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

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

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

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

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

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

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

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

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

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

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

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

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

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

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_37959

BUSINESS ANALYTICS APPLICATIONS WITH A FOCUS ON AGRIBUSINESS

ÁREA: ICIEOM2024 / 03.Digital Transformation and Data Science
AUTORES: LEONEL BIEDERMANN INOCENCIO;EDUARDO LUIZ ALBA;GILSON ADAMCZUK OLIVEIRA

business analytics, agribusiness, literature review

Brazilian agribusiness is one of the largest in the world, being responsible for 25% of Brazil's GDP, with production expected to increase by 70% in 30 years. For this reason, investments in new technologies, such as business analysis, are necessary. Business Analytics (BA), which has become increasingly crucial in the context of agribusiness, providing essential data for more accurate decisions, promoting an analytical understanding of the market, and improving companies production processes. An exploratory literature review (REL) was carried out based on a nine-step Unified Framework, using topic modeling to highlight the main research involving BA applications in Brazilian agribusiness. The search was carried out in the Scopus database, obtaining 154 articles to identify key topics. Subsequently, the most relevant articles were selected for elaborating and deepening the research on the application of Business Analytics (BA) in Agribusiness. Four key topics were obtained to prospect Business Analytics applications with an emphasis on agribusiness, giving special focus to agribusiness companies in Brazil, obtaining the subjects i-performance, ii-data-management, iii-innovation and iv-sustainability, representing the current profile of Brazilian agribusiness and Worldwide.

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

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.

ICIEOM2024_FULL_0079_37998

COMPARATIVE QUALITATIVE EVALUATION OF THE TRADITIONAL SHEWHART CHART AND EWMA APPLIED IN A FOOD INDUSTRY

ÁREA: ICIEOM2024 / 26.Quality and Reliability
AUTORES: DAMARIS CHIEREGATO VICENTIN;PEDRO CARLOS OPRIME;BRENA SILVA;CARLOS ADRIANO ADAME;ROBSON FERNANDO NEVES

statistical process control, shewhart charts, ewma control chart.

Statistical Process Control (SPC) plays a fundamental role in ensuring quality and production efficiency, allowing the identification and correction of shits in the process, contributing to customer satisfaction and cost reduction. Thus, the main objective of the study is to carry out a qualitative comparative analysis of the use of traditional Shewhart control charts for mean and amplitude and Exponentially Weighted Moving Average (EWMA), in terms of practical significance, to monitor the packaging process, aiming to assist decision making regarding product conformity and quality, such as reducing product losses and preventing non-conformities. To achieve this objective, the case study research method was used and the assessment method adopted was the comparative analysis of the use of control charts for mean and amplitude with the EWMA control chart. Analysis of the results, focusing on the interpretation of the graphs obtained, revealed that the packaging process did not remain under control during the sample collection period. Thus, the study demonstrates that the application of SPC, through EWMA control charts, is a more sensitive approach to monitoring small changes in the process. However, in terms of practical significance, intervention to correct them may be less advantageous. The methodology adopted for the qualitative comparative assessment provides guidance for decision-making regarding the quality and efficiency of production in the food industry, from the perspective of practical significance.

ICIEOM2024_FULL_0057_37938

DEVELOPMENT OF A DISCRETE EVENT SIMULATION MODEL FOR EVALUATING A BLOOD SUPPLY CHAIN IN BRAZIL

ÁREA: ICIEOM2024 / 04.Healthcare Management
AUTORES: MIRIAM LUIZA DE JESUS RIBEIRO;LÁSARA FABRÍCIA RODRIGUES;LUIZ RICARDO PINTO;MURIEL MAZZIERO

blood supply chain, discrete event simulation, brazil

The blood supply chain has similar characteristics to the business supply chain. However, the social impact is even greater since inefficient management can lead to death or delay in medical procedures. In this way, making a blood supply network more efficient is extremely important to improve service to the population. However, there are few research involving blood supply chains in Brazil using Operational Research techniques. Therefore, this work seeks to evaluate the supply network of the state of Santa Catarina, managed by the Santa Catarina Blood Network (HEMOSC). To do this, we use data provided by HEMOSC for the period 2011-2020 and focus on analyzing the red blood cell (RBC) component. Discrete event simulation is used to represent the blood supply chain from blood collection to transfusion. The results show that the Chapecó and Joinville blood centers had the highest losses of bags due to expiration dates, and the Joaçava blood center had the highest shortage rate among the blood centers. The blood network is also facing challenges in meeting the demand for bags requested by reallocation, particularly in the supply of blood type O-. These results suggest the need to analyze alternative scenario configurations in future research.

ICIEOM2024_FULL_0056_38031

DIGITAL TRANSFORMATION IN SUPPORT OF LPG SUPPLY CHAIN MANAGEMENT

ÁREA: ICIEOM2024 / 03.Digital Transformation and Data Science
AUTORES: MARGARITA MATIAS ROBAINA;RITA CARPINTEIRO

digital transformation, oil and gas industry, supply chain management, industry 4.0

Digital transformation (DT) arises as a response to the challenges of the external, competitive, and unpredictable environment in which companies operate. This transformation allows to improve strategic capacity, customer experience, simplifying existing operational models and creating more efficient models. For this reason, within the energy sector, organizations have been increasingly seeking this transition where they reformulate their methods digitally, with the aim of facilitating and improving traditional processes. The main purpose of this paper is to verify digital transformation as an efficient response to the management of the LPG supply chain. In this sense, the objectives include understanding the impacts of this transformation as a gas supply chain management tool and how it helps the companies to face current challenges and improve their position in the market. From an economic point of view, the importance of DT is essentially due to two reasons: financial efficiency and market expansion. Distribution automation reduces operational costs, increasing the company's profitability. At the same time, the possibility of opening new points of sale creates opportunities to increase revenue. This drives resource optimization and waste reduction. Automation is expected to provide more efficient management of the necessary energy resources. Furthermore, offering a more precise and controlled distribution, it contributes to reducing energy waste associated with traditional logistics.

ICIEOM2024_FULL_0062_37925

DOMINANT DESIGN INNOVATION IN BUILDING PROJECTS

ÁREA: ICIEOM2024 / 09.Innovation, Product and Service Development
AUTORES: JULIANE SILVA DE ALMEIDA;CAROLINE RODRIGUES VAZ;FERNANDO ANTÔNIO FORCELLINI

dominant design, innovation, building project

Dominant design consists of outstanding innovation that promotes meaningful paradigm shifts, regarding the economic, social, and cultural aspects. Likewise, the Dominant design innovation is considered a technological reference in their sector. In regard to the civil construction sector, there are few reports in the literature about innovation, especially in building projects. Some of these reports do not demonstrate expressive participation of civil construction in the 4.0 industry. Additionally, the changes' perception of the civil construction activities is low by the sector workers. This paper aims to demystify the vision concerning the low level of innovation in the civil construction sector related to building project activity. To do this, we researched the literature references on the topic of dominant design innovations in building projects. Whereas founded, the dominant design innovations were identified and characterized. Thus, the paradigm shifts were listed. As a result of this paper, we found innovations classified as Dominant design in building project activity. We also noticed some innovations presented potential in turning Dominant design. However, they were still not classified as Dominant designs due to their absence of paradigm shifts. Hence, Building Information Modeling (BIM) and Lean Construction presented these features. Finally, this paper contributed to the importance of reporting the Dominant design innovation for monitoring trends in specific economic sectors.

ICIEOM2024_FULL_0059_37951

DYNAMICS OF THE COVID-19 IMPACTS AND POLICIES: THE CASE OF AN AGRI-FOOD SUPPLY CHAIN

ÁREA: ICIEOM2024 / 06.Humanitarian Operations Management
AUTORES: ANTONIO ANDREI PINHO BRAGA;LUIZA RIBEIRO ALVES CUNHA;BRENDA DE FARIAS OLIVEIRA CARDOSO;THARCISIO COTTA FONTAINHA;ADRIANA LEIRAS

supply chain management. performance management. disaster response. disaster management.

This research aims to analyze the impact generated by the COVID-19 pandemic in an agri-food supply chain (AFSC) case and the associated mitigation policies. We conducted a survey to evaluate the adherence of these impact variables and mitigation policies within an AFSC. Furthermore, we simulated the dynamics of a producer within the AFSC, through System Dynamics modelling. This paper evaluates the inherent sensitivity of supply chains to amplified production costs and disruptions in product delivery, which inevitably hamper the sales pace. It corroborates the anticipated negative repercussions stemming from escalating production costs and delivery inconsistencies. Additionally, the investigation reveals that investments in logistics policies exert a notable influence on sales rates, showcasing a positive correlation between increased investment and enhanced sales performance. The findings highlight the imperative for strategic investments and agile policy formulations tailored to the evolving necessities of agri-food supply chains in navigating crises and sustaining operational efficacy.

ICIEOM2024_FULL_0079_37908

ENERGY EFFICIENCY PROGRAMS IN BRAZIL: A SYSTEMATIC ANALYSIS THROUGH NATURAL LANGUAGE PROCESSING

ÁREA: ICIEOM2024 / 26.Quality and Reliability
AUTORES: ALANA LOPES JUNHO;ERIVELTON ANTONIO DOS SANTOS;CARLOS EDUARDO SANCHES DA SILVA;JULIANA HELENA DAROZ GAUDENCIO

energy efficient, certification, energy label, brazil, natural language processing.

This study seeks to understand the panorama of existing studies on energy efficiency, together with the regulatory bodies, and to compare these findings with the Brazilian reality. The growing emphasis on energy efficiency by government bodies is particularly notable in Brazil, which has set targets to save 11.57%of total electricity consumption by 2030. The originality of the work lies in comparing how the central themes explored by other authors in global contexts are applied to the Brazilian scenario. This approach is all the more relevant given the scarcity of studies on energy efficiency involving regulatory bodies and labelling in the national context. Through a systematic review of works related to the topic, using natural language processing to group them, we explored the nuances of the accumulated knowledge. The results include consumer understanding, the relevance of the label, the influence of the Energy Star labelling program and the economic benefits associated with using certified products. The energy label stands out as the main focus of the studies, both in terms of the information presented and the definition of energy classes. The studies analyzed show that the consumption of energy-efficient products has increased in Brazil. However, there is a need to improve consumer knowledge in order to optimize the impact of these initiatives. The main limitation of the results presented is the scarcity of studies dealing with the Brazilian context, which makes it difficult to obtain comparative information

ICIEOM2024_ABST_0079_38017

ENHANCING RESILIENCE IN 3D PRINTING OPERATIONS: A FRAM-BASED ANALYSIS OF MAINTENANCE SYSTEM VARIABILITY

ÁREA: ICIEOM2024 / 26.Quality and Reliability
AUTORES: PEDRO NICOLÁS YANNOULAS FAUSTO;ANDREA CRISTINA DOS SANTOS;RAFAEL ERNESTO KIECKBUSH

additive manufacturing, maintenance, fram, resilience engineering.

This study investigates resilience enhancement within a 3D printing farm through effective machine maintenance. Employing the Resilience Engineering approach, specifically the Functional Resonance Analysis Method (FRAM), the study examines the operational dynamics of a 35-machine I3D printer farm at the University of Brasília. Through interviews with the I3D farm members, critical maintenance-related issues were identified and utilizing FRAM, four key maintenance system resonance points were identified. To address these issues, strategic measures are proposed, wich effectiveness will be monitored through key performance indicators, including printer failure rate, time between maintenance interventions, machine downtime, and spare part availability. These actions aim to enhance the resilience and operational efficiency of I3D printer farms, contributing to the advancement of additive manufacturing technologies.

ICIEOM2024_FULL_0055_37889

ENHANCING RESILIENCE: A STOCHASTIC MATHEMATICAL MODEL FOR OPTIMIZING INVESTMENTS IN SUSTAINABLE REVERSE SUPPLY CHAINS

ÁREA: ICIEOM2024 / 02.Circular Economy and Sustainable Operations and Supply Chain Management
AUTORES: WESLEY DOUGLAS OLIVEIRA SILVA;MARCELE ELISA FONTANA;HUGO LEONARDO BELARMINO;NATALLYA DE ALMEIDA LEVINO;PEDRO D B C MARQUES

waste management, closed-loop supply chain, sustainable, resilience, lead-acid batteries.

The objective of this paper is to determine the effective allocation of financial resources in order to make resilient Sustainable Reverse Supply Chains (SRSC) that are subject to random interruptions. To this end, a stochastic optimization model was proposed that considers the resilient capabilities of absorption, adaptation and recovery, and it was applied in a supply chain in the southeast region of Brazil that deals with lead-acid battery waste by reintroducing it to the production cycle or for the business of recovering its value and minimizing environmental impacts. Hence, four scenarios were analyzed with different probabilities of disruptive events occurring so as to allocate investments. We found that the portion of the costs of the reverse supply chain that include post-event costs and penalties resulting from interruptions remains relatively constant between the different scenarios. However, when analyzing pre-disruptive event investments in alternative transport and purchase of waste from other chains, it was observed that restoring the supply of waste was reestablished well before the deadline for all experiments of lesser severity. This demonstrates the relevance of the proposed model in the decision-making process for investments in resilience involving an SRSC.

ICIEOM2024_ABST_0056_38009

EXPLORING THE OBJECTIVES BEHIND DIGITAL TWIN IMPLEMENTATIONS IN THE OIL & GAS INDUSTRY

ÁREA: ICIEOM2024 / 03.Digital Transformation and Data Science
AUTORES: DALTON GARCIA BORGES DE SOUZA;GUIDO VAZ;EDWIN BENITO MITACC MEZA;IARA TAMMELA;DANILO COLOMBO

digital twin; decision support systems; industry 4.0; oil & gas

A Digital Twin is defined as a digital representation of physical entities and processes, synchronized with the real world at a specific rate and level of detail. It represents either a conceptual or an existing physical entity, system, or process, acting as its digital counterpart. Designed to closely mirror a physical object, a digital twin integrates both real-time and historical data to depict its history, current state, and predicted behavior [1]. By leveraging data, digital twins mimic and integrate every characteristic of a physical object, person, or process in a virtual space, enabling superior decision-making and efficient action. Capable of replicating a wide range of real-world entities, from individual devices to entire urban areas, digital twins are applied in various sectors such as manufacturing, energy, and architecture [2]. In the Oil and Gas sector, digital twins are highly valuable for enhancing operational activities and providing insights into procedural workings. They offer a live, virtual model of physical assets or systems, built upon static and dynamic data, which allows for the emulation of real-world operations within a digital framework, thereby supporting faster and more informed decisions. This technology is crucial in optimizing output, advancing intelligent asset control, and integrating data from diverse sources, thus significantly enhancing operational effectiveness and productivity. With the Oil and Gas industry adopting advanced technologies like AI, IoT, Big Data, and cloud computing, digital twins emerge as a transformative technology that can refine processes and provide a comprehensive understanding of assets [3, 4]. This research aims to identify the main objectives behind the adoption of DTs in the O&G sector, using a systematic literature review that adopts the PRISMA framework; We screened studies to extract relevant data on DT implementations. Our focus was on articles that explicitly discuss the objectives of DT applications in the O&G industry, analyzing the content to categorize these objectives into three main themes. After reviewing a sample of 31 articles that develop case studies on the utilization of DTs in O&G, we observe three major groups of objectives. The first objective, Monitoring, Control, and Management, encompasses the use of DTs for the continuous surveillance, oversight, and administration of O&G operations and assets. It involves the integration of real-time data with geometric or procedural projections to enhance the precision and efficiency of data processing. The goal is to maintain an up-to-date representation of physical assets or processes, allowing for real-time management and decision-making based on current data. This category underscores the vital role of digitization in planning and executing directional drilling, managing drilling operations, production, and the maintenance of equipment and infrastructure. Monitoring, Control, and Management are the main goals of 29% of the analyzed papers. The second objective, Optimization, involves DTs in improving pipeline design, energy efficiency, and drilling operations using AI and real-time data analysis. This includes strategic planning for Field Development Planning (FDP) to maximize returns, enhancing drilling efficiency, optimizing natural gas treatment stations for hydrocarbon recovery, reducing energy consumption, and employing automation technology for operational efficiency and tool longevity. Optimization of outcomes and resources is the main goal of 38% of the analyzed papers. The third objective, Prediction, underscores DTs' critical role in maintaining operational integrity by diagnosing failures in subsea production control systems, providing maintenance forecasts to prevent failures, and supporting proactive interventions. DTs enable continuous monitoring for effective asset management, utilize hybrid data analysis for real-time condition monitoring, and facilitate risk-based inspection

ICIEOM2024_ABST_0057_37975

IMPROVING OPERATION ROOM OCCUPANCY THROUGH LEAN AND DATA SCIENCE: IMPLEMENTATION IN AN ONCOLOGY HOSPITAL

ÁREA: ICIEOM2024 / 04.Healthcare Management
AUTORES: GUILHERME HERNANDES GARCIA SANCHEZ;MATEUS FREDERICO DE PAULA;LUIS GUSTAVO CAPOCHIN ROMAGNOLO;FABIO PITORRI;ELAINE ALVES DE JESUS

operational efficiency, operation room, lean methodologies

This abstract explores enhancing operation room occupancy in a oncology hospital through Lean Healthcare and data science, addressing strategies to improve surgery scheduling and resource allocation. It highlights Brazil's healthcare challenges, with over 1 million patients awaiting surgery and low operation room utilization. By integrating Lean principles to eliminate waste and utilizing advanced data analytics for strategic planning, the study achieved significant improvements, including an 11% increase in elective surgeries and reduced waiting times, showcasing the potential for scalability and applicability in other healthcare settings.

ICIEOM2024_FULL_0060_37937

INDUSTRIAL AUTOMATION,TECHNOLOGY AND AND ANALISY OF NECESSARY MATURITY

ÁREA: ICIEOM2024 / 07.Industry 4.0/5.0
AUTORES: FRANCISCO ANDRADE;MARCIO ALVES SUZANO;LUIS CLAUDIO BERNARDO MOURA

5g mobile technology; automation; industry 4.0

The theme of this article is revealing the major change in production schemes for industry 4.0, with the development of technologies that involve concepts of Cyber-Physical Systems (CPS Cyber-Physical Systems), Internet of Things (IOT) and Big Data, supported by communication networks and connectivity with 5G Mobile Technology, and microeconomic concepts applied in production. Methodology: The methodology used was the application of a mental research map, together with the company's management, to demonstrate the points that need to be synchronized in the company, to implement industry 4.0 automation, in order to achieve the objectives of technological evolution in production . Result: The main results of the research show the company's needs to evolve in some items mentioned in the challenges for industry 4.0 of the National Confederation of Industry, 2016, providing gains in the quality and quantity of production and, simultaneously, offering better prices to consumers. Conclusion: Automation not only affects production itself, replacing manual labor with robots and computerized machines, but also provides enormous productivity gains by integrating different tasks with project development, administrative management and production. This work aims to provoke a discussion regarding the main technical points of application of the Microeconomic concept in technological advancement aimed at industry 4.0 and 5G Technology, and in training in automation aimed at a new attitude of the engineer, more creative and with the necessary skills in terms of multidisciplinarity and integration.

ICIEOM2024_ABST_0068_38036

INTEGRATING REINFORCEMENT LEARNING AND DISCRETE EVENT SIMULATION FOR ENHANCED PRODUCTION SCHEDULING

ÁREA: ICIEOM2024 / 15.Operations Strategy Planning, Scheduling and Control
AUTORES: ARTHUR SANTANA DA SILVA;PEDRO AMARAL PEREIRA;EDUARDO FELIX DE SIMAS MAUGER CANOVA;MANOEL CARLOS PEGO SAISSE;ANDREA REGINA NUNES DE CARVALHO

production planning, reinforcement learning, discrete event simulation.

Production scheduling involves planning activities and allocating resources to meet customer demands effectively. Real production scheduling problems tend to be very complex due to the large number of variables, constraints and objectives (which can occasionally conflict with one another) involved. Automated approaches, like simulation-based systems utilizing Discrete Event Simulation (DES), can be useful in reducing the weight of these complexities. DES may mimic real-world production systems as logically separated processes occurring at specific times, subjected to a set of constraints that can be adjusted according to the environment being simulated. But, even with the assistance of DES, defining the set of operational decisions that will lead to the best production schedule, according to the objectives of the organization, remains a challenge, especially considering the explosive combinatorial nature of production scheduling problems. To address this challenge, Reinforcement learning (RL) has been combined with DES, notably in the context of Industry 4.0. Since, in RL, the learning process resembles the DES approach when the human agent goes through a process of trial and error to guarantee the highest possible reward (the best result from a combination of performance indicators), an expected result is the extraction of knowledge about which actions must be taken (which dispatching rules must be chosen to which machines) when a certain scenario (a state in RL) is identified. This study refers to an experimental project that integrates a finite capacity DES-based technology with RL to support production scheduling. Differently from most strategies proposed in the literature, where the RL algorithms are trained to define each task allocation to resources individually, throughout the execution of the DES, the agent evaluates alternative production schedules built by the DES based on different operational decisions (such as dispatching rules) in search of the best set that will lead to the enhancement of the pursued objectives. Starting from a reference DES system, the project was organized into three phases: RL modeling, implementation of the DESRL based model, and case study experimentations. The DES system considered in this study equip schedulers with the capability to build alternative schedules by simulating the application of operational decisions such as prioritizing production orders, adjusting capacity (e.g., through overtime, subcontracting), leveraging flexibility (e.g., reallocating tasks to alternative resources), and adapting material availability and promised delivery dates (e.g., renegotiating delivery dates with suppliers or customers). Diverse performance indicators such as service level, lead-time, operational costs, and resource utilization are calculated at the end of each simulation run. To emulate this relationship between the human scheduler and the DES system, at each loop, the agent takes one or more actions in the form of operational decisions. After the simulation run, a reward is calculated and awarded to the agent. Presently, the range of actions available to the agent is limited to prioritizing tasks. This involves determining which task will be processed when multiple tasks compete for the same resources at the same moment of the planning horizon. The value of the reward provided to the agent is based on the overall profit calculated by de DES. The state representation was modeled as a vector with n positions, where the first n/2 positions refer to prioritizing production orders and the second half deprioritizing these orders. Each position denoted a particular task to be scheduled. A toy case study was conducted to test the DES-RL based model involving a job shop environment with 5 machines and 5 production orders with different routings, comprising 24 activities, all competing for the same 5 machines. M

ICIEOM2024_FULL_0060_37945

INTEGRATION OF GENERATIVE AI MODELS AND DIGITAL TWIN WITH LEAN MANUFACTURING PRINCIPLES: BIBLIOMETRIC STUDY

ÁREA: ICIEOM2024 / 07.Industry 4.0/5.0
AUTORES: MARIANNYS RODRIGUEZ GASCA;SANDERSON CESAR MACEDO BARBALHO;MARCOS ALEXANDRE GALDINO

industry 4.0, lean manufacturing, generative artificial intelligence models, digital twin, kaizen, generative models, bibliometric study

The evolution of production systems towards flexibility, customization, and traceability of processes, driven by the demands of the global market, has led companies to adopt both technological and organizational tools to improve productivity, boost economic growth, and guarantee industries' sustainability and operational excellence. Industry 4.0 and Lean manufacturing, although they are two approaches that use different strategies, also share common principles and objectives that, combined, seem to satisfy the aforementioned requirements. The article develops a bibliometric study that explores theoretical frameworks and research trends of two specific Industry 4.0 technologies in continuous improvement scenarios. The study's objective is to specifically find the existing associations between applications of generative Artificial Intelligence models and Digital Twin and Lean Manufacturing principles focused on kaizen. The results reveal significant contributions from leading countries such as China, the United States, and Germany. Additionally, periods of research growth and prominent authors with diverse interests aligned with the study's focus are identified. Finally, the findings suggest that the concept of digital twins has greater progress in practical applications for implementations in the industry, while the concept of generative models is still in a phase where studies focus on analyzing technological solutions. associated with the maturation of the concept.

ICIEOM2024_ABST_0069_37891

INTRODUCING CONDITIONAL EXPECTED LOSS: A NOVEL METRIC FOR RISK INVESTMENT ANALYSIS

ÁREA: ICIEOM2024 / 16.Project Management
AUTORES: JOSÉ DONIZETTI DE LIMA;RÔMEL DA ROSA DA SILVA;GÉREMI GILSON DRANKA;MATHEUS HENRIQUE DAL MOLIN RIBEIRO;LUIZ FERNANDO PUTTOW SOUTHIER

capital investment, monte carlo simulation, value at risk, conditional value at risk, conditional expected loss

Inadequate investment decision-making can compromise an organization's financial health. Various methods, techniques, and methodologies exist for analyzing the economic and financial viability of an Investment Project (IP) involving real assets. The finance literature strongly emphasizes the importance of formally considering risks in investment analysis. IPs with limited managerial flexibility and significant uncertainties are often assessed using Monte Carlo Simulation (MCS). Key sources of uncertainty in an IP, such as revenues, discount rates, costs and expenses, taxes, and depreciation, can be used as input variables for the MCS. A more in-depth examination of MCS-generated results can provide valuable insights to enhance decision-making processes. One crucial aspect overlooked in the literature is the absence of an indicator that estimates the expected value in case of financial insufficiency. This paper proposes the introduction of the Conditional Expected Loss (CEL) metric to fill this gap. CEL aims to estimate the expected value of a financial deficit during IP execution offering a comprehensive summary of potential losses in case of financial deficit. The CEL metric is particularly relevant for IPs characterized by limited managerial flexibility and a higher probability of financial deficit. When the probability of the NPV falling below zero approaches zero, the CEL metric also tends toward zero, distinguishing it from previous research primarily focusing on computing Conditional Value at Risk (CVaR) at 95% or 99% confidence levels. In contrast, CEL considers the probability of NPV being < 0, representing the average of losses beyond this threshold. Through a simulated case study and extensive numerical modelling, we demonstrate the applicability of CEL. This novel metric enhances risk analysis and decision-making by evaluating financial insufficiency in investment projects with limited managerial flexibility and a higher likelihood of financial deficits. The major contributions of this study include: (i) the development of an additional indicator useful to evaluate financial deficits in Ips, along with its application in a simulated case study to demonstrate the utility of the CEL indicator, and (ii) extensive numerical modelling of CEL, including mathematical proof and implementation of the developed indicator in a free web tool named $AVEPI® (System for Economic Viability of Investment Projects). Future research can explore CEL?s application in other IPs and compare it with alternative risk measures.

ICIEOM2024_FULL_0055_38008

MODELING THE DYNAMICS OF URBAN MINING E-WASTE IN THE CITIES: A SYSTEM DYNAMICS PERSPECTIVE OF RIO DE JANEIRO'S CASE

ÁREA: ICIEOM2024 / 02.Circular Economy and Sustainable Operations and Supply Chain Management
AUTORES: PABLO LUIZ BERRIEL DO CARMO TEóFILO;NíSSIA CARVALHO ROSA BERGIANTE

e-waste, urban mining, system dynamics.

Electronic devices such as smartphones are becoming obsolete faster and faster due to growing technological advances. Coupled with the increased consumption of these electronics is the improper disposal of e-waste, discarding valuable metals such as gold and silver into the trash every day, making it a global problem due to its exponential growth. Urban mining has emerged as a proposal to change the current production cycle, from producing, and discarding, to a model where part of the discarded resources can be reused, remodeled, and returned to the production cycle. This paper proposes a systemic vision using System Dynamics to understand the systemÂ?s structure, relationships between its variables, behaviors, and feedback loops. Based on 34 variables selected from literature, the Causal Loop Diagram was constructed, indicating the existence of five feedback loops (one of which is equilibrium, and four of which are reinforcements), aiming to support the effectiveness of future strategies for enabling Urban Mining of e-waste generated by smartphones in the city of Rio de Janeiro. Limitations inherent in the understanding of the e-waste generation system point to future opportunities of research that could feeds back into the model with data from real-world approaches, contributing to the solution of the problem and then reinforcing the importance of this research for economy, society, and environment.

ICIEOM2024_FULL_0067_38007

OPTIMIZATION OF THE LOGISTICS CHAIN IN THE EXPORT OF FOOD PRODUCTS USING CONCEPTS OF TRANSPORTATION PROBLEMS

ÁREA: ICIEOM2024 / 14.Operations Research
AUTORES: MARCELO CARNEIRO GONÇALVES;BELKIS FREHSE KARAM;IZAMARA CRISTINA PALHETA DIAS;LUIS EDUARDO SILVA WEAVER;PEDRO NICOLÁS YANNOULAS FAUSTO

logistics, operational research, transports, cost minimization.

Companies face significant challenges in managing their distribution networks, especially due to the complexity and constant variations in planning parameters, such as production quantity and fluctuating product sales. In this scenario, finding the optimal decision regarding quantities and distribution routes of finished products becomes a crucial yet challenging task. To address this complexity and uncertainty, the use of mathematical models, such as minimum-cost flow models based on operations research, emerges as a valuable approach. This study proposes a mathematical model of minimum-cost flow adapted to assist in decision-making related to distribution routes of food products from a large company to the international market. After collecting data from the export process, company data were gathered, processed, and applied to the model using the LINGO software. The results revealed an optimal solution, identifying the best routes and quantities of products to be transported with the lowest total cost possible. This model demonstrates promise for integration into companies' distribution planning, providing significant efficiency and cost savings.

ICIEOM2024_ABST_0071_37952

OPTIMIZING EXTENDED WARRANTY OFFERINGS: A CONSUMER-CENTRIC APPROACH IN A COMPETITIVE MARKET

ÁREA: ICIEOM2024 / 18.Service Operations Management and Servitisation
AUTORES: MEHDI;HOSSEIN ZOLFAGHARINIA

extended warranty service; service contract; pricing strategies; stackelberg game; consumer choice model

Bundling warranty services with durable products is a prevalent strategy adopted by manufacturers and service providers across various industries (Zhang et al., 2020; Wang et al., 2021; Hu et al., 2022), not only to safeguard consumers against potential failures but also to serve as a signal of product quality in the market (Jiang & Zhang, 2011; Wang et al., 2021). Extended Warranty Service (EWS), also known as Service Contract (SC), extends beyond the base warranty, providing broader protection that consumers can purchase separately. While manufacturers typically offer SC as EWS, third-party service providers (TSPs) also enter the market, providing consumers with alternative options (Desai & Padmanabhan, 2004; Li et al., 2012; Rahman & Chattopadhyay, 2015; Durugbo, 2020). Consequently, consumers can opt for the manufacturerÂ?s SC or the TSPÂ?s Service Plan (SP). While similar in nature, SC and SP may differ in duration and coverage, with the preference leaning towards SP that matches or exceeds the SCÂ?s attributes. This dynamic landscape presents challenges and opportunities for manufacturers and TSPs, particularly in effectively pricing their products and services to maximize profitability. The manufacturer must jointly determine product and SC prices, considering market conditions and TSP behavior. Furthermore, considering manufacturer decisions, TSPs must decide on SP breadth and price. They could adopt two possible strategies in the competitive market: focusing on price and maneuvering on service breadth. The former aims to provide a service that is the same as the SC but with a lower price, while the latter focuses on providing a more prolonged or broader service. As such, three service policies could be defined by the TSP: (1) Standard Service Plan (SSP), (2) Advanced Service Plan (ASP), and (3) Both standard and advanced Service Plans (BSP). Therefore, the practical questions that both players have to answer are: How should the manufacturer set the productÂ?s price and SC maximize her profit? What is the optimal SP policy? In other words, should TSP offer an SP equivalent to the manufacturerÂ?s SC (SSP) or a more comprehensive SP (i.e., either ASP or BSP)? How should the TSP determine its service prices considering the manufacturerÂ?s pricing decisions? Although the benefits of base and extended warranty services have received extensive attention, research on EWS policy-making is limited in the literature. These studies can be categorized based on different parameters. Supply chain structure is one factor that can be used to categorize the extant studies. From this perspective, the literature can be classified into three groups. The first category includes a manufacturer selling a product and offering the EWS (e.g., Liu et al., 2020; Liu et al., 2021; Ai et al., 2022; Shang et al., 2022). The second category assumes that the EWS is offered by a provider without considering the manufacturer (e.g., Taleizadeh & Mokhtarzadeh, 2020; Wang et al., 2021; Huang et al., 2022). Finally, the third category considers both manufacturer and service provider in their analyses (e.g., Tang et al., 2020; Hu et al., 2022; Zhang et al., 2022; Liu et al., 2022). An overview of the literature reveals that the competitive market was investigated in fewer studies due to its complexity (e.g., Heese, 2012; Bian et al., 2019; Hu et al., 2022; Liu et al., 2022). Despite the investigation of the pricing policy for EWS, to the best of our knowledge, consumer characteristics (i.e., risk attitudes and loyalty) have not been incorporated in developing pricing policies. Furthermore, pricing policy development, while considering market competition and service breadth, has not been considered in the literature. Additionally, although the significant impact of the SP on the SC has been addressed in the literature (e.g., Jiang et al., 2011; Wang et al., 2021), the combined effect of service policy and price has not been investigated. To capture custome

ICIEOM2024_FULL_0054_37976

PERCEIVED QUALITY AND CONSUMER SATISFACTION IN ELECTRICITY SERVICES: A STUDY OF BRAZILIAN COMPANIES

ÁREA: ICIEOM2024 / 01.General Topics of Production and Industrial Engineering
AUTORES: ANNY KEY DE SOUZA MENDONçA;JEOVANI SCHMITT;DALTON FRANCISCO DE ANDRADE;ANTONIO CEZAR BORNIA

perceived quality. consumer satisfaction. aneel consumer satisfaction index. item response theory.

The supply of electrical energy is essential for the socioeconomic development of Brazil, affecting several sectors and the population's quality of life. This study analyzes the results of measuring the quality perceived by consumers in the services provided by electricity distributors in the country, using a scale constructed using Item Response Theory (IRT). The objective is to identify satisfaction results in different regions and offer insights to improve the services provided by distributors. The methodology included the analysis of data collected using the perceived quality scale, allowing an assessment of consumer perception. The results revealed that 0.28% of consumers expressed dissatisfaction with the services provided, while 15.31% were indifferent, 67.88% were satisfied and 16.53% were very satisfied. It is noteworthy that in the South region, consumers were more satisfied, with RGE Sul Distribuidora de Energia S.A. recognized as the concessionaire with the best perceived quality. Among all regions, CPFL Santa Cruz stood out among the concessionaires with more than 400 thousand consumer units, while Mux Energia stood out among the concessionaires with up to 400 thousand consumer units. The assessment of consumer perception plays a fundamental role in the sector's development, highlighting the importance of prioritizing perceived quality to meet market expectations and drive advancements in the field.

ICIEOM2024_FULL_0079_37986

PERFORMANCE MEASUREMENT SYSTEMS: A BIBLIOMETRIC ANALYSIS

ÁREA: ICIEOM2024 / 26.Quality and Reliability
AUTORES: BRENA SILVA;ROBERTO ANTONIO MARTINS

pms, maturity model, performance measurement.

Performance measurement systems (PMS) may present different levels of evolution in different organizations. The model that represents the different levels of evolution of a certain research topic is known as a maturity model. The maturity models for PMS can help managers in the area, who can identify what level a certain organization is at, as well as what is needed for it to evolve the level of maturity in an efficient, effective, and sustainable way, achieving strategic goals. Due to the importance of the subject, this article presents an overview of the existing theory about the maturity models of performance measurement systems. To achieve this goal, a bibliometric analysis was developed in the Web of Science (WOS) database, to investigate the main publications, journals, research terms, and authors. The references with the greatest impact on the subject are Sivaraman and Trivedi (2013), Becker, Knackstedt, and Pöppelbuss (2009), Palmarini et al. (2018), Aghaeepour et al. (2013), and Akyuz and Erkan (2010). the most cited references are Bititci et al. (2015), and McCormack, Ladeira, and Oliveira (2008). The most used search terms are performance measurement and performance maturity. The results found show that the publications on the subject are growing and the result of the most used keywords showed that academics interesting in search maturity PMS evolution associated with ?industry 4.0?, ?SMEs?, ?sustainability?, and ?management?.

ICIEOM2024_ABST_0054_38052

POPULAR ENGINEERING IN THE STATE OF AMAZONAS: WORK, TERRITORY AND SUSTAINABILITY

ÁREA: ICIEOM2024 / 01.General Topics of Production and Industrial Engineering
AUTORES: MOISÉS ISRAEL BELCHIOR DE ANDRADE COELHO;RUTE HOLANDA LOPES;BRUNO DUARTE DE OLIVEIRA;JOEL CASTRO DO NASCIMENTO

popular engineering, ergonomics, work.

Popular engineering realizes that there is no single development model, that the world is diverse, with different cultures, and different realities, and that it is necessary to think of plural solutions. Among the guiding principles of popular engineering practice are: popular education; self-management; social and environmental justice; recognition and dialogue between different popular, traditional, and academic knowledge (Alvear et al., 2020). In the collective sphere, the prescription of collective work takes the form of work coordination, in contrast to effective collective work, which generally moves significantly away from coordination, taking the form of cooperation (Dejours, 2022). The territory has become a new frontier for the ergonomist who engages in a ?making of a milieu? (Robert & Béguin, 2024). The territory is a terrain of actors capable of engaging together, of cooperating to develop and implement solutions (Du Tertre, Vuidel & Pinet (2019). The territory is the place of ?belonging?, according to Zaoual (2003, 2006) the ?symbolic site of belonging? is a space of practical beliefs adjusted to local circumstances. Its transversality articulates the culture of the actors in the situation, with society and the environment. Regarding methodology, the ergonomic and social interventions presented are being developed in three municipalities (Manaus, Itacoatiara, and Silves) in the state of Amazonas/Brazil. The interventions come from a perspective of transforming the working conditions of the groups advised through the centrality of the work of the ergonomics of the activity (Daniellou, 2004; Falzon, 2007). The methodology of ergonomic action originated in French-language ergonomics (Laville, 2007), with a special focus on activity-oriented approaches (Daniellou & Rabardel, 2005), which seek to favor consideration of real work, with a dual objective of knowledge production and action in the world aligned with the transformation of work (Guérin et al., 2001). The intervention in Manaus and Itacoatiara takes place with two associations of recyclable material collectors and the intervention in Silves takes place with a sustainable extractivist association for the development of products (soaps, candles, oils, among others) from species native to the Amazon region. In Manaus, there is also an intervention with two associations of organic producers who have properties close to Manaus and sell them at organic fairs in the city. All associations have as common characteristics the predominance of associated women, mixed race, of advanced age (over 45 years old), and with links to traditional and/or ?ribeirinhas? populations. Among the main results of ergonomic and social interventions are the identification of initiatives related to production, marketing, and consumption in each territory; field visits to understand the scope of the work, the current difficulties faced, and how these associations interact with other actors in the territory. A survey of the system of actors in the territories was carried out and actions were implemented to bring associations and different consumers closer together. It is observed that ergonomic and social interventions adopt reflective practice, allowing the construction of knowledge and ?savoir-faire? based on cooperation ?based on debates? (Mollo & Nascimento, 2016) so that associations learn through experience. It is observed that the interventions seek new sustainable economic models through the collective co-construction of new sources of income for these associations, providing decent work, valuing the territory, culture, and cooperation (Du Tertre, 2013, Zaoual 2003, 2006, Robert & Béguin, 2024). In this scenario, work is not just a monetary resource, on the contrary, work is an important dimension that makes life possible in these territories and that enables the transition of these populations within a process of economic, social, and environmental transformation through work.

ICIEOM2024_FULL_0060_37979

PROCESS SIMULATION IN INDUSTRY 4.0: VALIDATION OF ASSET ADMINISTRATION SHELL COMMUNICATION

ÁREA: ICIEOM2024 / 07.Industry 4.0/5.0
AUTORES: LEANDRA KAROLINA BATISTA LEAL;ATILA MARTINS LUCAS;ISAQUE VILSON BATISTA DA COSTA;FRANCISCO ASSIS BARROS DE OLIVEIRA;ROBERTO HIGINO PEREIRA DA SILVA

industry 4.0, rami 4.0, asset administration shell (aas), computational simulation

Industry 4.0 represents a paradigm shift in the industrial revolution, driven by technologies like the Internet of Things (IoT), Cyber-Physical Systems (CPS), cloud computing, and big data. In this context, the Reference Architecture Model for Industry 4.0 (RAMI 4.0) and Asset Administration Shell (AAS) emerges as pivotal in standardizing integration and communication for the development and deployment of intelligent systems. This article explores the implementation and integration of RAMI 4.0 and AAS concepts through a practical case study conducted in a laboratory setting. Specifically, the study focuses on the communication between AAS and their corresponding assets: a Collaborative Robot and a Laser engraver, both virtualized in Flexsim®, a discrete-event simulation software. Emphasizing the significance of interoperability and efficient communication in smart production processes, practical tests conducted using Flexsim® validate the logic and efficiency of key aspects within a robotic station, offering valuable insights for system enhancement. The study underscores the significance of simulated tests as a prerequisite for real-world implementation of Industry 4.0 and AAS concepts based on the RAMI architecture

ICIEOM2024_ABST_0074_38051

PRODUCTION ENGINEERING AND SCIENTIFIC DIVULGATION IN THE MIDDLE AMAZON

ÁREA: ICIEOM2024 / 21.Teaching and Learning in Industrial Engineering and Operations Management
AUTORES: MOISÉS ISRAEL BELCHIOR DE ANDRADE COELHO;SANDRO SIMAS DE JESUS;KATIANE CAMPOS NOGUEIRA VIEIRA;MATHEUS ALMEIDA BELCHIOR DE ANDRADE COELHO

scientific divulgation, production engineering, amazon.

The pandemic required scientific journals to adapt to fake news. Scientific divulgation about COVID-19 has become an objective response by scientists to the denialist movement, which casts doubt on the effectiveness of vaccines, sabotages prevention measures and propagates miraculous cures. At this point and given the climate of narrative dispute, it is important to remember that science does not propose to be absolute truth, it is just a means to reduce uncertainty (Sayão, Sales & Felipe, 2021, Mansur et al., 2021, Moreira, 2020). With the communication revolution promoted by new technologies, scientific divulgation (SD) is being transmitted on a large scale through different media and aimed at different audiences. SD is a way of democratizing knowledge, by using a language that is more accessible to society than that of scientific study (Lima & Giordan, 2021, Porto, Oliveira & Rosa, 2018). In this context of SD, the ?Diálogos sobre Itacoatiara? project began in May 2021 with the proposal to discuss social, geographic, and economic aspects, as well as future reflections about the city of Itacoatiara located 265 km from Manaus/AM. This event took place as an initiative of the ?Biblioteca on? project, which is an initiative of the library of the Hard Sciences and Technology Institute (ICET), linked to the Federal University of Amazonas (UFAM), and occurred due to remote activities during the pandemic. Therefore, this project was justified by the need to expand actions involving scientific divulgation in the Middle Amazon. In this scenario, the ?Dialogues sobre Itacoatiara? met the needs of 2021 to 2022, in a pandemic scenario, however, there was a need for expansion seeking greater rapprochement with local society in the municipalities that make up the middle Amazon (Nhamundá, São Sebastião do Uatumã, Urucará, Silves, Itapiranga, Careiro, Itacoatiara and Parintins), historically, lacked such knowledge. As a result, the ?Diálogos Itinerante Itacoatiara (DII)? appears in February 2023. The DII is now coordinated by the Research Center for Economics, Technology, Management, and Innovation (NETGI), linked to the production engineering course at ICET/ UFAM. Therefore, this research aimed to create a favorable environment for discussion and scientific divulgation of studies carried out in the sphere of the production engineering course at ICET/UFAM, encouraging the dissemination of scientific, and technological knowledge, innovation, and culture in accessible language. to society in the middle Amazonamaz. DII's target audience is the general population of these municipalities, with special attention to women (fostering scientific careers) and popular organizations (encouraging the rapprochement between production engineering and popular movements). As for the methodology, the proposal for this project was configured as a qualitative activity, where the existence of a dynamic relationship between the real world and the subject is considered, that is, an inseparable link between the objective world and the subjectivity of the subject that does not can be translated into numbers. A holistic perspective of the CD phenomenon was sought, having direct contact with the objective of the study (Silva & Menezes, 2005, Gummesson, 1991, Miles & Huberman, 1994). As for the results, the DII began with the creation of an environment (acquisition of materials and equipment) for the development of digital content to disseminate research in production engineering to the population of the Middle Amazon. Next, the development of DII's visual identity took place with the participation of a student from the design course at the Faculty of Technology (FT/UFAM); all projects that were and were being developed by ICET's production engineering course were mapped, from scientific initiation projects, technological initiation, extension to research projects with public and/or private funding. At the same time, coordination began with various actors (municipal

ICIEOM2024_FULL_0070_37910

PROPOSAL OF A DIGITAL MATURITY MODEL FOR E-COMMERCE CARRIER

ÁREA: ICIEOM2024 / 17.Retail Operations
AUTORES: NICOLLAS LUIZ SCHWEITZER DE SOUZA;DAVI DOS REIS TERRA;ENZO MOROSINI FRAZZON;MAURÍCIO RANDOLFO FLORES DA SILVA

e-commerce, logistics, digital maturity.

This research sought to build a digital maturity model applied to e-commerce courier companies, defining current tendencies and necessities in the market. The model is constituted of 6 domains based on the e-commerce consumer journey, utilizing a 1 to 5 scale to evaluate qualitative concepts to quantitative measures, in 35 indicators, observing criteria from every phase of the on-line buy where logistics fulfills a major role, such as freight bidding, package tracking and sending order data to the courier. A digital maturity matrix of the carriers of the Brazilian e-commerce segment was obtained, highlighting in the evaluations of each component the characteristics of this logistics segment, with potential pains and more consolidated phases of the market. The sample of carriers evaluated (11) concentrates a large portion of the most relevant carriers in the Brazilian e-commerce transportation market, but still does not have the largest share of the market.

ICIEOM2024_FULL_0059_38002

ROOT CAUSE ANALYSIS OF PPE SHORTAGES DURING THE COVID-19 PANDEMIC

ÁREA: ICIEOM2024 / 06.Humanitarian Operations Management
AUTORES: MÁRCIA MARCONDES ALTIMARI SAMED;BEATRYZ DE ALMEIDA ALCANTARA;ISABELA ANTUNES DE SOUZA LIMA

ppe shortages, supply chain disruptions, covid-19, root cause analysis, healthcare supply chain.

The COVID-19 pandemic triggered a surge in demand for personal protective equipment (PPE) worldwide, such as masks, gloves, and hand sanitizer gel, leading to significant disruptions in the supply chain. This research investigates the root causes of these disruptions, aiming to provide insights into the challenges faced during the pandemic. Through a comprehensive literature review and employing Root Cause Analysis methodology, this study unveils the multifaceted factors contributing to the disruption of the PPE supply chain. The analysis reveals the interconnected nature of these issues, emphasizing the need for strategic supply chain management. The findings underscore the importance of diversified supplier networks, the establishment of safety stocks, and enhanced crisis response strategies to ensure the continuous availability of PPE. Additionally, the study highlights the significance of public education and responsible purchasing behaviors to mitigate disaster-related buying behaviors defined by Holguín-Veras et al. (2023) and promote equitable access to essential equipment. Insights derived from this research offer critical implications for crisis response strategies, emphasizing preparedness, collaboration, and supplier network resilience. Future research directions encompass exploring distribution efficiency, technological innovations in inventory management, supply chain resilience, economic impacts, sustainability, consumer behavior, international cooperation, and public education strategies, all aiming to fortify supply chain management and enhance PPE availability during crises.

ICIEOM2024_FULL_0055_37970

SDGS AND SUPPLY CHAIN INDICATORS - A STUDY OF BRAZILIAN COMPANIES SUSTAINABILITY REPORTS

ÁREA: ICIEOM2024 / 02.Circular Economy and Sustainable Operations and Supply Chain Management
AUTORES: GLÉLCIO AUGUSTO MARTINS;RAQUEL PEIXOTO MARTINS;SYNTIA LEMOS COTRIM;EDWIN VLADIMIR CARDOZA GALDAMEZ;GISLAINE CAMILA LAPASINI LEAL

esg, djswi and sustainable development goals.

An increasing concern among companies about the impacts of their operations and services has been noted currently, mainly in the Supply chain, which is an interconnected journey that encompasses the entire company, from raw materials to final sale. In this context, ESG is an emerging concept to achieve sustainable development. Within this corporate responsibility context, tools and metrics have emerged to assess and guide companies' commitment to sustainable practices, and sustainability reports emerged for companies to disseminates information about the impacts on the environment, society, and the economy, and can also help in setting goals and monitoring sustainable performance. This paper aims to understand how Brazilian companies listed on the DJSWI approach the supply chain in their sustainability reports, identifying the ESG indicators and the related SDGs. Brazil is very relevant, considering it has the world's largest tropical forest, richest biodiversity, and a large population. The results highlight 10 companies included in the gold, silver, and bronze classes of DJSWI, 52 indicators found, 10 SDGs met at the first moment and 18 new sub-indicators proposed meeting 9 SDGs. The results showed that incorporating sustainable practices in the supply chain not only improves company performance but also contributes to achieving the SDGs and moving towards a more sustainable world.

ICIEOM2024_FULL_0055_37888

SIMULATION AND SIZING OF A PHOTOVOLTAIC MODULE MANUFACTURING PLANT

ÁREA: ICIEOM2024 / 02.Circular Economy and Sustainable Operations and Supply Chain Management
AUTORES: RAFAEL FRANCISCO SCHLINDWEIN ODISI;CAROLINE RODRIGUES VAZ

production engineering, photovoltaic module, sustainability

The search for alternative energy sources, motivated by the need for new energy matrices, has resulted in strong technological advances, aiming at the use of renewable resources with the aim of providing sustainability and saving natural resources. The objective of this project is inserted in this context, seeking to analyze in a sustainable way a simulation and dimensioning of a photovoltaic module manufacturing plant. In this way, each step related to the module's production process will be developed and explained, from the flow of materials, interconnection diagrams per line and diagram per block. Additionally, develop the floor plan and 3D sketch of the manufacturing area. The results were satisfactory, after the simulations the manufacturing plant met the daily production requirements, producing a total of 720 units/day. For transport and electrical energy costs, high data were obtained as it requires a high demand for energy to keep the production line running, but there are sustainable solutions to resolve this high expenditure on electrical energy and will be addressed throughout the study.

ICIEOM2024_FULL_0068_38028

SMART INDUSTRIAL PRODUCTS? ROLE IN ACHIEVING CROSS-FUNCTIONAL INTEGRATION: INFORMATION PROCESSING THEORY LENS FOR AN UNIFIED FRAMEWORK

ÁREA: ICIEOM2024 / 15.Operations Strategy Planning, Scheduling and Control
AUTORES: PAULO EDUARDO PISSARDINI;MOACIR GODINHO FILHO

cross-functional integration, information processing theory, smart industrial products.

Currently, Smart Industrial Products and their embedded technologies are driving unprecedented efficiency and organisational sustainability. This study aims to provide a unified framework for seamless SIPs adoption, employing a mixed-method approach comprising a Systematic Literature Review, Expert Interviews, and Interpretive Structural Modelling. The results identify barriers, capabilities, and through ISM, illuminate Cross-Functional Integration facilitated by interfunctional synergy. The discussion offers insights into a unified framework for SIPs adoption, contributing to Information Processing Theory by providing an unified framework that helps to understand the cognitive process involved in Cross-Functional Integration. Overall, the proposed framework serves as a strategic tool for managers to enhance SIPs' autonomy efficiently.

ICIEOM2024_FULL_0076_37949

SPATIAL ANALYSIS OF TRAFFIC ACCIDENTS ON FEDERAL HIGHWAYS IN THE STATE OF ALAGOAS

ÁREA: ICIEOM2024 / 23.Transport System Engineering
AUTORES: JOÃO VÍTOR DE OLIVEIRA SANTOS;JONHATAN MAGNO NORTE DA SILVA;LUCAS GOMES MIRANDA BISPO

road accident, georeferencing, moran index

Brazil is among the countries with the highest mortality rates related to traffic accidents. The State of Alagoas, in turn, has seen significant increases in its fleets in recent years, and as a result, traffic problems have intensified. Therefore, this study aims to conduct a spatial analysis of federal highways in the State of Alagoas to identify critical municipalities where traffic accidents occur. Based on records of road accidents between 2014 and 2018, we conducted an exploratory analysis of spatial data and georeferencing using Geographic Information Systems (GIS). In this context, choropleth maps and the Moran index (I) were used, with a significance level of 5%, to observe and associate factors related to accidents, such as causes, phase of the day, and severity. The factors that presented the most significant univariate spatial autocorrelation were total accidents (I=0.345), lack of attention and keeping a safe distance (I=0.339), dangerous overtaking (I=0.336), slippery road (I=0.270), ingestion of alcoholic beverages and psychoactive substances (I=0.268), disobeying traffic rules (I=0.259), late-night (I=0.338) and serious injuries (I=0.300). The maps showed a high incidence in BR-101, BR-104, and BR-316 for georeferencing. Therefore, it is concluded that the northeast region of the State of Alagoas, with the municipalities of Pilar and Rio Largo, are the critical regions and locations for traffic accidents, respectively.

ICIEOM2024_FULL_0055_37924

SUSTAINABLE DEVELOPMENT GOALS (SDGS) IN BIOTECHNOLOGY COMPANIES: AN ASSESSMENT OF THE SUSTAINABILITY REPORTS

ÁREA: ICIEOM2024 / 02.Circular Economy and Sustainable Operations and Supply Chain Management
AUTORES: HEITOR DELIVIO SANCHES SALINAS;LARISSA CAROLINE DE BRITO;SYNTIA LEMOS COTRIM

sustainable development goals, biotechnology companies, gri sustainability reports, pandemic response, materiality analysis, sdg reporting.

This paper investigates the portrayal and execution of Sustainable Development Goals (SDGs) within the biotechnology sector through an analysis of Global Reporting Initiative (GRI) sustainability reports. It explores how biotechnology companies prioritize and invest in SDGs pre and post the COVID-19 pandemic, assessing a sample of reports from top 100 biotech firms. Findings reveal prevalent use of materiality matrix approaches and SDG mentions in reports, but limited alignment with standardized identification methods, signaling a lack of transparent reporting structures. Specifically, a meager focus on SDG-related initiatives during the pandemic is evident, with only 26% of reports addressing this crucial aspect. Despite a gradual increase, a substantial gap remains in these reports, emphasizing the necessity for more comprehensive and structured SDG reporting strategies in the biotech industry. This study contributes to understanding and enhancing SDG reporting practices in the sector, aiming to better align these companies with global sustainability goals.

ICIEOM2024_FULL_0055_37935

SUSTAINABLE ENGINEERING MANAGEMENT BASED ON ABSOLUTE ENVIRONMENTAL SUSTAINABILITY THEORY FOR ADDRESSING CLIMATE CHANGE AND PARTICULATE MATTER FORMATION IMPACTS IN SOLID BIOFUELS PRODUCTION

ÁREA: ICIEOM2024 / 02.Circular Economy and Sustainable Operations and Supply Chain Management
AUTORES: GABRIELA GIUSTI;ANTONIO CARLOS FARRAPO JUNIOR;EDUARDO VIEIRA DE CAMPOS;YARA DE SOUZA TADANO;DIOGO APARECIDO LOPES SILVA

planetary boundaries, biomass, sustainable engineering

There has been a recent growth in global demand for low-carbon energy resources, such as solid biofuels, replacing their petroleum-based equivalents in industry. However, there is a gap about the absolute sustainability theory applied to the operations management of these energy systems. This research aimed to assess the Absolute Sustainability Rate (ASR) of five Brazilian solid biofuel systems: eucalyptus charcoal briquettes (S1), urban pruning briquettes (S2), eucalyptus residual wood pellets (S3), peanut residues pellets (S4), and pinus residual wood pellets (S5). The methodology approach combined Life Cycle Assessment with Planetary Boundaries, allocating the global safe operating space for production systems, and calculating the ASR focusing on climate change and health effects due to particulate matter. System S5 was the only absolutely sustainable for both assessed impacts, especially due to CO2 absorption of land use change and energy co-generation. Conversely, S1 was not sustainable for none of the environmental categories, particularly due to the impacts of charcoal production. The study concluded that renewable energy sources are not necessarily absolutely sustainable, but can provide various environmental benefits when compared to equivalent fossil sources. The ASR results, focusing on climate change, highlighted the economic potential of these systems in the global carbon market. However, mitigating actions are relevant to avoid impacts in other categories, such as effects on population health. The ASR indicator and its methodology adopted by this paper can be expanded to promote more sustainable engineering management in the energy and other relevant industrial sectors in Brazil.

ICIEOM2024_FULL_0069_37922

SUSTAINABLE PROJECT MANAGEMENT: AN INDEX TO PROJECT EFFICIENCY WITH SOCIAL INVESTMENT

ÁREA: ICIEOM2024 / 16.Project Management
AUTORES: CAMILA DE ARAUJO;LIE YAMANAKA;VANDA MARIA LUCHESI

project sustainability, social responsibility, project earning, efficiency index

This paper aims to propose an index of project efficiency linked to project profit and social investment in order to promote the sustainable development of organizations and society. In this sense, we aim to establish a sustainable relationship between project management and social sustainability, which plays a crucial role in the implementation of future organizational change. To develop the proposal – Index of Project Efficiency with Social Sustainability, we use the Design Science Research method, with 5 stages (problem identification and motivation, objectives of a solution, design and development, demonstration and evaluation). To demonstrate and evaluate the proposal, a case study was conducted in which the efficiency of a project without social investment was compared to the efficiency with social investment. With the new index, this study showed that it is possible to achieve financial efficiency with social gains by calculating the efficiency index of the project with social investment. In summary, this study presents two important contributions: a new concept of "sustainability FROM the project" that relates an investment in sustainability measures to the financial gains from the project, and a way to focus on the social aspect of the triple bottom line based on corporate social responsibility.

ICIEOM2024_ABST_0056_38034

THE METHODOLOGIES EMPLOYED IN THE CONCEPTION OF DIGITAL TWINS

ÁREA: ICIEOM2024 / 03.Digital Transformation and Data Science
AUTORES: GUIDO VAZ SILVA;DALTON GARCIA BORGES DE SOUZA;RODOLFO CARDOSO;IARA TAMMELA;DANILO COLOMBO

industry 4.0; digital twin, oil and gas industry.

The Oil and Gas industry operates in a highly regulated environment due to the inherent health, safety, and environmental risks associated with its activities. Recently, it has been under increasing pressure to optimize its operations in pursuit of better economic performance, as lower oil prices have been in effect for a considerable period. This scenario has led to emerging technologies, associated with Industry 4.0, being perceived as important solutions to improve the relations between revenues, risks, and operational costs. One of the technologies that promises more benefits and, consequently, generates more expectations is the Digital Twin (DTs). DTs are digital models of physical assets resulting from integration that allows the mirroring between the physical and digital worlds to collect, process, visually display, simulate data to improve or automate decisions in pursuit of improvement in operational and strategic results (WANASINGHE, et al., 2020). The present article analyzed methodological approaches for the conception of DTs within the scope of the main activities of the oil and gas industry - exploration, drilling, production, processing, and distribution -, based on articles found in academic and non-academic databases using a systematic literature review that adopts the PRISMA framework, in search of a synthesis of generic stages for its conception (ROWLEY & SLACK, 2004). The article search was conducted from August 1 to December 31, 2023. This process began with a search for publications that included keywords related to "Digital Twin," "Digital Model," and "Environment Model," along with specific terms to the oil, petroleum, and gas sector. This process culminated in the filtering of 66 articles with relevant content on the development or application of DTs. Among these articles reviewed, a high diversity of strategies and approaches in the conception of DTs was identified, with low detail. Some articles prioritize presenting the final architecture diagram, structure or model of the conceived DT over the sequence of steps for its construction. Among these, only 6 articles scrutinize more clearly the step-by-step construction of the DT, enabling a panoramic view of the main stages. Several factors may explain the diversity of observed approaches. Firstly, the relative novelty of the DT research and application domain may contribute to the lack of established reference methods. Secondly, within the examined sample, a significant number of articles authored by individuals of the oil and gas industry were identified, with a greater emphasis on presenting the final solution rather than delving into methodological details related to the design of the DT solution. Thirdly, the sample revealed variations in DT types and application objectives, naturally leading to differing working methods. The primary aspects outlined in the analyzed articles facilitate a more detailed delineation of the main stages, aiming to propose a methodological sequence for the development of a DT for oil well completion systems (CAMARA DIT PINTO et al., 2021; LIANG et aL., 2023; SINGH, et al. 2019; MENDOZA, et al., 2021): (i) Diagnosis and Architecture Design: Specific objectives for the DT in well completion are identified, along with functional and non-functional requirements necessary to achieve these objectives. The processes involved in well completion are understood and documented, and physical assets such as valves, pipes, and equipment that will be digitally represented are identified. Digital Asset Development: 3D modeling software is utilized to create precise digital representations of the physical assets involved in well completion; (ii) Contextual Data Integration and Processing: the types of sensors required to collect real-time data are determined, and these sensors are integrated with physical assets to monitor relevant parameters. The connectivity infrastructure is established to enable communication between sensors, ph

ICIEOM2024_FULL_0062_37932

THE VALUE OF SMART HOME FEATURES IN THE BRAZILIAN CONTEXT

ÁREA: ICIEOM2024 / 09.Innovation, Product and Service Development
AUTORES: DIEGO CASTRO FETTERMANN;DÉBORA ROSA NASCIMENTO

intelligent home, stated preference, willingness to pay, internet of things, and survey

The conversion of conventional household products and services into smart alternatives has emphasized the utilization of technologies that facilitate communication between devices and other systems. Despite the numerous benefits that various smart home functionalities offer to users in their daily lives, recent research has shown that certain solutions can diminish the perceived value of the overall system. This article presents a decision-making tool aimed at assisting practitioners in evaluating the economic value of different smart home features. A model, estimated based on a sample of 255 respondents from the southern region of Brazil, indicates the Willingness to Pay for each smart home feature. The findings reveal that safety devices and household resource meters are the features for which Brazilian customers exhibit the highest willingness to pay, highlighting an opportunity to integrate these solutions into new home designs.

ICIEOM2024_FULL_0057_37886

TOWARDS METROLOGICAL BEST PRACTICES IN RADIATION PROTECTION

ÁREA: ICIEOM2024 / 04.Healthcare Management
AUTORES: MARIA DO CÉU LOPES DE SOUSA FERREIRA;TEEMU SIISKONEN;MILOS ZIVANOVIC;GUIDERADPROS CONSORTIUM

dosimetry, metrology, radiation protection, iso 4037.

This paper presents the state of the art and expected impact on metrology, health, standards, and society of the new joint research project ? 22NRM07 GuideRadPROS, started in June 2023 and is running for 36 months. The main objective is to provide technical guidance to metrology institutes, standardization bodies, regulators, and manufacturers for a harmonized approach to calibration, testing, and measurements using the radiation protection dosimeters for photon radiation. Moreover, manufacturers and standardization bodies will be helped to prepare for the forthcoming change in radiation protection quantities. The results of this research project will facilitate the take up of the technology and measurement infrastructure developed and consequently will ensure the improvement of the measurement supply chain from the manufactures to the end users. New guides and new protocols provided by this research will represent a contribution towards best metrological practices in radiation measurements in line with technological developments and requirements from standardization. This project was selected for funding through the European Partnership on Metrology program of the European Commission and the participating countries. It involves several participants from national metrology institutes and designated institutes and a private company.

ICIEOM2024_FULL_0067_38006

TRANSPORT COST OPTIMIZATION IN A BEVERAGE COMPANY USING LINEAR PROGRAMMING METHODS

ÁREA: ICIEOM2024 / 14.Operations Research
AUTORES: MARCELO CARNEIRO GONÇALVES;ANA JULIA MACHADO DE SOUZA;IZAMARA CRISTINA PALHETA DIAS;LUIS EDUARDO SILVA WEAVER;PEDRO NICOLÁS YANNOULAS FAUSTO

logistics, operational research, transports, cost minimization.

Organizational transformations are progressively evolving into phenomena characterized by heightened dynamism and complexity. Consequently, the pursuit of competitive differentiators within operational frameworks has become a ubiquitous imperative among contemporary enterprises. Within this paradigm, Operations Research (OR) assumes a pivotal role in facilitating the management of logistical and production systems through the application of mathematical methodologies for problem abstraction and modeling. It is widely acknowledged as a cornerstone in optimizing distribution channels, thereby fostering informed decision-making processes that yield consequential cost efficiencies for organizations. Aligned with this ethos, the present study endeavors to employ linear programming methodologies within a beverage industry setting. Its principal objective is the optimization of logistical distribution processes, achieved through the minimization of associated costs. This entails a meticulous examination of distribution flows, market demands, and pertinent operational constraints. Subsequently, the formulated mathematical model is applied to the transportation problem domain, culminating in the derivation of an optimal solution for the organization's logistical distribution network. This facilitates the identification of the most efficacious means of product conveyance to clientele. The empirical findings of this endeavor attest to a model proficient in effecting a reduction of 42.9% in total transportation costs incurred during the conveyance of goods from the production facility to clientele situated within the Curitiba and Metropolitan regions.

ICIEOM2024_FULL_0080_37962

WATER AND ELECTRICITY CONSUMPTION FORECASTING AT AN EDUCATIONAL INSTITUTION USING MACHINE LEARNING MODELS WITH METAHEURISTIC OPTIMIZATION

ÁREA: ICIEOM2024 / 27.Machine Learning
AUTORES: EDUARDO LUIZ ALBA;MATHEUS HENRIQUE DAL MOLIN RIBEIRO;GILSON ADAMCZUK OLIVEIRA;ERICK OLIVEIRA RODRIGUES;FLAVIO TROJAN

water consumption, electricity consumption, educational institution, genetic algorithm, random forest, support vector regression

Educational institutions are essential for economic and social development. Budget cuts in Brazil in recent years have made it difficult to carry out their activities and projects. In the case of expenses with water and electricity, unexpected situations can occur, such as leaks and equipment failures, which make their management challenging. This study proposes a comparison between two machine learning models, Random Forest (RF) and Support Vector Regression (SVR), for water and electricity consumption forecasting at the Federal Institute of Paraná - Campus Palmas, with a 12-month forecasting horizon, as well as evaluating the influence of the application of climatic variables as exogenous features. The data were collected over the past five years, combining details pertaining to invoices with exogenous and endogenous variables. The two models had their hyperparameters optimized using the Genetic Algorithm (GA) to select the individuals with the best fitness to perform the forecasting with and without climatic variables. The absolute percentage errors and root mean squared error were used as performance measures to evaluate the forecasting accuracy. The results suggest that in forecasting water and electricity consumption over a 12-step horizon, the Random Forest model exhibited the most superior performance. The integration of climatic variables often led to diminished forecasting accuracy, resulting in higher errors. Both models still had certain difficulties in predicting water consumption, indicating that new studies with different models or variables are welcome.

ICIEOM2024_FULL_0060_37972

WHAT SHOULD BE DONE TO PREPARE WORKERS FOR THE FOURTH INDUSTRIAL REVOLUTION? A REVIEW OF THE READINESS FOR THE DIGITAL TRANSFORMATION

ÁREA: ICIEOM2024 / 07.Industry 4.0/5.0
AUTORES: CARLA DINIZ S SILVA;LINO MARUJO

employee readiness, future of work, 4ir

The fourth industrial revolution (4IR) impacts business models and processes in all sectors worldwide. It is not enough to be efficient only dealing with sales, storage, logistics, and services; it is also essential to use data to reach greater competitiveness. Despite that, advanced manufacturing ? combining digital technologies, robotics, IoT, and data analytics ? is still in the early stages, and Brazil lags behind those OECD countries in this area. Accordingly, is the impact of innovation, especially digital transformation, over the future of work and, therefore, over the Workers. However, according to the OECD, more than 50% of Brazilians have not attained secondary education, and 17% have not completed primary education. Low skills prevent Internet users and workers from using digital technologies effectively and from benefiting from them, thus creating a second-level digital divide. The digital transformation and 4IR literature provide several studies to measure the maturity of organizations in implementing digital technology but lack frameworks for digital readiness, especially employee readiness. Based on a systematic literature review, this study maps the primary constructs related to the theme to propose a framework for preparing workers and to be used for future quantitative approaches and surveys.