus, the second stage of this study involved the conceptual development of a solution based on blockchain architecture for the return of packaging, considering a real scenario of the wood panel industry. As a result, the proposed architecture supports the reverse logistics of packaging for the panel industry chain, enabling the establishment of a secure technological ecosystem for real-time data transmission and material traceability, promoting waste reuse. This solution highlights the financial incentive obtained for returned and reused waste, generated through smart contracts. However, the implementation of blockchain technology faces challenges such as low awareness of recycling, disbelief in its effectiveness, and a shortage of technical capacity in the market, representing significant obstacles to its adoption in Reverse Logistics and Closed Supply Chains.

ICIEOM2024_FULL_0055_37904

AN ESG-BASED APPROACH TO SUPPLY CHAIN MANAGEMENT

ÁREA: ICIEOM2024 / 02.Circular Economy and Sustainable Operations and Supply Chain Management
AUTORES: STEICY DE SOUZA JORGE;ERICA LUISA CORREA;LUÍS FERNANDO PAULISTA COTIAN;ELPIDIO OSCAR BENITEZ NARA;JONES LUÍS SCHAEFER

10.14488/ijcieom2024_full_0055_37904

esg; supply chain management; managerial sustainability; esg criteria; esg topics; mcdm

In response to the current competitive landscape, companies seek to redefine their business vision, abandoning the exclusive pursuit of profit in favour of including sustainable development objectives. This article aims to present an approach to developing sustainable supplier management strategies in an automation company in South Brazil. Initially, a Systematic Literature Review (SLR) was conducted to identify criteria and topics related to Corporate Sustainability (ESG - Environmental, Social and Governance). Then, the Fuzzy Delphi method was applied to classify and filter the most relevant topics, considering the uncertainty and subjectivity inherent to the experts' assessments. The resulting method aims to identify relevant themes from the literature and tailor them to the organisation's specific needs, providing a tailored approach to sustainable supply chain management. Integrating these topics in the supply chain seeks to promote sustainable and responsible practices, contributing to the effective implementation of sustainability strategies in the company's business context.

ICIEOM2024_FULL_0061_37964

ANALYSIS OF BUSINESS INTELLIGENCE CONTRIBUTIONS IN EDUCATIONAL INSTITUTIONS: A LITERATURE REVIEW USING TOPIC MODELING

ÁREA: ICIEOM2024 / 08.Information Systems in Operations
AUTORES: EDUARDO LUIZ ALBA;GILSON ADAMCZUK OLIVEIRA;ERICK OLIVEIRA RODRIGUES

10.14488/ijcieom2024_full_0061_37964

business intelligence, educational institutions, higher education, topic modeling, latent dirichlet allocation

Business Intelligence (BI) is a comprehensive concept encompassing tools, technologies, and methodologies designed for the discovery, analysis, and presentation of business information, aimed at facilitating decision-making processes. This concept has gained widespread popularity, particularly in light of the substantial surge in data generated by individuals in recent times. The advent of Big Data poses significant challenges for organizations, compelling them to adapt and enhance their decision-making processes to gain a competitive edge. Within an educational context, the scenario remains analogous, as decisions play a pivotal role in the development of institutions and student learning outcomes. In response to this, numerous authors have delved into the application of Business Intelligence in educational institutions, necessitating an exploratory literature review to identify key issues addressed in these works. This study aims to conduct such a review, employing Topic Modeling with Latent Dirichlet Allocation (LDA) to delineate the principal themes covered in scientific articles on this subject. The review was carried out using the Scopus database, encompassing a preliminary portfolio of 331 works, revealing four topics: I-Utilizing Business Intelligence to enhance the learning process and elevate students' performance in Higher Education, II-Employing Business Intelligence for the management and analysis of educational data, III-Integrating Business Intelligence and information technologies to foster innovation and collaboration in education and research, and IV-Exploring the intersection of business intelligence, data warehouse, and Big Data for the management of financial, academic, and sustainability aspects.

ICIEOM2024_FULL_0065_37950

ANALYSIS OF LOCAL PERCEPTIONS ON THE IMPLEMENTATION OF THE SUSTAINABLE DEVELOPMENT GOALS (SDGS): A RESEARCH STUDY IN A CITY IN NORTHERN PARANÁ

ÁREA: ICIEOM2024 / 12.Logistics and Transportation
AUTORES: GUSTAVO SMARSI VALERIO;BEATRYZ DE ALMEIDA ALCANTARA;ISADORA MARCELA DE CAMPOS;MÁRCIA MARCONDES ALTIMARI SAMED;SYNTIA LEMOS COTRIM

10.14488/ijcieom2024_full_0065_37950

smart cities, sdg?s, sustainable cities, iso 37120.

According to the UN's World Urban Prospects Report (2014), it is projected to reach 10 billion by 2050 This paper explores the practical application of Sustainable Development Goal 11 (SDG 11) in a city in northern Paraná, Brazil. Employing a research study methodology, in-depth research was conducted with experts in the field using a questionnaire structured around the specific objectives of SDG 11. The aim was to assess the city's alignment with the goals of SDG 11, providing an overarching view of its performance and suggesting potential changes in line with the principles of SDGs, ISO 37120, and the Global Report Initiative (GRI). The findings reveal that the city exhibits a commendable alignment with the objectives of SDG 11. However, the study identifies areas for improvement, offering insights into potential changes that could lead to a more comprehensive conformity to the targets outlined in SDG 11. This research not only contributes to local sustainability but also holds significant potential for replication within the same city for other SDGs or across various municipalities, serving as a valuable research framework.

ICIEOM2024_FULL_0055_38045

ANALYSIS OF ORGANIZATIONAL TOOLS FROM A SOCIETAL PERSPECTIVE: A SYSTEMATIC LITERATURE REVIEW

ÁREA: ICIEOM2024 / 02.Circular Economy and Sustainable Operations and Supply Chain Management
AUTORES: CLAYTON COSTA;AMANDA XAVIER;THARCISIO COTTA FONTAINHA;ARIELE RODRIGUES

10.14488/ijcieom2024_full_0055_38045

sustainability, systematic literature review, supply chain management.

Sustainability, a critical factor in tackling challenges such as social injustice, climate change, and the reduction of biodiversity, still needs to be fully integrated into organizational and supply chain strategies, particularly from the societal perspective. However, incorporating sustainable practices as a strategy for an organization or supply chain is still in its infancy, especially regarding the societal dimension as the core of the economic development process. Therefore, the main objective of this study is to provide an overview of research into support tools for implementing sustainable practices in organizations. This research adopts the Systematic Literature Review (SLR) method, focusing on bibliometric analysis based on articles from the Web of Science and Scopus databases. By recognizing 57 tools, this research provides insights into the number of publications over the years, the most relevant sources and authors, the global map of collaboration between countries and the co-occurrence network, which produced a temporal overlap map with the authors' keywords, indicating the evolution of the topic in the literature. It was found that research activities on the subject are conducted globally by various authors and co-authors but independently, revealing a need for more collaboration between countries, particularly between authors from developed and emerging countries. In this way, this research can help future research in developing new support tools, as well as new integrative proposals.

ICIEOM2024_FULL_0062_37978

ANALYSIS OF SOCIAL TECHNOLOGIES IN BRAZIL FROM THE PERSPECTIVE OF THE THEORY OF INVENTIVE PROBLEM SOLVING (TRIZ)

ÁREA: ICIEOM2024 / 09.Innovation, Product and Service Development
AUTORES: VERUSCHKA VIEIRA FRANCA;CLEITON RODRIGUES DE VASCONCELOS;KEVIN BARBOZA SANTOS;BEATRIZ MENDONÇA CUNHA

10.14488/ijcieom2024_full_0062_37978

sustainable development goals, social technologies, the theory of inventive problem solving.

The 2030 Agenda defines 17 Sustainable Development Goals (SDGs) that coun-tries must achieve by 2030, and the achievement of these goals involves the col-laboration of civil society and the scientific and academic communities. In this scenario, Social Technologies (STs) can generate positive impacts regarding achieving the goals; however, because they are implemented locally, most of the STs are not disseminated to the population, and patenting is a way to change this scenario. Thus, this study aims to analyze the STs present in the Social Technol-ogies Platform of the Banco do Brasil Foundation based on The Theory of In-ventive Problem Solving (TRIZ) to define the inventive principles of the priori-tized technologies. After surveying the platform, two analysis groups were de-fined, one of the technologies that generated patents and another that did not gen-erate patents. A contradiction matrix was used to obtain the inventive principles of each analyzed group, resulting in the STs that generated patents having almost three times more inventive principles than the STs that were not patented. Fur-thermore, the STs of the patented group address more general problems than those of the group without patents, which mainly address problems that presented characteristics such as cost reduction without perceived improvements, use of knowledge already accessible to the public, and application of knowledge in an obvious way.

ICIEOM2024_ABST_0079_37927

ANALYZING AND ENHANCING PUNCTUALITY IN BRAZILIAN AIR TRANSPORTATION: A PROCESS CAPABILITY PERSPECTIVE

ÁREA: ICIEOM2024 / 26.Quality and Reliability
AUTORES: ANDRÉ LUIZ TEIXEIRA;HENRRICCO NIEVES PUJOL TUCCI

10.14488/ijcieom2024_abst_0079_37927

on-time performance; flight punctuality rate; quantitative methods analysis; flight delay; airline.

This work in progress paper investigates the 2023 performance of the Brazilian air transportation system, with a focus on punctuality and key contributors to flight distribution. Analysis of 983,381 flights reveals a concentration of 90.53% among the top 10 companies. Primary airports constitute 59.75% of all flights. Punctuality examination shows varied performance among top 10 companies, with an overall system punctuality of 79.03% in 2023. This study lays the foundation for a more comprehensive analysis of operational patterns and punctuality in Brazilian aviation.

ICIEOM2024_ABST_0054_38025

ANALYZING THE RESOCIALIZATION OF THE BRAZILIAN MALE PRISON SYSTEM THROUGH DATA ENVELOPMENT ANALYSIS (DEA)

ÁREA: ICIEOM2024 / 01.General Topics of Production and Industrial Engineering
AUTORES: LEANDRO MOREIRA PINTO;ENZO BARBERIO MARIANO;DIOGO FERRAZ

10.14488/ijcieom2024_abst_0054_38025

resocialization; prison system; brazil; data envelopment analysis (dea); inmates

Analyzing the Resocialization of the Brazilian Male Prison System through Data Envelopment Analysis (DEA) The preservation of public safety holds a prominent position on the political agenda of numerous countries, particularly to advance welfare. According to Altamirano, Berens (1), the escalation of crime rates poses a significant threat to long-term economic development. Consequently, ensuring public safety has emerged as an essential condition for countries to achieve sustainable development (2). Fernandez and Kuenzi (3) further emphasize that public security has the same importance as other socio-economic variables in the consolidation of democracy. Considering these difficult circumstances, the prison system typically falls short in the process of resocializing inmates, hindering their successful reintegration into society following their release. In this study, the promotion of resocialization is identified as the provision of sufficient educational and work conditions within the prison system. This emphasis on educational and work activities is crucial as it enables inmates to improve their human capabilities (4), and actively engage in civil society. This issue is particularly critical for developing nations, notably in Latin America and Africa, where high crime and incarceration rates (5). Moreover, developing countries struggle with limited financial resources and fundamental needs across several sectors, highlighting the necessity for a more efficient prison system in the resocialization of inmates. In the field of public security, the prison system has emerged as a significant financial burden for numerous countries (6). Policymakers are challenged to manage a costly system with limited investment. This scenario not only hampers the system's operation but also exposes several problems, such as overcrowding in Prison Units (PUs) and unsanitary conditions for both prison staff and inmates (7). It is important to note that this environment poses health risks for inmates and significantly compromises their resocialization into society (8). In light of this scenario, there is a gap in quantitative studies regarding the performance of prison systems in reintegrating inmates into society, particularly in developing regions. This gap is addressed by the following research problem: which are the best PUs providing better conditions for prison resocializations? Therefore, this article aims to create a new indicator to reveal the best PUs in Brazil in terms of promoting resocialization activities (i.e., education and work). The contribution of this study lies in establishing a proxy for resocialization among PUs in Brazil, which helps policymakers and other researchers. Methodologically, this study is classified as a retrospective cross-sectional study. This study analyzed the male prison system in Brazil from January to June 2022, with data sourced from SISDEPEN (2024). The database includes 437 male PUs with available data. These PUs were chosen because of the comprehensive and reliable information, enabling a detailed investigation into various aspects of PUs and their operations. This article uses the DEA-BCC model (9), given the difference in the size of PUs. The DEA model is output-oriented to achieve the best quality of the system through the current infrastructure of the Brazilian prison system. The inputs are nº of inmates, operating expenses, and staff. The outputs are inmates working, inmates in regular study activities (literacy, primary and secondary education), inmates in sentence remission programs through reading, and inmates in supplementary educational activities. The result of the model will correspond to the overall performance of the PUs. In addition, this article used the Inverted Frontier as a tiebreaker method. A proposed indicator, the Prison Resocialization Efficiency Indicator (PREI), is introduced as a proxy for measuring the performance of PUs in promoting conditions for resocialization

ICIEOM2024_FULL_0061_37918

APPLICATION OF THE Q METHOD IN THE IMPLEMENTATION OF INTEGRATED INFORMATION MANAGEMENT SYSTEMS IN PRODUCT LIFE CYCLE MANAGEMENT BASED ON INDUSTRY 4.0

ÁREA: ICIEOM2024 / 08.Information Systems in Operations
AUTORES: CARLOS EDUARDO MARAN SANTOS;ALEXANDRE ARNS STEINER;PEDRO TONDELA DE JESUS CORREIA FILHO;ELPIDIO OSCAR BENITEZ NARA;JONES LUÍS SCHAEFER

10.14488/ijcieom2024_full_0061_37918

integrated information management system; product life cycle; industry 4.0; organizational performance; organizational information processing theory; q method

From the Integrated Information Management Systems (IIMS) perspective in Product Lifecycle Management (PLM) based on the Industry 4.0 concept, a gap arises in a comprehensive analysis of the interaction between the various pillars constituting various contexts. This article aims to study the implementation of IIMS in PLM aligned with the principles of Industry 4.0 against the backdrop of strengthening companies in highly competitive environments. This analysis not only intends to understand each component as an isolated entity but also explore hypotheses and effects that synergistically connect them; the implications and effects that depend on each other were presented and can have a significant role in improving the performance of organisations?increasingly complex environment for the advancement of technology and innovation. By applying the Q method, correlations and groupings in the data will be analysed. The dependency and interdependence relationships between variables will be identified, as well as the effects generated, to validate the preliminary conceptual framework in industrial environments using the Q method and construct validation by Exploratory Factor Analysis (EFA), including Mean Extraction Statistics, Statistical Deviation Error, Statistical Asymmetry and Statistical Kurtosis. The contribution of this study lies in the clear definition of the interactions between the technologies addressed, representing both a scientific advance and a practical application, providing a guide for decision-making and implementation of technologies in the industry, not only in Brazil but also in a global context.

ICIEOM2024_FULL_0065_38001

ASSESSING THE ECO EFFICIENCY OF COASTAL SHIPPING IN BRAZIL WITH THE DDF MALMQUIST MODEL

ÁREA: ICIEOM2024 / 12.Logistics and Transportation
AUTORES: PEDRO LEMOS DA SILVA ARAUJO;RENAN SILVA SANTOS;RODRIGO GOYANNES GUSMÃO CAIADO;DANIELE GOMES DO NASCIMENTO;GUILHERME LEITE SABOYA

10.14488/ijcieom2024_full_0065_38001

coastal shipping, eco efficiency, ddf malmquist

Brazil's coastal shipping represents a potentially sustainable transport alternative, but adoption remains limited. This research addresses this gap by analyzing the sustainable and operational performance of Brazilian coastal shipping using the DDF Malmquist model. The study proposes a novel methodology integrating the Directional Distance Function (DDF) and Malmquist index to evaluate efficiency, productivity, and eco-efficiency. Applied to a shipping company, the methodology demonstrates step-by-step implementation. Ships serve as decision-making units, with greenhouse gas emissions a key output. The DDF model measures efficiency, followed by the DDF Malmquist model to assess productivity over time. The final phase proposes performance improvement guidelines. The findings showcase the DDF Malmquist model's ability to provide a nuanced sustainability perspective, enabling in-depth eco-efficiency analyses of ships. Results reveal superior eco-efficiency for the company's own ships versus partners, possibly due to an observed revenue-emissions relationship. This study contributes theoretically by addressing the maritime sector eco-efficiency and productivity assessment gap in Brazil using the DDF Malmquist methodology. It facilitates comparative ship analysis over time, unifying eco-efficiency and productivity evaluations while considering desirable and undesirable outputs. Overall, the study highlights Brazilian coastal shipping's sustainability potential and provides valuable insights to improve its performance.

ICIEOM2024_FULL_0055_37913

ASSESSMENT OF ENVIRONMENTAL PERFORMANCE COMBINING LIFE CYCLE ASSESSMENT, MULTI-CRITERIA ANALYSIS, AND ENVIRONMENTAL PERFORMANCE INDICATORS FROM A CASE STUDY ON THE POST-PRODUCTION OF 3D-PRINTED FACE MASKS

ÁREA: ICIEOM2024 / 02.Circular Economy and Sustainable Operations and Supply Chain Management
AUTORES: ISADORA MARCELA DE CAMPOS;ISABELA ANTUNES DE SOUZA LIMA;ILKA KORTE;GIANCARLO ALFONSO LOVÓN-CANCHUMANI;SYNTIA LEMOS COTRIM

10.14488/ijcieom2024_full_0055_37913

sustainable practices, integrated environmental assessment, sustainability.

The paper proposes an assessment of the environmental impact of 3D-printed face mask production during the COVID-19 pandemic, integrating three quality management tools: Life Cycle Assessment (LCA), Multi-Criteria Analysis (MCA), and Environmental Performance Indicators (EPIs). The approach, named COMPLIMENT, emphasizes the importance of considering factors such as CO2 emissions and regional/local impacts. The results reveal a significant environmental impact regarding CO2 emissions, underscoring the need for mitigation strategies, such as efficient energy source management. Multi-criteria analysis allowed the assignment of weights to different criteria, considering diverse geographic scales. Beyond production, the article addresses product disposal management, and adopting Design for the Environment (DfE) principles. Practical recommendations include selecting sustainable materials, promoting reusable masks, and implementing collection and recycling programs. Despite positive results, the study acknowledges challenges in data collection for Life Cycle Assessment and emphasizes the need for future comparative research and long-term studies on the environmental impact of design practices and end-of-life considerations. The paper highlights the importance of an integrated approach to environmental assessment and product management, promoting sustainable practices from production to disposal. It contributes to a more informed understanding of environmental impacts, guiding decisions towards a more sustainable future.

ICIEOM2024_FULL_0057_37901

ASSISTIVE TECHNOLOGY: ENHANCING HEALTH MANAGEMENT FOR INCLUSIVE SERVICES

ÁREA: ICIEOM2024 / 04.Healthcare Management
AUTORES: PAULO ALEXANDRE CORREIA DE JESUS;JORDAM WILSON LOURENÇO;LUCIANA HELENA KOWALSKI;ELPIDIO OSCAR BENITEZ NARA;JONES LUÍS SCHAEFER

10.14488/ijcieom2024_full_0057_37901

assistive technology; health management; accessibility; stakeholders; technological solutions

Competent healthcare management is fundamental in promoting facilitated and equitable access to products and services provided to the population. Among the products offered, Assistive Technologies (ATs) can be mentioned. These technologies contribute to the daily lives of people with temporary or chronic disabilities. It is a multidisciplinary field encompassing products, resources, and services to facilitate the daily lives of people with disabilities (PWD). Thus, researching such technologies contributes to accessibility, efficient adherence, social participation, independence, and improvement in the quality of life of these individuals. This work aims to understand the relationship between ATs and health management regarding their influence in the political, economic, social, legal, technological, and environmental perspectives. In the methodological process of this study, journals with themes related to AT were searched in the Scopus and Web of Science databases, resulting in 11,317 papers. Subsequently, papers were selected using exclusion criteria, including verification of duplicate documents, papers written in languages other than English, papers with Q1 and Q2 impact factors, and relevance criteria through a Likert scale, totaling 33 papers for PESTLE analysis. The research demonstrated that effective management significantly contributes to increased accessibility and incorporation of AT for people with limited functional capacity. Additionally, it is noted that, through PESTLE analysis, the relationship between Assistive Technology and the Environment needs to be more widely discussed in the literature, representing a gap to be explored.

ICIEOM2024_FULL_0056_38014

CHALLENGES AND OPPORTUNITIES OF INDUSTRY 4.0 ENABLING TECHNOLOGIES IN MICRO, SMALL, AND MEDIUM-SIZED COMPANIES

ÁREA: ICIEOM2024 / 03.Digital Transformation and Data Science
AUTORES: ALEX DE PAULA VEDOY;PAULA FERNANDA VARANDAS FERREIRA;GÉREMI GILSON DRANKA;DALMARINO SETTI;JOSÉ DONIZETTI DE LIMA

10.14488/ijcieom2024_full_0056_38014

challenges, opportunities, industry 4.0

Micro, small, and medium-sized enterprises are crucial in generating employment and income, serving as significant drivers of the Brazilian economy. Industry 4.0 and its enabling technologies have the potential to provide competitive advantages for these enterprises by reducing costs and enhancing productivity. Before implementing these technologies, individuals involved in decision-making must be prepared and aware of possible challenges and barriers associated with investment projects in Industry 4.0 enabling technologies. Managers also need to understand the benefits and opportunities that investing in these technologies can bring to their companies. Therefore, this work seeks to systematically find and analyze articles identifying challenges and opportunities in digital transformation processes in micro, small, and medium-sized enterprises. A systematic literature review was conducted based on the ProKnow-C methodology (Knowledge Development Process ? Constructivist) to achieve this objective. As a result, 14 articles were found and analyzed, in which authors presented various barriers and opportunities involved in digital transformation processes.



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ISSN ICIEOM: 23178000


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