ICIEOM2023_FULL_0035_37691
5G TECHNOLOGY AND THE ECONOMIC IMPACT ON INDUSTRY 4.0 (A MICROECONOMIC ANALYSIS)
ÁREA: ICIEOM2023 / 05.Human development and digital training for operation management in emergencies
AUTORES:
FRANCISCO JOSE CURVELLO DE ANDRADE;MARCIO ALVES SUZANO;LUIS CLAUDIO BERNARDO MOURA
10.14488/ijcieom2023_full_0035_37691
5g mobile technology, industry 4.0, microeconomic
The theme of this article addresses the 5G telecommunication system available for use in society, in the industrial area and in technological advances in the production process. The connectivity provided by Fifth Generation telecommunications technology solves bottlenecks generated by industry communication services and all business sectors. This work aims to provoke a discussion about the main technical points of application of 5G Mobile technology and the Microeconomic concept in the technological advance aimed at industry 4.0. 5G will be a critical part of an enterprise's new operating environment and technology stack in the future, but to realize the potential productivity and efficiency gains that this technology can deliver, leaders need to start taking a strategic approach to implementation now, as that 5G technology is already a reality and is being tested in several nations around the world, as well as in Brazil. We know that our country, due to bureaucracy, high state regulation and low investment in research, has a considerable scientific and technological backwardness in relation to developed countries. The high regulation and bureaucracy of the Brazilian state slows down the process of technological development in our home with an impact on the productive and economic sector. We also show in this article the maturity analysis used in companies and the projection of potential GDP (Gross Domestic Product) until 2030.
ICIEOM2023_FULL_0031_37690
A DECOMPOSITION SCHEME IN PRODUCTION PLANNING BASED ON LINEAR PROGRAMMING THAT INCORPORATES THE CONCEPT OF A DYNAMIC PLANNING ENVIRONMENT
ÁREA: ICIEOM2023 / 01.General Topics of Production and Industrial Engineering
AUTORES:
IZAMARA CRISTINA PALHETA DIAS;RAIMUNDO JOSÉ BORGES DE SAMPAIO;RAFAEL RODRIGUES GUIMARãES WOLLAMANN;MARCELO CARNEIRO GONçALVES;ELPIDIO OSCAR BENITEZ NARA
10.14488/ijcieom2023_full_0031_37690
production planning, clearing function, linear programming.
The present work proposes a decomposition scheme in production planning based on linear programming, which couples the concept of clearing function and supposes a dynamic environment to plan a production along a planning horizon. Where planning parameters such as demand, production capacity, production resources, and other parameters change over the planning horizon. In general, this requires the planner, freeze the production plan for some blocks of periods or rethink the production plan of each period, with obvious implications on production planning costs. The Plan shall be designed and implemented in the following way: At the beginning of any period of the planning horizon, from the first, a set of decisions on a production is taken based on available information under a supervision of a decision support system represented by the mathematical model that acts according to the latest available information, period to period. This mechanism suggest that the number of planned periods is from de order of n squared, much larger than the number of periods to be performed, because for each execution period, the remainder of the planning horizon is re-planned. The scheme we are proposing in this paper addresses this drawback and provides a lower cost solution to this production planning problem. This proposed scheme is implemented by an algorithm which is analyzed in detail and after, numerically illustrated.
ICIEOM2023_ABST_0044_37747
A FRAMEWORK FOR INTEGRATED DECISION-MAKING IN RAILROAD NETWORKS
ÁREA: ICIEOM2023 / 14.Operations Research
AUTORES:
RESHMA CHANDRASEKHARAN;RAJESH NATARAJAN V
10.14488/ijcieom2023_abst_0044_37747
railroad networks, integrated models, optimization
Railroad networks are capital intensive operations that involve interaction between thousands of dynamic entities while constrained by a fixed set of limited resources such as tracks, trains and platforms. Mathematical programming models have been used to allocate and operate resources efficiently and effectively but are applied separately at various levels of the decision making hierarchy namely, operational, tactical and strategic. The primary contribution of this work is an integrated framework for railway optimization and through preliminary analysis and experiments we show that decision-making can be improved by holistic examination rather than creating and solving stand-alone siloed operational models.
ICIEOM2023_FULL_0032_37806
A PROPOSAL FOR THE INTEGRATION OF THE CIRCULAR ECONOMY AS AN OBJECTIVE OF PRODUCT PORTFOLIO MANAGEMENT
ÁREA: ICIEOM2023 / 02.Circular Economy and Sustainable Operations and Supply Chain Management
AUTORES:
DANIEL JUGEND;BRUNO MICHEL ROMAN PAIS SELES
10.14488/ijcieom2023_full_0032_37806
new product development; circular economy; product portfolio; innovation portfolio management; sustainable design
Despite the circular economy (CE) being one of the most promising approaches for the operationalization of sustainable development, little is known about its links with product portfolio management (PPM). Adding to the objectives already established within the literature on PPM, this article, through a theoretical proposal, aims to contribute to the contemporary debate by proposing ?circularity? as one of the performance objectives for PPM. This new objective considers the resource cycle strategies of CE and proposes, in the early phases of new product development, portfolio evaluations that consider product project aspects such as: updating potential, emotional durability, the application of sensors and internet of things, and the use of renewable materials and energy.
ICIEOM2023_ABST_0037_37823
AN ANALYSIS OF THE GUIDELINES FOR TRAINING MANAGERS TO IMPROVE THEIR INDUSTRY 4.0 KNOWLEDGE CONSIDERING FOUR THEORIES OF ADMINISTRATION
ÁREA: ICIEOM2023 / 07.Industry 4.0 and Cyber physical systems
AUTORES:
GUSTAVO TIETZ CAZERI;TIAGO FONSECA ALBUQUERQUE CAVALCANTI SIGAHI;IZABELA SIMON RAMPASSO;LUIS ANTONIO DE SANTA-EULALIA;ROSLEY ANHOLON
10.14488/ijcieom2023_abst_0037_37823
industry 4.0; training; management; general theories of administration
Advances in production systems have stimulated the need for organisations to remain competitive. Quick responses of the productive systems are characterised as an essential element due to the globalised market marked by constant changes. In particular, the last years have been characterised by the digitisation and innovation of processes and business models, also known as the fourth industrial revolution or Industry 4.0 (KUSIAK, 2018). Development and training programs related to disseminating and implementing concepts associated with Industry 4.0 have become imperative in this scenario. Human knowledge development on the Industry 4.0 theme is gaining increasing prominence, making it necessary to identify and analyse the most appropriate and efficient ways to transfer knowledge to professionals in training (HELMING et al., 2019).
The paper titled ?Main Challenges and Best Practices to Be Adopted in Training for Industry 4.0? identified the main challenges and validated the best practices to be adopted in training for managers not skilled with the subject in a broad view. In addition, the paper titled ?Training for Managers Not Skilled in Industry 4.0 Basis: What is the Most Suitable Content to Be Covered?? validated the content to be offered in training for the target audience mentioned. In a complementary way, in this study, we analysed the guidelines proposed in the papers mentioned above, considering Four Theories of Administration: Organizational Development Theory, Sociotechnical Theory, Contingency Theory, and Ambidextrous Theory. The main considerations are presented below.
Regarding the Organizational Development Theory, Beckhard (1969) argues that this theory valorises the analysis of the internal and external environments and, to understand the main aspects and processes, makes use of the behavioural sciences, values, strategies and techniques oriented to changes in the work environment. The main purpose is become the organisation more effective and adaptable to changes. The guidelines presented in the aforementioned paper are aligned with the theory mentioned since they help managers unfamiliar with Industry 4.0 concepts to think about the main changes in the business model of their companies, break some possible misconceptions on the subject, such as the perception that the adoption and application of Industry 4.0 is a quick and standardised process, that the concept of industry 4.0 is only applied to the reality of large companies, among others.
Concerning Sociotechnical Theory (RICE, 1958), the training guidelines presented in the mentioned papers also align with the technical and social subsystems. The contents discussed in the more specifical pillars of Industry 4.0, such as Smart Factory, Systems Integration, Modularity, Decentralization, Smart Products, and Product Customization, among others, help the manager to understand the subject related to the technical subsystem. On the other hand, the other training contents help the manager understand aspects, such as the impact caused by Industry 4.0 changes on employee behaviour. This framework provides managers an interesting reflection on changes in their companies, aligned with Sociotechnical Theory principles.
The results of the mentioned papers were also debates considering the Theory of Contingency concepts. In this theory, it is presented an organisation's relationship with the environment, showing the existence of a functional relationship of the ?if-then type" between the conditions of the environment and the appropriate administrative techniques for the effective achievement of the organisation's objectives (BURNS; STALKER, 1961; LAWRENCE; LORSCH, 1967; WOODWARD, 1965). Specifically, regarding the analysed papers, the authors defined guidelines. In this way, the aspects of training managers can be deepened and detailed according to the type of organisation and specific characteristics of the target audience. In this way, a functional relationship be
ICIEOM2023_ABST_0051_37779
ANALYSIS OF GENDER AND PROGRAMMING EXPERIENCE AS MEDIATORS BETWEEN ATTITUDES TOWARD PROGRAMMING AND COMPUTATIONAL THINKING AMONG ENGINEERING STUDENTS
ÁREA: ICIEOM2023 / 21.Teaching and Learning in Industrial Engineering and Operations Management
AUTORES:
ISOTILIA COSTA MELO;CAROLINA ROJAS-CÓRDOVA;PAULO NOCERA ALVES JUNIOR;ÍTALO DONOSO;ARIEL AREYUNA
10.14488/ijcieom2023_abst_0051_37779
education in stem; digital literacy; programming classes
Researchers are constantly looking for more efficient ways to encourage students' development of Computational Thinking (CT) skills in programming classrooms, particularly for Science, Technology, Engineering, and Mathematics (STEM) courses, because of the ongoing integration of the virtual and real worlds. Instructions for kids should concentrate on enhancing their internal attitudes toward programming (PA) to improve CT. In addition, PA differ by programming experience (PE) and gender. However, there is a gap in the literature on developing CT skills among college students. This study examines the connection between PA and CT skills among engineering students, considering the impact of gender and PE. In 2022, we modified a scale initially for children and conducted a survey to gather information. One hundred seventy-one first-year students from a university in Chile made up the sample. The gathered data were statistically examined using structural equation modeling (SEM) and hierarchical regressions. Results indicated that there is still a considerable gender difference in PE. Women lacked PE, whereas men did. Men demonstrated greater PA and CT abilities. Considering the five PA components, ?self-efficacy? is relevant and predicts CT skills in men favorably. While ?social needs? is important and predicts CT skills negatively in women. Discussion is held regarding the implications of fostering CT skills and a pro-programming mindset in engineering courses. It is advised to hold specific events in the early years of engineering school to pique women's interest in learning programming. Especially those that encourage women to participate in programming and help them gain confidence regularly.
ICIEOM2023_ABST_0042_37731
APPLICATION OF THE SUGENO-TAKAGI-KANG FUZZY LOGIC FOR DEMAND FORECASTING IN THE SUPPLY CHAIN, A FUZZY TEMPORARY SERIES FORECAST MODEL (FTS) PROPOSAL
ÁREA: ICIEOM2023 / 12.Logistics and Supply Chain Management
AUTORES:
FRANCISCO TREJO;RAFAEL TORRES ESCOBAR
10.14488/ijcieom2023_abst_0042_37731
fuzzy logic, forecasting, supply chain, sugeno-takagi-kang
Abstract. Forecasting is not an easy task; the time series analysis area has always represented a challenge for those who intend to do it. Resource anticipation and planning have great importance in decision-making, practically in any area of the economy, manufacturing, work, agriculture, tourism, and of course, supply chain sectors. There are many forecasting methods that often require innumerable statistical analyses. However, most of the systems have unreliable information where there is great uncertainty. This is why the application of fuzzy logic in time series foretelling represents a choice to overcome the uncertainty of the supply chain. As a result of this investigation, we found that applying the Sugeno-Takagi-Kang of fuzzy logic method, we have found that this model can obtain better prediction results, especially for data of small sample sizes (>20 records). The paper presents a methodology for incorporating limited or incomplete data into a modified Sugeno-Takagi-Kang model applied in the supply chain area and propose a Fuzzy temporary series forecast model. This model also incorporates the knowledge and experience from the user experts, which allows to enhance the results with qualitative experience than otherwise would be considered. Metric for calculating the forecasting error and evaluating its performance was: mean absolute percentage error (MAPE). The results obtained exceed other models and methodologies such as: seasonal or temporary index or even data mining, which requires a very superior amount of information, obtaining barely better or marginally results (5.1%). The results show that the prediction ability of the grey prediction with Fuzzy temporary series forecast model is better than traditional approach, especially if we consider the amount of data available.
ICIEOM2023_FULL_0037_37762
ARTIFICIAL INTELLIGENCE APPLICATIONS FOR DEFECT DETECTIONS IN INDUSTRIAL PROCESSES: A BIBLIOMETRIC ANALYSIS
ÁREA: ICIEOM2023 / 07.Industry 4.0 and Cyber physical systems
AUTORES:
DIOGO GOMES DE SOUSA BEZERRA;SANDERSON CÉSAR MACÊDO BARBALHO;MARCELO BECKER;DIEGO CESAR FLORENCIO DE QUEIROZ;LEONARDO ANANIAS DE LIMA FELIPPE
10.14488/ijcieom2023_full_0037_37762
deep learning, machine learning, bibliometric analysis
Artificial intelligence algorithms, especially machine learning and deep learning techniques, are increasingly present in our daily lives, often presenting performance evolutions and new applications. With the advent of new technologies and the so-called industry 4.0, applications in industrial and manufacturing processes are increasingly present. This work aims to stipulate a theoretical scope and trends regarding the works that emphasize AI applications in industrial and production processes. It was carried out a bibliometric analysis (using VOSViewer software) of scientific publications linked to terms such as machine and deep learning, associated with terms that show applications in the detection of failures and errors, of products and procedures, in industrial and manufacturing processes. The study ranged articles from 2015 to 2022 in the Scopus and Web of Science databases.
ICIEOM2023_FULL_0043_37828
BUSINESS PROCESS MANAGEMENT AND DIGITAL INFORMATION AND COMMUNICATION TECHNOLOGIES IN PUBLIC SECTOR
ÁREA: ICIEOM2023 / 13.Operations in the Public Sector
AUTORES:
VITOR DA SILVA PALACIOS;RENATO DE CAMPOS;JOSÉ DE SOUZA RODRIGUES
10.14488/ijcieom2023_full_0043_37828
business process management, digital information and communication technologies, public university. digital transformation.
Business Process Management (BPM) supports business processes by means of methods, techniques and software applications to project, analyze, and control processes. Integration of themes between Process Management, Digital information and communication technologies (DICT) and the Public Sector is increasing in the literature. Such an approximation is also present within the strategies of governments, enacted laws, as well as in legislative initiatives that aim to use management practices supported by technologies with a view to sustainable administrative, financial and budgetary control and development. This work aims a systematic review of the literature e descriptive bibliometric analysis to identify the current scenario with respect to themes as BPM, DICT and Sector Public, with the intention of contribute with the literature. As a result, the lack of research on the application of BPM in the public sector was confirmed. The main correlated themes, the main authors of publications and countries of origin, as well as other characteristics, were identified. In the analysis of the literature review, it was identified the need to deal with multidisciplinary aspects involving the application of BPM, and the need to properly use DICT to overcome barriers and obtain greater gains in these applications in the public sector.
ICIEOM2023_ABST_0032_37755
CAN THE VALUE CHAIN OF MINING TIRES BE CIRCULAR?: THE CASE OF CHILEAN MINES
ÁREA: ICIEOM2023 / 02.Circular Economy and Sustainable Operations and Supply Chain Management
AUTORES:
ISABEL MARGARITA ORDENES SARABIA;CAROLINA ROJAS CÓRDOVA;CONSTANZA CRUZ ROJAS;SEBASTIÁN HERRERA LEÓN
10.14488/ijcieom2023_abst_0032_37755
circular economy, mining scrap tires, supply chain, paradoxes, pyrolysis, retreading.
The manufacturing of low-carbon technologies requires more metals and minerals than the manufacturing of conventional fossil fuel technologies (The World Bank, 2020). Therefore, the production of metals and minerals becomes crucial for the effective transition towards decarbonization, a key element for achieving the sustainable development worldwide. However, increasing the demand for metals and minerals results in the generation of different and massive wastes such as mining scrap tires. In fact, today the mining industry is one of the world's leaders? generators of mining scrap tires (Oyola-Cervantes & Amaya-Mier, 2019). A typical mining truck tire have a height of around 4 meters, which exceeds 70 times the diameter of a conventional passenger transport tires. Moreover, mining truck tires have a useful life of only seven months, and they are commonly disposed in stockyards after their use. In other words, due to non-stop production of metals and minerals and the short lifespans of mining truck tires, vast quantities of mining scrap tires have been accumulated in stockyards that can be seen even from the space (Australia's Mining Monthly, 2019).
Taking into consideration this problem, it is critical to assess how to transform from a linear value chain of mining truck tires to a circular value chain (Reike et al., 2018). In the scientific literature, several investigations have been focused on evaluating technologies that can extend the useful life of tires or recycle them. For instance, some researchers have proposed that tires can be retreaded for extending their use ( Leung & Wang, 2003a), incinerated for producing energy (Machin et al., 2017a), or recycled for recovering materials through pyrolysis (Alam & Qiao, 2020; Machin et al., 2017b), gasification (Kaur et al., 2021; Leung & Wang, 2003b; Machin et al., 2017c) or liquefaction processes (R. Chen et al., 2022; Nkosi et al., 2021). Other investigations have evaluated the environmental, economic, and social impacts of the use of these technologies (Bowles & Fowler, 2022; Chen et al., 2022; Goksal, 2022; Valenzuela-Levi, 2021). However, all these investigations have focused on assessed the transformation of conventional scrap tires. To the best of our knowledge, there are scarce or even inexistent researches focused on assessed the transformation of mining scrap tires.
Conventional and mining tires differ in composition, materiality, and size. In the case of mining tires, the exact material composition of the tires is managed confidentially by the manufacturing companies (Essadiqi, 2005). Regarding materiality, a mining tire mostly has natural rubber to support the tons of ore transported by long distances. On the other hand, a conventional tire prioritizes the use of synthetic rubber to improve grip on asphalt at high speeds. Finally, depending on the size, mining tires have a size above 57 inches, while conventional tires have a size below 57 inches. These differences mean that the results of investigations focused on conventional tires cannot be directly apply to mining tires.
To shed light on this gap, this research aims to assess the opportunities, challenges, and impacts of the transition from a linear to a circular value chain of mining scrap tires that involves sharing, leasing, reusing, repairing, refurbishing, and recycling existing materials from mining tires as long as possible. To achieve this aim, we have considered a case study of mining companies operating in Chile. We interviewed different actors of the value chain of mining tires, such as manufacturers and consumers. Opportunities and challenges were identified using an inductive and recursive analysis of these interviews. In addition, we used a set of indicators to quantified technical and environmental impacts of the implementation the technologies supporting the transition to a circular value chain.
The results of this investigation contribute to researchers and practitioners related to the mining
ICIEOM2023_FULL_0040_37678
CIRCULAR AND SUSTAINABLE PRODUCTIVE PROCESSES: AN APPROACH TO THE PRACTICES ADOPTED IN THE INDUSTRIAL POLE OF MANAUS-AM
ÁREA: ICIEOM2023 / 10.Last Mile Delivery Optimization
AUTORES:
THIAGO AZEVEDO CONTE DE MELO;MARCELO ALBUQUERQUE DE OLIVEIRA;MARCELO SILVA PEREIRA;FABIANA DAVID GOMES DE OLIVEIRA;GABRIELA DE MATTOS VERONEZE
10.14488/ijcieom2023_full_0040_37678
circular economy, sustainability, circular and sustainable production process
Considering the constant changes in a more competitive world, industries must find a new way of producing. The traditional form of production is called linear economy, which consists of extracting, transforming, producing, consuming, and discarding. One of the alternatives to the linear model is the Circular Economy (CE), which provides the economic system with an alternative flow model. CE is seen as a new form of sustainability and has gained popularity in the scarcity of resources, the circulation of materials, and the facilitation of the reuse and recycling paradigm. The research approach chosen was the "Survey", which makes it possible to obtain a quantitative description, opinions, trends, and activities of a population. In the present study, a survey was carried out through a questionnaire to map the practices of organization and management of sustainability and the perception of the Circular Economy of the companies that enjoy the tax incentives of the Industrial Pole of Manaus. The questionnaire was sent to 502 companies in the Industrial Pole of Manaus, with a response rate of around 32%. Based on the answers collected in the questionnaire, we can say that the biggest barrier to overcome for CE to be fostered is the economic one. The statement by companies that there is a lack of qualified labor to carry out sustainability projects, as well as labor to understand and comply with environmental legislation, also corroborates the economic barrier. In this context, the importance of adopting sustainable practices is highlighted, as well as the perception of companies about the circular economy, which can be built from effective public policies that encourage companies to remodel their production processes.
ICIEOM2023_FULL_0032_37736
CIRCULAR ECONOMY INVESTMENTS: A PORTFOLIO SELECTION FRAMEWORK
ÁREA: ICIEOM2023 / 02.Circular Economy and Sustainable Operations and Supply Chain Management
AUTORES:
GUILHERME CANDIA DONAT;JOANA SIQUEIRA DE SOUZA
10.14488/ijcieom2023_full_0032_37736
circular economy, project portfolio management, investments
This research explores the practical implementation of the circular economy into products/services operations since it?s been communicated as one of the main strategic goals of private and public organizations. Despite the commitments in society, there is still a debate on what a circular economy is. Such structural changes in the operations require investments, which will be prioritized based on existing business constraints. Therefore, a framework to assess projects is being proposed for organizations to implement their strategic sustainability targets, such as greenhouse gas neutralization. Through Design Science Research, the following work presents a literature review of the knowledge areas required to design and demonstrate a generic artifact. As a result, developing a specific portfolio to assess circular economy capital investments is recommended, increasing the strategic alignment between projects and sustainability targets. After collecting data at the project level, it starts with Multi-Attribute Utility Theory as the multicriteria decision tool to balance economic criteria and sustainability metrics measured by the Life Cycle Analysis methodology. Then it incorporates specific risks to the ranking and utilizes mathematical programming to adjust the portfolio to financial constraints. The artifact demonstration proves its potential to be applied in circular economy capital investment decision-making and as a foundation for further development under specific scenarios of different organizations.
ICIEOM2023_FULL_0052_37802
CRITICAL FACTORS FOR THE IMPLEMENTATION OF INTEGRATED MANAGEMENT SYSTEMS: AN ANALYSIS USING AHP
ÁREA: ICIEOM2023 / 22.Total Quality Management
AUTORES:
ISABELA MAGANHA;MARCOS PAULO PAIVA;ANTONIO MOUSINHO DE OLIVEIRA FERNANDES
10.14488/ijcieom2023_full_0052_37802
integrated management system, implementation, critical factors, analytic hierarchy process
To achieve excellence in the management model, while fulfilling stakeholders? requirements and customers? expectations are among the challenges faced by companies. The implementation, evaluation, and maintenance of integrated management systems (IMS) is a common practice in companies to meet these challenges. This is why studying the critical factors for implementing an IMS successfully is relevant. The objective of this paper is to identify and classify critical factors for the implementation of an integrated management system (IMS), using the analytic hierarchy process. Ten critical factors were identified in the literature and classified by experts, who carried out a pair-wise comparison. Among the experts consulted, 60% are industry professional and 40% are professors at higher education institutions. The results indicate the degree of importance of each critical factor identified, with top management commitment as the most critical factor considered for implementing an IMS.
ICIEOM2023_ABST_0033_37708
DATA DRIVEN TO IMPROVE ROOT CAUSE ANALYSIS: A BIBLIOMETRIC ANALYSIS
ÁREA: ICIEOM2023 / 03.Digital Transformation and Data Science
AUTORES:
JUAN PABLO CARRIÓN-SALAZAR;EMILIA AHUMADA-TAPIA;CAROLINA ROJAS-CÓRDOVA;ROSLEY ANHOLON;IZABELA SIMON RAMPASSO
10.14488/ijcieom2023_abst_0033_37708
data-driven, root cause analysis, bibliometric, science mapping, scimat
Data Root Cause Analysis (RCA) allows organizations to improve their product and services, increasing their competitiveness. This process aims to identify the root cause of the failures or non-conformities, in this aspect, RCA plays a key role in continuous improvement process by correcting the failures from the root and minimizing its recurrence [5]. The exponential growth in computer?s processing capacity has allowed applying and improving data driven techniques such as Machine Learning, Data Science, Data Mining, Big Data, among others related; in the process of identifying root causes.
There are big benefits applying Data-driven techniques in the RCA process, like to discover complex relationships between the variables and find out the root causes of the problems, this complex relationships cannot be identified using Pareto Diagram [3], Data-driven approaches allows increasing the available information for decision-making, improving the efficiency and effectiveness of the continuous improvement process and reducing dependency of this process to the knowledge and opinions of the experts [4].
Despite the benefits of Data Driven RCA, the research in the field lacks a deeper understanding of the tendencies, challenges and evolution of itself. For that reason, we propose a comprehensive bibliometric analysis to accomplish this goal. A search was made in the Scopus database to understand the literature on Data Driven RCA development using the software SciMat, considering the guidelines of Cobo et al. [2] and Cobo et al. [1]. Strategical diagrams are graphical tools, used to plot themes according to two measures, density and centrality. Through these diagrams, themes can be classified as ?Motor?, ?Highly developed and isolated?, ?Emerging or declining?, and ?Basic and transversal? [1].
The search in Scopus was made using the string =(?big data? OR ?artificial intelligence? OR ?machine learning? OR ?pattern mining? OR ?knowledge discovery? OR ?data analysis? OR ?data analytics? OR ?data science? OR ?data-driven? OR ?data driven? OR ?data mining?) AND (?root cause analysis? OR ?failure cause? OR ?fault cause?). Through this search, 335 documents were found. From these documents, 206 articles were selected since they fit within the focus of the study. The range of articles? periods were from 2002 until 2022. To perform the analysis in SciMat, three sub-periods were established: 2002-2013 (27 articles), 2014-2018 (65 articles) and 2019-2022 (114 articles). As motor themes, the first period presented ?Root Cause Analysis?, with high centrality value but low density value, indicating that the term was important but low developed. In the cluster network of ?Root Cause Analysis?, the terms statistical analysis, data analysis and data mining are highlighted. In the second period, the motor themes were ?Anomaly Detection?, ?Data Management?, and ?Big Data?. According to the centrality analysis, data management was identified as the most relevant. In its cluster analysis, the machine learning was evidenced. ?Data Mining? is a motor theme that can be evidenced in the last period, considering its combination of density and centrality values. Regarding its cluster analysis, manufacturing and performance analysis are outstanding topics.
Our presented bibliometric analysis provides great information about the research field of Data-Driven RCA. Through the analysis presented, it is possible to verify a large expansion of the research field. The analysis of Data Driven RCA shows an evolution to quality and process center developments, and the production of more complex systems that allow improving organizational efficiency and fast solutions to failures and non-conformity states. In addition, there are many articles that develop these systems in the context of Industry 4.0, Internet of Things, Cloud Computing and Big Data. Showing that its application may take advantage of the company?s processes? data generated and its technological capab
ICIEOM2023_ABST_0032_37719
ECONOMIC ANALYSIS OF THE WIND ENERGY GENERATION: OVERVIEW AND CURRENT PERSPECTIVES
ÁREA: ICIEOM2023 / 02.Circular Economy and Sustainable Operations and Supply Chain Management
AUTORES:
LUIZ CÉLIO SOUZA ROCHA;PAULO ROTELLA JUNIOR;ALIREZA MAHERI
10.14488/ijcieom2023_abst_0032_37719
feasibility analysis, investment, financial assessment.
The transition to a low-carbon economy necessarily involves the implementation of large-scale electricity generation from Renewable Energy (RE) sources [1], which now account for around 30% of electricity generation in the world [2]. In this context, developing countries will play a key role as they present the best environmental conditions for generating electricity through RE sources and have the highest rate of growth in demand for electricity [3]. Wind and solar generation have consolidated their predominance in current investments so that electricity from RE sources is now the cheapest power option in most regions of the world [4]. Given the current high fossil fuel prices, renewable electricity has become even more competitive [5]. RE sources are fast becoming the cornerstone of the global electricity sector. In a carbon-neutral economy scenario for 2050, the share of RE sources in electricity generation will correspond to approximately 90%, with almost 70% of electricity being from wind and solar photovoltaic energy. However, several countries will face limitations to their solar photovoltaic energy generation potential due to land area restrictions [6]. In this way, wind energy will gain even more relevance in some countries, such as European ones, which will have to implement other sources of clean energy [7]. Due to the complexity and high capital costs involved in large-scale wind power generation projects, the economic analysis of these investments becomes fundamental, indicating the need to use management and risk analysis tools to reduce the possible impacts for investors [8]. Indeed, finding a suitable investment strategy is central to determining success in wind farm investments. Identifying the main characteristics in the previous studies, such as the technology adopted, the region or country studied, and the methods and financial criteria adopted in the studies, can serve as guidelines for researchers, investors, and other stakeholders interested in this type of technology. This reinforces the relevance of a review study, allowing the provision of methods that supports the financial valuation of investments in wind projects. Thus, this study provides the state-of-the-art in literature on the economic feasibility of wind energy generation through a Systematic Literature Review (SLR). Systematic literature review (SLR) studies allow researchers to have a macro, general and up-to-date view of a particular topic of knowledge [9]. SLR is a process consisting systematically of three steps: (i) input (or review planning), (ii) processing (or conducting research), and (iii) output (or report and dissemination). The search strings used in the WoS database resulted in 373 articles (between review and research articles). In the processing step, the inclusion and exclusion filters were carried out by the authors sequentially, ensuring the quality of the final set of articles throughout this refinement process. Finally, this process resulted in a final sample of 317 articles, which were analyzed using quantitative and qualitative approaches to drive the last step of the model for conducting an SLR (summarizing the evidence and interpreting the findings). Due to the large number of selected works, a wide range of countries were identified, with China, US, Spain, UK, and Brazil standing out for the number of works. However, in recent years, works on wind generation involving Middle Eastern countries have become very frequent, gaining relevance. Although well established in the literature on economic feasibility analysis, some economic performance measures such as Net Present Value (NPV), Internal Rate of Return (IRR), Discounted Payback and Annual Gross Margin do not appear as relevant measures in the selected sample. Other parameters for defining discount rates such as Weighted Average Capital Cost (WACC) and Capital Asset Pricing Model (CAPM) also do not appear among the most relevant terms. This fact may indicate a gap i
ICIEOM2023_FULL_0039_37829
ECONOMIC RISK PREVENTION MODEL FOR MICRO AND SMALL ENTERPRISES
ÁREA: ICIEOM2023 / 09.Innovation, Product and Service Development
AUTORES:
JESUS RAYMUNDO RIVERA AGUILERA;DANIEL RICARDO ECKHARDT DA SILVA
10.14488/ijcieom2023_full_0039_37829
economic risk, mses, framework.
Micro and Small Enterprises (MSEs) play an essential role in a country due to their economic and productive contribution. However, they are less studied than large companies due to the difficult access to data. In consideration based on an academic literature review, this research aims to contribute to the practice through a framework for the prevention of economic risks of MSEs.
ICIEOM2023_ABST_0051_37797
EFFICIENCY ANALYSIS OF CLASSES FROM AN ENGINEERING COURSE IN SOUTH AMERICA
ÁREA: ICIEOM2023 / 21.Teaching and Learning in Industrial Engineering and Operations Management
AUTORES:
PAULO NOCERA ALVES JUNIOR;ISOTILIA COSTA MELO;PAUL LEGER
10.14488/ijcieom2023_abst_0051_37797
data envelopment analysis (dea); learning performance; higher education in science, technology, engineering, and mathematics (stem).
Improving the teaching and learning process of engineering is one of the critical aspects for developing countries. The objective of this project is to analyze the learning performance in the engineering classes of the School of Engineering of Coquimbo (EIC), Universidad Católica del Norte (UCN), Chile. The methodological design is based on Data Envelopment Analysis (DEA) and applied to aspects related to the learning performance of students and teaching. The data from 94 classes of the first semester of 2022 was collected from UCN's educational system database. Based on the DEA methodology and factors related to learning performance, we expect to make recommendations and suggestions based on the results, implying that the UCN, but also engineering courses around the world, can improve aspects related to the classes.
ICIEOM2023_ABST_0040_37697
ENVIRONMENTAL AND FINANCIAL OPTIMIZATION: HYBRID GENERATION (WIND-PV) WITH BATTERY ENERGY STORAGE
ÁREA: ICIEOM2023 / 10.Last Mile Delivery Optimization
AUTORES:
ARTHUR LEANDRO GUERRA PIRES;PAULO ROTELLA JUNIOR;LUIZ CELIO SOUZA ROCHA;ROGERIO SANTANA PERUCHI;KAREL JANDA
10.14488/ijcieom2023_abst_0040_37697
multi-objective optimization, hybrid generation, batteries, normal-boundary intersection.
This study proposes a multiobjective optimization to identify the best combinations for renewable hybrid generation (wind-PV) with the use of battery storage systems, at a residential level for the Brazilian scenario. The objectives of this optimization are to maximize the Net Present Value (NPV) and minimize the emission of CO2eq - GHG (CO2equiv/KWh) - Carbon footprint, using the Response Surface Methodology (RSM) to model the objective functions. The Normal Boundary Intersection (NBI) method was used to generate the Pareto frontier with the optimal points and the LCOE variable was used to select the best optimal solution on the frontier. The method will consider one of the possibilities of the Brazilian tariff model, the white tariff, which is an hourly billing modality. First, the regression models generated for each selected city were significant by the ANOVA p-value test, being less than 0.05. In addition, the R² and adjusted R² values were also expressive, with results above 80%, indicating a high degree of explainability of the modeled process. As main findings, on the national scene, the cities that presented the best results are located in the northeast region, which by far was the region with the best results both in the environmental and financial aspects. Only one city outside the northeast region was financially viable, which was the city of Búzios - Rio de Janeiro. These regions presented excellent wind speed regimes, consistent with other studies in the literature [1,2] which indicated that in the case of small turbines, only regions with excellent environmental conditions would be financially viable. On the other hand, cities like Manga - Minas Gerais, Pirenópolis - Goiás and Uiramutã - Roraima, which presented low wind speed regimes, resulted in low participation of wind energy and in economically unfeasible investments. These cities had a higher proportion of photovoltaic energy, which forced the system to use a larger amount of batteries to balance itself. The battery is still a very expensive element in the system, bringing worse financial results, in addition to worse environmental results due to the fact that the greater number of batteries, linked to a greater proportion of photovoltaic energy, which has a worse environmental performance when compared to wind energy. The advantages of the hybrid generation pointed out by some authors [3Â?5] were proven in some cities of this study. The cities of João Pessoa - ParaÃba, Petrolina - Pernambuco, Florianópolis - Santa Catarina, Búzios - Rio de Janeiro and Uiramutã - Roraima presented proportions at the chosen Pareto optimal points (based on the lowest LCOE), between 42 and 58% of wind energy in the generation. This is directly related to the advantage of the complementarity of photovoltaic and wind energy, which in some scenarios can, for example, reduce the number of batteries to balance the system. As for the choice of batteries, in all cities the lithium-ion battery was considered the best option, both in terms of the environment and the economy. These results can be explained by the characteristics of the lithium-ion battery, which has high energy efficiency, high power density and is environmentally sustainable [6], consistent with other results in the literature [6Â?9]. The Scenario Type variable responded to the hypothesis at national level, whether it would be advantageous to make an investment considering only the highest tariff value (peak/intermediate), of the white tariff modality. The optimization results showed that in none of the selected cities would it be advantageous to generate energy to consume considering only peak/intermediate times. This may be directly related to the greater proportional need for batteries in scenarios of this type, as it would be necessary to store energy throughout the day and consume it only in the peak/intermediate ranges. Basically, it forced the system to need more storage capacity. Furthermore, the ge
ICIEOM2023_FULL_0045_37792
EVALUATING LAYOUT DESIGN EFFICIENCY: A PROPOSED MODEL BASED ON MATRIX FORMULATION
ÁREA: ICIEOM2023 / 15.Operations Strategy Planning, Scheduling and Control
AUTORES:
NELSON MAESTRELLI;MILTON VIEIRA JUNIOR
10.14488/ijcieom2023_full_0045_37792
layout design, layout efficiency, matrix formulation, reconfigurable layout
This paper presents a model to evaluate layout design efficiency. The proposed model is based on matrix formulation. Layout efficiency is determined comparing layout design conditions with current layout utilization, for different periods. A case study in an auto parts manufacturing company is presented and the results are analyzed using a performance index defined by the authors: Layout Design Efficiency (LDE). The LDE index uses matrix formulation model for layout design and compares the values of grouping efficiency (GE) for different conditions. From the calculation of the efficiency of clusters for different conditions of use, the efficiency of the project is determined, and it is possible to decide about layout reconfigurable demands. Results of a case study showed LDE can be used to evaluate layout design in a quantitative criterion, comparing layout efficiency for different conditions of use for manufacturing systems.
ICIEOM2023_ABST_0042_37710
FACTORS THAT INFLUENCE THE MITIGATION OF SUPPLY CHAIN OPERATIONAL RISKS IN THE RETAIL SECTOR
ÁREA: ICIEOM2023 / 12.Logistics and Supply Chain Management
AUTORES:
LEONARDO MELO DELFIM;MARIA SILENE ALEXANDRE LEITE;MATHEUS SOARES BRUM DE MELLO
10.14488/ijcieom2023_abst_0042_37710
risks, supply chain, omnichannel.
The consumer is experiencing a process of change in his buying habits, the main reason
being the online environment that, with direct channels to the consumer and
information technology, that make sales grow quickly (Taylor et al., 2019). In parallel,
there is increasing evidence that physical stores are experiencing stagnant or declining
traffic and that the Internet is also revolutionizing supply chain management, seeking
to offer new services to consumers to access new revenue streams (Weber et al.,2018;
Taylor et al., 2019). In this context, new sales channels are emerging more and more
and the need for their integration is increasing too much for an effective supply chain
management. According to Sousa et al. (2021), channels are the different ways of
interacting with consumers and their different types represent how the product or
information is transferred. Such a channel integration strategy is called omnichannel
and allows a real interaction, in which customers shop in channels from anywhere and
at any time, providing them with a unique, complete and continuous shopping
experience that breaks the barriers between channels (Juaneda-Ayensa et al., 2016).
The omnichannel strategy provides a systemic view of all channels to the consumer and
members of the supply chain. In this system, consumers can easily switch from one
channel to another in their shopping experience, being able to find a product on one
channel (e.g. manufacturer's website), order through another channel (e.g. online
retailer's website) and have the product delivered from a third channel (e.g. home
delivery) (Saghiri et al., 2017). Galipoglu (2018) states that this strategy requires
decisions in key areas such as marketing, logistics, supply chain and/or operations, and
from his study shows that the number of articles related to this topic has been increasing
over time, demonstrating the continued research interest in the subject area and the
increased research interest in global technological development and greater use of this
technology by consumers. However, there are several challenges and difficulties in this
process, such as cannibalism between channels, competition with retailers opting for
the online environment in its entirety, channel analysis in a synergistic and coordinated
way, inventory management and visibility (Chen et al., 2018; Sousa et al., 2021). In
other words, such implementation may be associated with several risks for the business.
And in this context, research on integration mechanisms and supply chain visibility in
the Brazilian context are scarce (Morais et al., 2019). According to Punniyamoorthy et
al. (2013), the complexity of supply chains directly influences the risks associated with
their very management. This situation occurs due to the fact that the companies that are
members of the chain share not only rewards, but also risks, due to the high
vulnerability to which they are exposed. In this sense, risk management is a process, in
which decisions are made to assume a certain known or assessed risk, as well as the
implementation of actions to reduce the consequences or probability of occurrence
(Norrman et al., 2004). Therefore, this work is structured as of data collection using
documents, questionnaires and surveys related to companies inserted in the multi-retail
sector, as well as qualitative and quantitative data analysis. The factors that stand out
as success metrics for mitigating operational risks will be described, with the objective of establishing a framework for mitigating risks in this group of companies. It is worth mentioning that research that addresses the omnichannel strategy and supply chain management may contribute to the advancement of knowledge regarding the association between the risks in supply chains generated by the adoption of this strategy and mitigation tools used by organizations to contain them. Thus, aiming to help managers in decision making and c
ICIEOM2023_FULL_0044_37766
IMPROVING THE MANAGEMENT AND ALLOCATION OF MAINTENANCE AND CLEANING OF A UNIVERSITY CAMPUS INFRASTRUCTURE USING A DISCRETE EVENT SIMULATION MODEL
ÁREA: ICIEOM2023 / 14.Operations Research
AUTORES:
CÉSAR CORRALES;JONATAN ROJAS;WILMER ATOCHE
10.14488/ijcieom2023_full_0044_37766
optimization models, maintenance and cleaning, university campus, maintenance operating costs
Due to the pandemic caused by COVID-19, university education was adapted to virtual teaching, which has allowed teachers to teach and interact in their classes and carry out their academic activities from their homes, so the university campuses of the universities of Peru were abandoned, with minimal maintenance tasks, especially in gardens. With the gradual return to face-to-face activities, it is necessary to maintain teachers' offices and administrative environments; however, the use of classrooms has a ratio of 60% and the use of offices a ratio of 30 %. If the cleaning and maintenance policies are respected on a daily basis and that cover 100% of the infrastructure, with many teachers who do not attend in person, excessive costs and use of cleaning material would be incurred. For this reason, a model for optimal task allocation of support personnel has been developed using linear programming and discrete simulation, with the input of information on the attendance of teaching and administrative staff, which allows establishing a pattern of behavior that allows developing a plan for cleaning and hiring cleaning staff, according to the estimated use of the environments. The results show that the new cleaning and maintenance plan would generate savings in operating costs of around 40%. In addition, the reduced use of cleaning and maintenance materials generates a positive collateral impact on the environment.
ICIEOM2023_FULL_0031_37816
INDUSTRY 4.0: IMPACT ON PRODUCTIVITY, ERGONOMIC ASPECTS AND WORKERS' MENTAL HEALTH, A LITERATURE REVIEW
ÁREA: ICIEOM2023 / 01.General Topics of Production and Industrial Engineering
AUTORES:
JULIANA BEZERRA GOMES DE PINHO PESSOA;MIGUEL ÂNGELO FERNANDES CARVALHO;NÉLSON BRUNO MARTINS MARQUES DA COSTA
10.14488/ijcieom2023_full_0031_37816
productivity, ergonomics, mental health, literature review.
The relationship between productivity, well-being and mental health of the worker is a subject that has been discussed by companies in the apparel, automotive, construction, and textile industries in the search for improvements in quality of life and increased production. This paper aims to identify what impacts on productivity in relation to ergonomic aspects, mental health, and workers' well-being can improve production in the apparel industry. A specific methodology (PICO) was used to convert the problem into a research question and generate the keywords to be used in the systematic review. The systematic review was conducted according to the PRISMA method, This review included searching for articles, theses and dissertations, written in English and Portuguese, in the Web of Science and Scopus databases published between 2018 and 2023. The articles and book chapters found were reviewed according to the research objective, in which 6 articles were included in this review. The keywords used were: productivity; Manufacturing industry, industry 4.0, ergonomics, mental health. The main objective of this article is to survey studies on the relationship between ergonomic aspects, well-being and mental health of the worker, and how these aspects can influence productivity.
ICIEOM2023_ABST_0033_37793
INVESTIGATING AND MEASURING SMALL AND MEDIUM ENTERPRISES (SMES) PERFORMANCE IN THE CONTEXT OF DIGITAL TRANSFORMATION (DT): AN APPROACH ENCOMPASSING THE TRIPLE BOTTOM LINE (TBL) OF SUSTAINABILITY
ÁREA: ICIEOM2023 / 03.Digital Transformation and Data Science
AUTORES:
ISOTILIA COSTA MELO;GEANDRA ALVES QUEIROZ;PAUL LEGER;PAULO NOCERA ALVES JUNIOR
10.14488/ijcieom2023_abst_0033_37793
small and medium-sized enterprises (smes), digitalization, industry 4.0.
Digital Transformation (DT) is a fundamental phenomenon changing the business world globally. Small and medium enterprises (SMEs) represent 99% of the enterprises worldwide and are responsible for 70% of the jobs (especially female). Given this, projects focused on SMEs represent a contribution to the following six Sustainable Development Goals (SDGs): 1. No Poverty, 5. Gender Equality, 8. Decent Work and Economic Growth, 9. Industry, Innovation, and Infrastructure, 10. Reduced Inequalities, and 12. Responsible Consumption and Production. The current extended abstract belongs to a two-year research project to be initiated in March 2023 in Latin America. This project's main goal is to develop a practical index for measuring SMEs' relative performance. This index must simultaneously encompass the DT and the triple bottom line (TBL) of sustainability (i.e., economic, social, and environmental aspects). The presentation in the IJCIEOM in June 2023 (four months after starting the project's execution) is focused on the first secondary goal, i.e., to elaborate and validate a questionary (scale) to survey the performance of SMEs regarding DT and the bottom line of sustainability (i.e., economic, social, and environmental aspects). The expected findings are the results from the pilot test with SMEs in a Latin American country and refining the scale as well as identifying potential collaborators. This scale can be used for investigating sustainable SMEs' performance worldwide.
ICIEOM2023_ABST_0042_37842
INVESTIGATION OF A COMPETITIVE TRANSPORT MARKET CONSIDERING DEMAND UNCERTAINTY AND RISK ATTITUDE OF SHIPPING COMPANIES
ÁREA: ICIEOM2023 / 12.Logistics and Supply Chain Management
AUTORES:
HOSSEIN ZOLFAGHARINIA
10.14488/ijcieom2023_abst_0042_37842
containerized shipping, demand uncertainty, risk attitude.
The proportion of containerized shipping in freight transportation has been growing over the last few
years (Zhang & Zhang, 2020; Nagurney, 2021). For instance, containerized shipping has grown by 33% since
2012 and reached 160 million TEUs (Twenty-Foot Equivalent Units) in 2021 (Manaadiar, 2021). This growth is
forecasted to continue for the next decades. For instance, the total Canadian and US container port volumes were
54.6 million TEU in 2010 and are predicted to reach 89.8 million TEU by the end of 2050 and 99 million TEU by
2060 (VEPA, 2020). Considering the growth of containerized shipping, Empty Container Repositioning (ECR)
has become a significant concern for many transportation systems. Several factors, such as different economic
requirements and tariffs between distinct countries or locations, usually lead to imbalances in freight volumes
between areas and result in different patterns of demand and supply for empty containers (Zheng et al., 2017; Lee
& Moon, 2020; Jeong & Kim, 2023). Hence, these companies must relocate empty containers from demand points
to supply nodes for the shipping service continuity, imposing an extra cost (Yu&Chen, 2016; Chen et al., 2022)....
ICIEOM2023_ABST_0042_37772
INVESTIGATION OF OPERATIONAL PARAMETERS THAT AFFECT THE USE OF DRONES IN GOODS? STOCK COUNT PROCESS: EVIDENCE FROM EXPERIMENTAL RESULTS
ÁREA: ICIEOM2023 / 12.Logistics and Supply Chain Management
AUTORES:
NIKOLAOS CHRISTOFOROS THOMAIDIS;VASILEIOS ZEIMPEKIS
10.14488/ijcieom2023_abst_0042_37772
drones, logistics, industry 4.0, stock-count, warehouse, operational parameters
The use of Unmanned Aerial Vehicles (UAVs) in logistics and distribution centers has become a growing area of research. This article presents the results of experiments conducted to assess the effect of various operational parameters (UAV speed, number of rack levels, tag location, etc.) on the stock counting process in warehouses using drones. The study followed a two-stage approach, first conducting a literature review and then collecting user requirements through a survey and interviews. The experiments involved two case studies, an ambient warehouse with dry products and a chilled warehouse with liquid products, and analyzed the effect of the parameters through a full factorial design. The results showed that certain parameters had a significant impact on the accuracy and time of the stock count process. The findings indicate that the combination of RFID reader technology with UAVs can lead to increased accuracy, faster processing, lower costs, and improved safety in inventory management.
ICIEOM2023_FULL_0041_37776
LEAN GREEN TENDENCY: A SYSTEMATIC LITERATURE REVIEW
ÁREA: ICIEOM2023 / 11.Lean and Agile Operations
AUTORES:
CLÁUDIA MARGARIDA RAMOS DE SOUSA E SILVA;MARIA LIMA FONSECA;SARA AZEVEDO
10.14488/ijcieom2023_full_0041_37776
lean, lean green, systematic literature review
Lean philosophy and Green practices have been identified as management approaches that allow organizations to reach better economic and environmental results. Nevertheless, some authors argue that these results can be enhanced with the Lean and Green practices integration. This synchronous effort has led to developing a new Lean philosophy branch, the Lean Green. Through a systematic literature review, this work aims to deepen the Lean Green state of the art, as well as to understand how companies have adopted this approach. The results showed that Lean Green is still an emerging theme in scientific research, with an increasing trend of publications in the last six years. Companies' main motivations and barriers to adopting Lean Green were also identified. Finally, as practical implications, were identified a set of key factors that could help organizations to adopt Lean Green, namely critical implementation factors, facilitator models and tools, as well as the main results and advantages obtained.
ICIEOM2023_FULL_0031_37743
MEASUREMENT OF PERFORMANCE IN SMES: BIBLIOMETRIC ANALYSIS (2015 ? 2021)
ÁREA: ICIEOM2023 / 01.General Topics of Production and Industrial Engineering
AUTORES:
JUAN JOSÉ ANALUISA;SOLANGE SANGUIL;XIMENA ROJAS-LEMA;KAZUO HATAKEYAMA
10.14488/ijcieom2023_full_0031_37743
performance; smes; bibliometric analysis
Performance measurement (MD) in small and medium-sized enterprises (SMEs) is increasingly a space of crucial scientific contribution, not only because of the evidence of practical actions aligned to strategic planning but also due to the need to formalize and structure methodologies for the implementation of performance measurement systems in specific contexts. Assessing global research activity based on a bibliometric analysis helps to position researchers regarding the development of MD in SMEs. 335 records extracted from the SCOPUS database were processed in VOSviewer (graphic visualization tool used). The co-occurrence of keywords, publications, annual citations, countries, and most representative authors were the main analyzes carried out. Those that led to the recognition of foremost exponents, and critical themes around the proposed article, such as performance, sustainability, and innovation, have registered an increase in related research since 2019 and mostly in the region from Asia.
ICIEOM2023_ABST_0035_37827
ON RESILIENCE AND MENTAL MODELS: A PROPOSED THEORETICAL ANALYSIS
ÁREA: ICIEOM2023 / 05.Human development and digital training for operation management in emergencies
AUTORES:
FLÁVIO BRESSAN
10.14488/ijcieom2023_abst_0035_37827
executive resilience; mental models; resilience development
Abstract. Disruptive events – like the economic crisis and even the natural disaster - occur far more frequently than previously anticipated. The unpredictable and disruptive environmental changing circumstances have forced executives to adapt their business operations to new and unexpected challenges, threats, and opportunities. To succeed in this challenging environment, executives need to support the severe stress and perceive and understand the emerging drivers of change in the external environment to find new ways for surviving and prospering. In other words, they need resilience and a strategic mental model (SMM) needed for strategic competence. Research Problem and Objective: Resilience is a dynamic process that encompasses a positive adaptation in a turbulent environment. This positive adjustment requires the ability to perceive tenuous and anticipatory environmental signs of turbulence and crises. When faced with such a situation, many executives will have different perceptions and exhibit different patterns of resilience. How can these differences in resilience patterns be explained? The objective of this work is, through the analysis of the 10-item CD-RISC Scale, to establish the theoretical relationship between resilience patterns and MMs and to discuss the issue of developing an SMM. Theoretical Foundation: Mental models are the person's default neurocognitive functioning mode and provide data on how a person reacts in a turbulent environment. MM (Operational - OMM and Strategic - SMM) – make it possible to identify and explain differences in executives' resilience patterns. Resilience may be the maintenance of a positive adjustment under a dramatically evolving environment. APA defines resilience as the process and outcome of successfully adapting to difficult or challenging life experiences, especially through mental, emotional, and behavioral flexibility and adjustment to external and internal demands. This positive adjustment requires the capability to perceive weak and anticipatory environmental signs for the coming crisis and turbulences. In the literature, we find two ways of understanding resilience: reactive resilience - “the ability to bend and not to break” (Bridges, 1995: 5) or active resilience - which refers to a prospective strategy; to perceive the opportunities it brings and the competence to grow with the challenge. One can assess resilience by the 10-the CD-RISC scale. The scale analysis in the light of MMs makes it possible to establish a relationship between the OMM and reactive resilience and the SMM and proactive resilience. Methodology: This work aims to relate, theoretically, the MMs, as measured by the Personal Inclination Questionnaire (QIP) (Silva, 1992), and resilience as measured by the 10-the CD-RISC scale (Connor & Davidson 2003). The QIP provides a valid measure of the variables used to identify the MMs and has good content validity and adherence to the population. The CD-RISC scale measures the self-perceived ability to adapt to adversity. Items such as “I Can achieve goals despite obstacles” were rated on a 5-point scale from 0 (not true at all) to 4 (nearly always true). The scale has previously demonstrated good reliability with an internal consistency estimate of .85. Three judges participated in this study. They have pertinent training on MM variables and some knowledge of Resilience. The first stage consisted of familiarization with the concepts of resilience and MM. For familiarization, the judges answered the questionnaires and hold a debate on MM and Resilience. Then, judgers did the assessment of each of the items of the 10-item CD-RISC, carried out from the MMs' perspective. The defined hypothesis was: respondents with OMM would score below average – reactive resilience - and respondents with SMM would score above average – active resilience. The objective of this analysis was to establish what would characterize the probable score attributed by each MM to each test item. Discussion: The study shows us that it is possible to infer, at least theoretically, the executive's pattern of resilience. According to MMs, only professionals with SMM are able to present, by default, active resilience. Identifying the MM of the professionals makes it possible to estimate the persons’ resilience pattern. When analyzing the issue of resilience development, a question that arises concerns the development of the SMM and the ability of people to change themselves. A person is able to acquire not only new knowledge or skills but also new neurocognitive structures, through which new areas beyond his background of knowledge and skills are opened. This process is the modifiability of the human being (Feuerstein et al., 2014). Conclusion: Once establish the relationship between resilience and MM, it becomes easier to understand why some executives are resilient, and most are not: they have trouble dealing with the environment VUCA. One implication for the executive's resilience development may be that before intervening with programs and practices, it is necessary to focus on helping executives enhance their SMM. To face this task, the first thing to do is help executives to assess their MM. Once assessed their MM, it made possible to improve or change those MMs. By the way, developing executives’ strategic MM is among the most critical capabilities an organization needs to develop. This task is a big challenge because MM development may be the actual mean for people's development. To develop resilience, executives must attend development programs designed to enhance SMM. These investments in learning are meant for giving birth to new abilities required to improve organizational performance and results.
ICIEOM2023_FULL_0034_37798
OPERATIONS STRATEGIES IN THE RECRUITMENT PROCESS PRE-EXPOSURE PROPHYLAXIS TO HIV
ÁREA: ICIEOM2023 / 04.Healthcare Management
AUTORES:
CARLOS JEFFERSON DE MELO SANTOS;ANGELO MARCIO OLIVEIRA SANTANNA
10.14488/ijcieom2023_full_0034_37798
healthcare, strategy and organizational engineering, quality management.
Making HIV pre-exposure prophylaxis (PrEP) easily accessible to adolescents requires enabling and strategic recruitment and linkage to PrEP services. The PrEP1519 project is a single-arm, demonstration cohort study of daily oral antiretrovirals as PrEP among adolescent men who have sex with men (AMSM) and transgender women (ATGW) aged 15-19 years old in Brazil. The objective was to apply and analyze operational strategies in recruitment methods for prospecting adolescents in the context of social vulnerability. Participants were recruited by trained peer educators who engage with youth at gatherings, venues, events, and schools; through online social media and mobile apps. The data were collected between 2019-2020 in Salvador, Brazil. Based on a literature review, statistical methods were used to apply decision-making and operations management methods to direct recruitment strategies. Gender identity (p=0.006) and sexual orientation (p=0.007) were significant-ly relevant to recruitment methods. Even without a large Pearson relation-ship, the construction of the cross-tabulation for the other variables facilitat-ed decision-making to direct recruitment resources. Well-trained youth peer educators effectively recruit aMSH and aTGW for PrEP. However, recruiting needs direction for consistent decision-making to rethink or reinvent strate-gies or new paths when a strategy reaches its limit.
ICIEOM2023_ABST_0032_37716
PATHWAYS TO ACHIEVE RESILIENCE IN RARE EARTH MAGNETS SUPPLY CHAIN
ÁREA: ICIEOM2023 / 02.Circular Economy and Sustainable Operations and Supply Chain Management
AUTORES:
JÉSSICA PRATS RASPINI;FRANCIELE ROSSETTI CÚNICO;GISELE DE LORENA DINIZ CHAVES;LUCILA MARIA DE SOUZA CAMPOS
10.14488/ijcieom2023_abst_0032_37716
circular economy, rare earth magnets, critical raw materials
The energy transition to a low-carbon system can stress natural resources by significantly increasing the demand for rare earth elements (REE). Neodymium (Nd), belonging to the group of REE, has gained prominence in recent years due to the growing demand for Nd-Fe-B magnets and its globally unbalanced supply (LIU et al., 2022; YAO et al., 2021). Thus, this study indicated ways to achieve resilience in rare earth magnets supply chain based on aspects of the Circular Economy (CE). The results of this review should help guide future research by indicating which practices should be deepened to close the materials cycle and improve resource efficiency.
ICIEOM2023_FULL_0034_37687
PREDICTING PROJECT SALES PRICES USING MACHINE LEARNING TECHNIQUES: A CASE STUDY IN A PROJECT CONSULTANCY
ÁREA: ICIEOM2023 / 04.Healthcare Management
AUTORES:
MARCELO CARNEIRO GONÇALVES;ALEXANDRE DOS SANTOS PEREIRA;THALES DE FREITAS FERRAZ;ELPIDIO OSCAR BENITEZ NARA;IZAMARA CRISTINA PALHETA DIAS
10.14488/ijcieom2023_full_0034_37687
machine learning, gradient boosting machine, computational intelligence.
The study aims to apply machine learning concepts to predict project sales prices of a consulting company located in Curitiba/PR. The company has projects in the most diverse fields, such as in the strategic, productive, quality and innovation areas. Due to this diversity, company managers find it difficult to calculate the sale value of new projects, since they deal with different types of predictor variables such as: type of consultant, type of project and number of hours. In this sense, there is a need to use a method that predicts from a multivariate analysis and that results in sales values close to those expected by the company. To this end, a literature review was carried out on the research topics, namely: Production Planning and Control (PPC) and machine learning techniques; then, the company's current sales prospecting process was mapped; in addition, data were collected, analyzed and prepared, and then proceeded to the testing stage and selection of the best model; and finally, the improvement proposal was discussed with the organization. As a result, it was obtained that the application of the Gradient Boosting Machine (GBM) technique obtained the lowest error result among the Machine Learning techniques tested. The error was approximately 21%, which can be considered acceptable for the analyzed segment. Thus, this work met the expectations of stakeholders by presenting the possibility of pricing projects using computational algorithms for forecasting demand.
ICIEOM2023_FULL_0032_37667
PROCEDURAL SWITCHING COSTS: SCALING USING THE ITEM RESPONSE THEORY
ÁREA: ICIEOM2023 / 02.Circular Economy and Sustainable Operations and Supply Chain Management
AUTORES:
EDUARDO TRAMONTIN CASTANHA;VALDIRENE GASPARETTO;ANTONIO CEZAR BORNIA;PAULO SÉRGIO LIMA PEREIRA AFONSO
10.14488/ijcieom2023_full_0032_37667
processual switching costs; interorganizational relationships; food and beverage companies.
The construct switching costs has been frequently used in theoretical models which associate customer retention strategies in interorganizational relationships. In order to adequately analyze this construct, the Item Response Theory (IRT) was used to develop an interpretable scale of procedural switching costs related to buyer-supplier inter-organizational relationships. A framework composed of 4 dimensions (economic risks, assessment costs, learning costs and setup costs) and 18 variables was developed and applied to Brazilian companies of the food and beverage industry. As a result, four groups of procedural switching costs were identified: minimum, medium, high and maximum, with most answers concentrated on the minimum level. These findings suggest that food and beverage companies find it easy to change their transport service providers. For further research, the TRI can be applied to other dimensions of switching costs proposed by the literature as a way of adequately assessing the multidimensionality of the construct analyzed here. Furthermore, the proposed framework can be applied in other inter-organizational contexts.
ICIEOM2023_FULL_0038_37810
PROPOSAL FOR PRODUCTIVITY INDICATORS THROUGH THE MANUFACTURING EXECUTION SYSTEMS
ÁREA: ICIEOM2023 / 08.Information Systems in Operations
AUTORES:
CARLOS JEFFERSON DE MELO SANTOS;ANGELO MARCIO OLIVEIRA SANTANNA;JOILSON NASCIMENTO PAIM
10.14488/ijcieom2023_full_0038_37810
productivity, manufacturing execution systems (m.e.s), indicators
Manufacturing industries tend to constantly use integrated systems based on industry 4.0 to manage processes virtually with the constant increase in productivity. One of these systems is the Manufacturing Execution Systems (M.E.S), which makes products available in real-time and provides data for better decision-making with probabilistic maximization. This study proposes productivity indicators that best reflect production based on the M.E.S. and how these indicators are calculated. Analyses were carried out in the literature of the main productivity indicators and conceived, through the reality of the M.E.S. deductions and calculation formulas construction of indicators through a process analyzed in a sanitizing industry. Indicators were created about the use of equipment, maintenance (availability and reliability), quality efficiency, partial and global productivity of the process. The indicators demonstrated compatibility with the information generated in the M.E.S, and they can perform the decision-making cycle with less interference from the operator and the company's strategy. New applications will be needed to expand the indicator database over time and conduct predictive statistical evaluations.
ICIEOM2023_ABST_0043_37746
QUALITY EVALUATION OF THE PUBLIC POLICY SÃO PAULO STATE NETWORK OF TECHNOLOGICAL INCUBATORS (RPITEC)
ÁREA: ICIEOM2023 / 13.Operations in the Public Sector
AUTORES:
GABRIELA DIAS VIANA;PAULO RENATO PAKES;VÍVIAN KARINA BIANCHINI;CARLOS DO AMARAL RAZZINO;MIGUEL ÁNGEL AIRES BORRÁS
10.14488/ijcieom2023_abst_0043_37746
quality in the public sector, innovation system, business incubators.
Abstract. Business incubators offer opportunities and development possibilities to those startups that innovates in products, services, or processes. To integrate institutions of innovation system and to promote direct incentives to startups the São Paulo State Network of Technological Incubators (RPITEC) was created. RPITec is a public policy that aims to provide subsidies like physical space for the installation of startups and managerial and technological support for the development of small companies. In this sense, efforts are made to facilitate networking, training, consulting and promoting interaction with universities and regulatory agencies that assist in the opening of these technology-based companies. In total 71 business incubators were identified in the state of São Paulo. Among the incubators, only 16 are already members of RPITEc. The originality of this research lies in assessing the quality of a public policy aimed at supporting technology-based companies to identify whether there are quality gaps to be improved. Through the theoretical basis and application of a survey, it was possible to evaluate the quality of public policy according to companies inside the 16 incubators. The method used for this research was a survey. In general, surveys involve collecting information from individuals about themselves or about the social units to which they belong, through questionnaires, phone calls and personal interviews (Forza, 2002). The study was made in the subsequent stages as: research and study on the existing theory regarding technology, innovation, incubators, associations and support organizations, public policies and services. The theoretical framework allowed to build the questionnaire to evaluate the quality of the public policy. After the data collection, data was tabulated and gaps of users' perceptions of quality were identified. Finally, the authors make recommendations of improvements for RPITEc. In total, 48 companies among the 16 incubators answered the questionnaire that allowed the analysis of the quality perception by users. Through descriptive analysis, it was possible to verify the quality in the five dimensions of quality: project quality, process quality, quality of the relation, quality of the result and reliability (Rhee & Rha, 2009; Parasuraman et al, 1988). The questionnaire comprised ten questions. Additionally, we added one question over the general satisfaction with the public policy. Through descriptive statistics, we identified gaps and the need for improvements in the quality of these services was observed. The instrument used to assess the quality of public policies was adequate, as it allowed the analysis of the perception of its users. Four important critical gaps were observed in the following dimensions: a) project quality: there is a lack in the consultation of the needs of the incubated companies, aiming to add value to their users and RPITec; b) process quality: it lacks integration of incubated companies with production chains and with regulatory and investment agencies; c) quality of the relation: there are no assessments of the quality of services provided to analyze the satisfaction of its users; d) quality of relations: there is a lack in the access to equipment at laboratories and research institutions or universities. Overall, we could identify that 56.3% are satisfied with the public policy while 33.3% of users consider themselves dissatisfied. In order to improve the quality of the most critic gaps, RPITec should improve the following aspects to increase users? satisfaction: a) it is necessary to carry out a study and monitoring of the needs of the incubated companies, with the objective of aligning the direction of public resources with the specific demands of the hosted companies; b) process quality: encouraging the integration of incubated companies with production chains is needed, seeking to provide sustainability for the companies' businesses. It is also neces
ICIEOM2023_ABST_0043_37748
QUALITY MEASUREMENT OF THE PUBLIC POLICY SÃO PAULO STATE TECHNOLOGICAL PARKS SYSTEM (SPTEC)
ÁREA: ICIEOM2023 / 13.Operations in the Public Sector
AUTORES:
PAULO RENATO PAKES;ANA LÚCIA VITALE TORKOMIAN;GABRIELA DIAS VIANA;CARLOS DO AMARAL RAZZINO;VÍVIAN KARINA BIANCHINI
10.14488/ijcieom2023_abst_0043_37748
public policies. innovation system. quality in the public sector.
Despite the development of technological capacity to innovate occur primarily within companies, other organizations and institutions of the Innovation System (IS) can contribute to this process. In the broadest sense, IS can be understood as all important economic, social, political, organizational and institutional factors, among others, that influence the development, diffusion and use of innovations (EDQUIST, 2004). The Public Power of the State of São Paulo has carried out several initiatives in Science, Technology & Innovation for the maturation of its innovation system. One of them is the São Paulo State Technological Parks System (SPTEc). Considering this context, this paper (branch of a doctoral thesis) made a model to measure the perceived quality of public policies for Innovation System from the point of view of users. The analysis framework brings as original contribution a model to measure the perceived quality of public policies in innovation. This paper is based on a bibliometric analysis and systematic analysis on quality in the public sector and systems of innovation. To build up a websurvey on the quality of public policy SPTec. Through descriptive analysis, it was possible to verify the quality of public policy in 5 determinants of quality: project quality, process quality, quality of the relation, quality of the result and reliability (RHEE; RHA, 2009; PARASURAMAN et al, 1988). Factor analysis allowed the regrouping of quality attributes into new determinants for SPTec public policy. Finally, the multiple regression analysis allowed us to analyze the dependence relationship between the variables. It was observed that the public policy SPTec is immature in terms of process quality, quality of the relation and quality of the result, needing intervention of improvement with higher priority on them. In addition, we identified the determinants that should be prioritized in the implementation of SPTec public policy in a possible reformulation. Finally, the attributes of quality that generate the greatest effect in terms of increase in user satisfaction are shown, as well as those that generate decrease in satisfaction if they have an increase in their performance, which allows to analyze which attributes should be prioritized in terms of maintenance or performance. The results indicates that much remains to be done to improve public policy because gaps were found in the following determinants: project quality, quality of the process, quality of the relationship, as well as the quality of the result. With regard to the maturity of the innovation system in the State of São Paulo, it can be classified as mature in terms of project quality and reliability. On the other hand, it is classified as immature in terms of process quality, relationship quality and result quality. In this sense, the following measures are suggested with the objective of promoting the greatest satisfaction of users of this public policy: In terms of project quality, a study is needed aimed at understanding in more depth (or reviewing) users of public policy, which will make it possible to adjust the execution of public policy as an instrument for facilitating innovation; In terms of process quality, actions related to: Facilitating access to researchers and R&D professionals are necessary: measures can be taken to encourage interaction between the productive and knowledge sectors, such as holding congresses, seminars, interaction rounds, mapping demands and technological offers between universities and companies, innovation awards, among others initiatives aimed at fostering university-company relationships or between companies and other IS institutions such as technical schools, research institutes or organizations providing technological services; Facilitation of access to relevant technological services: SPTec needs to carry out a research to understand the specific demands of the installed companies with regard to the provision of relevant
ICIEOM2023_ABST_0042_37825
RISK MANAGEMENT AND DECISION MAKING IN SUPPLY CHAINS
ÁREA: ICIEOM2023 / 12.Logistics and Supply Chain Management
AUTORES:
JOSÉ FLÁVIO RIQUE JÚNIOR;MARIA SILENE ALEXANDRE LEITE;ANTONIO CEZAR BORNIA
10.14488/ijcieom2023_abst_0042_37825
supply chain, risks, risk management.
The main theme of this paper is Supply Chain Management. A supply chain
refers to the process of managing materials, information, and the financial portion that
flows between suppliers, manufacturers, distributors, and consumers. It is the integral
part of the supply process that includes a set of suppliers and distribution channels to
ensure that the right products and services get to the right destination, at the right time,
and at the right cost. The supply chain provides a framework for optimizing the flow of
products and services along the chain. Companies can use supply chain concepts to
increase efficiency and reduce costs by adjusting logistics, production capacity, and
service offerings. The supply chain can help improve companies' responsiveness, speed
of delivery, and quality of the products and services offered.
The supply chain is the flow of goods, services, and information from the
creation of a product until it reaches the consumer. They are composed of many parts,
from raw material harvesting, production, logistics, storage, and transportation to the
retailer. These chains are very complex and involve many risks. The risks that these
chains encounter include problems at suppliers and in production, poor lodging of
goods, cost problems, damage to the environment, improper disposal of products,
problems with suppliers, problems with logistics, health and safety problems, and
quality problems, among others. Managing these risks effectively is important for
supply chain success. These risks can be managed using various techniques, such as the
use of tracking and tracing tools, the use of contracts and negotiations with suppliers,
the use of loss prevention measures, the use of auditing and risk analysis processes, and
others.
The goal of the final proposal is to develop a scale that can assess the degree
of risk that supplier companies offer to the supply chain and their performance. The
scale would be used by companies to make informed decisions about the degree of risk
they are willing to take. By understanding the degree of risk that a company offers to
the supply chain, it can better manage its resources and protect itself from potential
disruptions. This scale will help companies understand the potential consequences of
their actions and make better choices about how to manage their risks. To achieve the
final objective, it is necessary to follow some primary steps: Literature review, to
understand the relationship of the risk dimension with the supply chain. Design and
application of a questionnaire, in companies capable of answering about their suppliers
for the calibration of the scale, using the Theory of Item Response (TRI). After the
calibration of the scale, determine the degrees of risk of suppliers offered to the supply
chain.
Until then, a systematic review of the literature was carried out, after filters,
195 articles were found to be read in full. From these found articles, 17 criteria related
to the dimension of risk in supply chains were extracted. Based on these criteria, items
were created to compose the questionnaire that addressed the risks dimension and their
relationship with suppliers. These items were validated by specialists, so that they could
accurately approach the risks dimension and its criteria, relating them to suppliers.
Currently, the research is in the phase of applying the questionnaire with the companies,
so that the items that make up the questionnaire can be treated based on the Item Response Theory.
ICIEOM2023_FULL_0039_37693
RISK MANAGEMENT IN THE CONTEXT OF INDUSTRY 5.0
ÁREA: ICIEOM2023 / 09.Innovation, Product and Service Development
AUTORES:
VITOR HUGO DOS SANTOS FILHO;NÁDYA ZANIN MUZULON;GIAN CARLOS MEDEIROS HACKBARTH;LUIS MAURICIO RESENDE;JOSEANE PONTES
10.14488/ijcieom2023_full_0039_37693
industry 5.0; risk management; society 5.0; nvivo® 12; vosviewer
Industry 4.0 brought a highly automated and technology-centric environment. Now, Industry 5.0 strives to introduce innovation with safety and responsibility beyond industry and thus build a society that contributes to economic growth and social well-being. Therefore, this study analyzed publications on Industry 5.0 from a risk management perspective to investigate trends and analyze metrics related to publications on the topic. The study used the occurrence of a combination of keywords in the Scopus database search. Qualitative analysis of the 64 contents returned from the search was performed using the NVIVO® version 12 tool, and for analysis of other metrics, the VOSviewer software was used. The results indicated that: (1) publications have been increasing since 2017; (2) countries such as the United States, Japan, and China dominate the research; (3) the field of Engineering predominate in the number of publications; (4) The most found keywords in the publications are Industry 5.0 and Society 5.0. (5) The themes that appear most in discussion in the selected articles are Systems, Data, Technologies, Risk, Model, Production, Human, and Management. A discussion of these results, including limitations and recommendations for future research, is provided.
ICIEOM2023_FULL_0042_37739
SIMULATION MODEL OF NATURAL GAS DEMAND FOR CONTRACTING DECISION IN HIGH THERMAL DISPATCH SCENARIOS
ÁREA: ICIEOM2023 / 12.Logistics and Supply Chain Management
AUTORES:
REBECA OLIVEIRA;IGOR TONA PERES;ANTONIO MARCIO TAVARES THOMÉ
10.14488/ijcieom2023_full_0042_37739
natural gas, simulation, oil & gas, balance of supply and demand.
In Brazil, there is a volatile demand for natural gas, especially due to the characteristics of the energy matrix highly dependent on water resources. Furthermore, with most associated gas fields, in which oil and gas production occurs simultaneously, new production projects prioritise firm demand, with gas imported by pipelines or liquefied natural gas to meet thermoelectric demand in high dispatch scenarios. In this article, an analysis of the demand for natural gas in Brazil was made using a static simulation model. The analysis serves as the basis for the decision to contract a liquefied natural gas supply ship, mitigating the supply risk and generating energy security.
ICIEOM2023_FULL_0051_37820
SKILLS FOR TRANSMITTING CONCEPTS RELATED TO ENTREPRENEURSHIP: MEASUREMENT USING THE ITEM RESPONSE THEORY
ÁREA: ICIEOM2023 / 21.Teaching and Learning in Industrial Engineering and Operations Management
AUTORES:
THAYANNE ALVES FERREIRA;ANTONIO CEZAR BORNIA
10.14488/ijcieom2023_full_0051_37820
teachers; skills; entrepreneurship; scale
Over time, educational institutions have played different roles, such as teaching, producing knowledge, creating innovations, being an entrepreneur, and commercializing technologies. Thus, the teacher-student relationship is more complex and demanding than before. The implications of this are discussions about the new role of the teacher, methods, and tools that must be applied in the classroom to facilitate the process of learning the skills needed in the 21st century. This study aimed to develop a scale to measure the skill for transmitting concepts related to entrepreneurship. A questionnaire was developed using theoretical, experimental, and analytical procedures. The stages of the theoretical procedure comprise the explanation of the theory through an integrative review that resulted in the conceptual model and later in the development of items. These items were subjected to semantic and content analysis. In the experimental procedures, the target population was delimited and data collection was conducted. In the analytical procedures, statistical analyses were performed in relation to the tool?s dimensionality. To test the validity and internal consistency of the items, Samejima?s Graded Response Model of Item Response Theory was used. For scale interpretation, six levels were defined in the scale: initial, basic, elementary, essential, intermediate, and advanced. The results showed evidence of validity for a tool with 30 items, with the potential to help educational institutions in the development of educational actions that will be able to identify and characterize the teacher?s profile, enabling the development and encouragement of innovation and creativity for the creation proposal or reformulation of curricula.
ICIEOM2023_FULL_0032_37728
STRATEGIC GUIDELINES FOR SUSTAINABLE PROCUREMENT OF INFRASTRUCTURE CAPITAL PROJECTS IN THE OIL AND GAS INDUSTRY
ÁREA: ICIEOM2023 / 02.Circular Economy and Sustainable Operations and Supply Chain Management
AUTORES:
LUCIANA SALVATORE;ANTONIO MARCIO TAVARES THOMÉ;ADRIANA LEIRAS
10.14488/ijcieom2023_full_0032_37728
sustainable procurement, decarbonisation, infrastructure projects.
Sustainable development and carbon dioxide emissions have been debated in the oil and gas sector as a basis for developing plans to reduce the emission of this gas in its operations, influenced by the commitments made in the Paris Agreement by reducing the emission of greenhouse gases (GHG). Investment funds demand organisations act on this subject, urging companies to outline GHG emissions throughout their value chain. This work aims to contribute to the inclusion of initiatives to decarbonise the construction phase of infrastructure capital projects using the procurement process. Through a systematic literature review (SLR) and a case study applied to a Brazilian oil and gas company, the documentation related to four contract opportunities for the construction of infrastructure and offsite areas was evaluated, applying criteria raised in the literature to identify initiatives that lead to the decarbonisation during the construction phase. Interviews with experienced professionals and direct observation of the procurement process preparation of two projects comprised the study. Results showed initiatives as contractual requirements targeting energy efficiency, minimising costs, and maximising productivity associated with the use of GHG-emitting equipment. We deliver a strategic guide for incorporating environmental sustainability initiatives with a focus on reducing GHG emissions into the processes for procuring construction services and assembling logistics infrastructure and offsite projects.
ICIEOM2023_FULL_0041_37707
STRATEGIC THINKING AND MENTAL MODELS: COMPARISON BETWEEN BRAZILIAN AND SPANISH STUDENTS - IMPLICATIONS FOR THE TEACHING-LEARNING PROCESS
ÁREA: ICIEOM2023 / 11.Lean and Agile Operations
AUTORES:
FLÁVIO BRESSAN
10.14488/ijcieom2023_full_0041_37707
mental models, strategic thinking, teaching-learning process
In this business environment characterized by VUCA, strategic thinking (ST) is mandatory for the company's strategic objectives accomplishment. ST competence is related to neurocognitive functioning, that is, to the mental model (MM), which can be Operational Mental Model (OMM) or Strategic Mental Model (SMM), which is more conducive to Strategic thinking. Many students report difficulty in dealing with strategic issues and prefer disciplines that are more operational and focused on the present. This difficulty results from their preferences for an operational MM having the focus on the here and now. Instead of the Strategic MM linked to ST. This paper presents survey results of undergraduate students? Mental Models at UNICAMP (Brazil) and UPC (Barcelona), analyzes the incidence of the MM conducive to strategic thinking, and presents a comparative analysis between them. It discusses the relationship between the ST and the MM and its relations with the teaching and learning process. It concludes that the MM may be one of the causes of students' difficulty with the ST demands and proposes alternatives for developing the SMM.
ICIEOM2023_FULL_0032_37760
STRUCTURAL EQUATION MODELING FOR IMPROVING PLASTIC WASTE MANAGEMENT: THE CASE OF A BRAZILIAN METROPOLIS
ÁREA: ICIEOM2023 / 02.Circular Economy and Sustainable Operations and Supply Chain Management
AUTORES:
LUCAS MENEZES PEREIRA;FRANCISCO GAUDÊNCIO MENDONÇA FREIRES
10.14488/ijcieom2023_full_0032_37760
plastic waste management, circular economy, structural equation modelling
This paper aims to use Partial Least Square Structural Equation Modeling (PLS-SEM) to suggest improvements for increasing the performance of plastic waste management in Salvador, the third most populated Brazilian city, in a country that keeps open dumps as the destination of most of the Municipal Solid Waste (MSW). To achieve the objective, it was necessary a literature review of successful cases from countries and an analysis of the local market. The data collection concerns plastics recycling, waste management company profiles, and strategic analysis. There was also: elaboration and delivery of a survey to the academic and professional public; analysis of the data collected via software; and suggestions regarding plastics recycling rate, market maturity of this kind of waste, and socio-economic and infrastructural aspects for optimal reverse logistics performance (effectiveness with efficiency). Thus, it must achieve more profitability in reducing the waste in inadequate spots and feeding the socio-environmental impact entrepreneurship for benefit of the Circular Economy. The coefficients of determination, outer loadings, outer weights, collinearity statistics, and bootstrapping values were measured and suggested that model provides consistent quantities for recommending improvements.
ICIEOM2023_FULL_0032_37791
SYSTEMATIC LITERATURE REVIEW ON REVERSE LOGISTICS OF WASTE ELECTRICAL AND ELECTRONIC EQUIPMENT: RECOMMENDATIONS AND OPPORTUNITIES FOR FUTURE RESEARCH
ÁREA: ICIEOM2023 / 02.Circular Economy and Sustainable Operations and Supply Chain Management
AUTORES:
FLÁVIA GONTIJO CUNHA;RENATO DA SILVA LIMA
10.14488/ijcieom2023_full_0032_37791
reverse logistics, e-waste, systematic literature review
The exponential growth of consumption of Electrical and Electronic Equipment (EEE), together with the absence of Reverse Logistics process (RL) and sustainable production, contribute to the generation of Waste Electrical and Electronic Equipment (WEEE) in significant quantities. For these reasons, the researches in the subject increases substantially, mainly in countries that have a higher rate of WEEE generation. The need to implement an RL system within regulatory conditions and appropriate techniques has become a challenge. Thus, the objective of this systematic literature review is to better understand the current state of WEEE reverse logistics, and thereby identify the gaps, in order to outline future directions for research on the topic. The results showed that the Asian continent had a greater number of countries with research and publications on the subject. Most studies applied the following research methods: case study, and modeling and simulation. Among the 48 articles analyzed in detail, none proposed the application of the agent-based simulation method. A good way to start research on the topic is by using keywords such as: Reverse Logistics, E-waste, Electronic Waste, WEEE and Sustainability.
ICIEOM2023_ABST_0050_37801
TESTING THE ?WHEEL OF SLAVERY? THEORETICAL FRAMEWORK IN BRAZILIAN SUPPLY CHAINS
ÁREA: ICIEOM2023 / 20.Supply Chain Risk Models and Resilience
AUTORES:
RODRIGO MARTINS BAPTISTA;ROXANA MARIA MARTINEZ ORREGO;RAQUEL CYMROT;JOSE TADEU COUTINHO E SILVA;ALAÉRCIO NICOLETTI JUNIOR
10.14488/ijcieom2023_abst_0050_37801
modern slavery, supply chain, risk, supply chain resilience
The research aims to examine the impact of the wheel of slavery model on reducing the risk and improving the resilience of supply chains in the context of modern slavery in Brazil. Modern slavery is a global issue that affects workers and supply chains around the world. Companies, governments, and institutions are taking action to address this problem, including enacting laws that require large companies to identify and manage the risks of modern slavery in their supply chains. Yet this issue still receives insufficient attention from researchers, and the conditions of slave labor are still denied by some companies. The Wheel of Slavery model is being piloted to propose insights to decrease the risk of modern slavery practices and enhance supply chain resilience. The model represents modern slavery as a continuous vicious cycle that depends on three components: the conditions that favor slavery practices, the nature of the practices, and the system for maintaining slavery in supply chains. The study is based on previous research on modern slavery as a management practice and the supply chain resilience factors.
ICIEOM2023_FULL_0041_37729
THE APPLICATION OF AN IMPROVEMENT OPPORTUNITY MODEL IN THE REDUCTION OF THE RESPONSE TIME OF USERS FROM THE USER TRIAL PROGRAM
ÁREA: ICIEOM2023 / 11.Lean and Agile Operations
AUTORES:
MATHEUS VENTURINI DE TOLEDO;MARCELO ALBUQUERQUE DE OLIVEIRA;YASMIM SILVA MING;MARCELO SILVA PEREIRA
10.14488/ijcieom2023_full_0041_37729
lean project, process improvement, improvement opportunities diagnosis model.
Efficient processes are a differential for high-performance teams, as delivering on time with quality and without wasting resources is the recipe for customer satisfaction. The way to put it into practice is to start looking at the whole process, identify the main issues, and work on a solution. It directly affects the team backlog and other involved parties, such as the development team, project management decisions, and due dates. When the user reports a problem, it should be addressed as soon as possible to the development team containing all necessary information for analysis. However, not always the users can provide the requested information in a short period because they are not technical enough to provide what is being requested, which causes a delay in the response time. Building an approach based on a model that helps the team in diminishing the user?s reply time and helps the team members to use a standardized model of communication that facilitates the user?s comprehension would help the team to save time and, consequently, the development team to solve the problem in less time. The proposal of the model applied was to identify problems and provide a solution for them. In this research, we are going to show how an improvement opportunity model helped the team to identify these problems within their value stream, how the action plan was defined and how these actions worked to reach results that reduce the impact of the encountered problems.
ICIEOM2023_FULL_0034_37790
THE IMPLEMENTATION OF LEAN HEALTHCARE SIX SIGMA IN A PUBLIC HOSPITAL
ÁREA: ICIEOM2023 / 04.Healthcare Management
AUTORES:
CYNARA MENDONCA MOREIRA TINOCO;CAMILA FABRICIO POLTRONIERI;ELSA MELO
10.14488/ijcieom2023_full_0034_37790
education, healthcare, hospital management
The area of health has made considerable advances in terms of research and practices related to improvements to its management and search for quality. In continuation along this path, many hospitals have invested in the implementation of the Lean Six Sigma as a means of reaching such improvements. Due to this importance and noting that many of these initiatives are generally carried out through consultancy by members external to the hospital, the present work seeks to carry out a diagnosis of the situation in the hospital and propose improvements in order that the hospital team itself receives training and is able to perform the necessary improvements. To this end, a partnership was made between a Brazilian public university and a public emergency hospital located in the metropolitan region of the capital of the state of Goiás in Brazil, and which was registered as a research project within the university to which it is linked. The main result presented in this article is the diagnosis made followed by the proposal for improvement, which served as the basis for the implementation of Lean Healthcare Six Sigma in the hospital, which will be presented in future publications.
ICIEOM2023_FULL_0032_37749
USE OF ESSENTIAL OILS AND BIODEGRADABLE PACKAGING IN FOOD: AN ALTERNATIVE TO REDUCE ENVIRONMENTAL IMPACTS AND IMPROVE FOOD SAFETY
ÁREA: ICIEOM2023 / 02.Circular Economy and Sustainable Operations and Supply Chain Management
AUTORES:
JEAN PEREIRA;NICOLE CECCHELE LAGO;CAMILA KOLLING;JANINE FLEITH DE MEDEIROS;JOSE LUIS DUARTE RIBEIRO
10.14488/ijcieom2023_full_0032_37749
green packaging, food safety, sustainability.
Based on a systematic literature review, this study aims to list the main essential oils used in biodegradable films in the context of food packaging. Although some studies have developed and tested specific possibilities regarding more sustainable alternatives for these packaging, there is no systematization regarding the possible materials used in developing packages using essential oils or compounds found in essential oils. We describe the main materials used for film forming with natural polymers. Among these materials, the mixture of organic compounds stands out, which intends to unite the mechanical and formation properties, aiming at film structures applicable to food packaging. Results can contribute to sustainable development in the food industry since incorporating essential oils in biodegradable films is an alternative to reducing environmental impacts. Thus, seeking helping decision-making processes in the food industry, we systematized the results by describing each material's advantages and disadvantages.
ICIEOM2023_FULL_0044_37771
USE OF TRANSPORTATION PROBLEM IN A WATER COMPANY
ÁREA: ICIEOM2023 / 14.Operations Research
AUTORES:
PAMELA ADELINO RAMOS;FELIPE ARAUJO PEREIRA
10.14488/ijcieom2023_full_0044_37771
operational research, transportation problem, solver
Operations Research uses mathematical models to help decision-making in companies. Through it, it is possible, for example, to allocate resources to reduce the production cost of a given product. Based on the advantage obtained through the application of Operational Research, it is possible to use its methodologies and tools to get data and thus manage resources that improve decision-making. This study aims to use the Solver tool as an analysis method for cost management in the transport sector of a water company in Brazil. As criteria for analysis, this study will use linear programming by applying the transportation problem as a proposal to improve the organisation's resource management based on the number of vehicles available by the company and the fuel costs of the equipment. As a result, it was found that the company can reduce fuel costs by adapting and better targeting vehicles between regions and standardising the categories of vehicles used. As a proposal for continuous improvement, this study suggests implementing alternatives for the sector's cost management.
ICIEOM2023_FULL_0031_37686
USING ROBUST APPROACH CONCEPT TO SOLVE THE PRODUCTION PLANNING PROBLEM IN MANUFACTURING SYSTEMS
ÁREA: ICIEOM2023 / 01.General Topics of Production and Industrial Engineering
AUTORES:
MARCELO CARNEIRO GONÇALVES;RAIMUNDO JOSÉ BORGES DE SAMPAIO;RAFAEL RODRIGUES GUIMARÃES WOLLMANN;ELPIDIO OSCAR BENITEZ NARA;IZAMARA CRISTINA PALHETA DIAS
10.14488/ijcieom2023_full_0031_37686
robust optimization, linear programming, convex programming
The use of Linear Programming (LP) models to plan production has been widely used to provide optimal solutions. However, LP models as well as models based on Material Requirements Planning (MRP) use deterministic parameters. In this context, one of the classic approaches to deal with a dynamic and uncertain scenario is the robust approach, which proposes a suboptimal solution through deterministic approaches capable of incorporating variations in the problem solutions. A parameter that is subject to such variation is the system's production capacity, since this parameter is directly impacted by the way the system is workloaded and its cycle times. Thus, to analyze the relationship among system?s production capacity, cycle time and work-in-process, an alternative is modeling the production system as a queuing system using little?s law. This research aims to solve the production planning problem modeled as a queuing system to propose managers a production planning model that uses efficient, simple and robust methods. Therefore, a theorem was proposed to prove the effectiveness of the used method. As a result, the mathematical model obtained allows the planner to make the use of a robust linear programming model, with low computational cost, capable of obtaining good quality solutions when compared to complex nonlinear programming problems. Finally, the model was submitted to a numerical experiment to better illustrate how it works with the inputs from an electronic component manufacturing company.
ICIEOM2023_ABST_0032_37785
WEIGHTS DEFINITION PROCEDURE FOR SUSTAINABILITY INDICATORS IN THE SWINE SUPPLY CHAIN
ÁREA: ICIEOM2023 / 02.Circular Economy and Sustainable Operations and Supply Chain Management
AUTORES:
FLAVIO TROJAN;SILVANA DALMUTT KRUGER;ANTONIO ZANIN;MAURO LIZOT;PAULO SÉRGIO LIMA PEREIRA AFONSO
10.14488/ijcieom2023_abst_0032_37785
weights definition, sustainability indicators, triple bottom-line, swine supply chain
Sustainability in swine supply chains needs to be evaluated by environmental, social and economic indicators. According [1] environmental performance indicators to evaluate soil, water, air, energy and environmental practices; social performance indicators related to human capital and social interaction; and economic performance indicators that address labor remuneration and return on investment. The performance of the swine supply chain companies from the three triple bottom-line (TBL) dimensions is significantly different, and with negative and positive impacts related to specific metrics. The economic dimension commonly presents a better performance than the environmental and social ones, in the most cases [2]. Because swine supply chains generate significant environmental impacts and must be measured and correctly managed, the weights definition (importance levels to the indicators) also represents a relevant task in this measurement [2]. According to the Bellagio Principles [5], economic, social and environmental metrics are fundamental in sustainability assessments [6]. Specific studies about soil analysis, energy production, including greenhouse gases and their waste [7], or the impacts of waste on the environment [4], reveal the need for integrated measures to assess the sustainability of pig production [8], considering environmental, economic, and social variables in order to improve sustainability in supply chains [9], and, particularly, in livestock supply chains [9,10]. Thus, both positive and negative impacts must be measured and analyzed in a multi-criteria analysis and terms of importance levels [8]. Furthermore, there is also a predominance of different levels of importance in the TBL dimensions and theirs respective indicators that should be considered. Particularly, environmental impacts from production and consumption of resources in the swine supply chain are mostly identified and affect households, firms, and society [3]. A summarized structure of the methodology used in this work and based on the dimensions and general indicators adapted from [1] is presented in sequence to demonstrate the relevant criteria (indicators), found in literature for assessment of swine supply chain. Environmental Indicators ? GROUND: Soil Physical-Chemical Analysis, Soil conservation practices, Land occupation; ? WATER: Source used for animal consumption, Facilities distance from the sources, Conscious use of water; ? AIR Greenhouse gas emissions, Air quality; ? ENERGY: Total energy use, Waste treatment; ? ENVIRONMENTAL PRACTICES: Regularization, Animal Welfare. Social Indicators ? HUMAN CAPITAL: Satisfaction with the countryside, Work System, Personal training and development; ? SOCIAL INTERACTION: Quality of life, Social participation, Social programs, Perception of environmental impacts, Providers; Economic indicators ? LABOR REMUNERATION: Labor remuneration value; ? RETURN OF INVESTMENT: Return per housed pig, Net profit, Payback time. These indicators was grouped in this work in pairwise comparisons and analyzed by experts in order to define importance levels for criteria by AHP method application. The AHP method uses the Saaty´s scale [11] in which are attributed values of importance intensity in each criteria comparison (1 to 9). The inverse attributed value for the each comparison is considered as ( 1/1 to 1/9 ). Thus, with the application of this method is possible to recognize the relationships among criteria (indicators), in terms of importance levels, as well as among the global TBL dimensions. As each criteria or each indicator used in the assessment of swine supply chain needs to be evaluated in terms of importance level, based on the each specific application, it is important to construct a procedure to analyze the criteria weights in every case and based on the experts point of view. So, in this work we present a procedure and data comparisons between d
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