5G TECHNOLOGY AND THE ECONOMIC IMPACT ON INDUSTRY 4.0 (A MICROECONOMIC ANALYSIS)
ICIEOM2023 / 05.Human development and digital training for operation management in emergencies
FRANCISCO JOSE CURVELLO DE ANDRADE;MARCIO ALVES SUZANO;LUIS CLAUDIO BERNARDO MOURA
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.
A DECOMPOSITION SCHEME IN PRODUCTION PLANNING BASED ON LINEAR PROGRAMMING THAT INCORPORATES THE CONCEPT OF A DYNAMIC PLANNING ENVIRONMENT
ICIEOM2023 / 01.General Topics of Production and Industrial Engineering
IZAMARA CRISTINA PALHETA DIAS;RAIMUNDO JOSÉ BORGES DE SAMPAIO;RAFAEL RODRIGUES GUIMARÃ£ES WOLLAMANN;MARCELO CARNEIRO GONÃ§ALVES;ELPIDIO OSCAR BENITEZ NARA
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.
A FRAMEWORK FOR INTEGRATED DECISION-MAKING IN RAILROAD NETWORKS
ICIEOM2023 / 14.Operations Research
RESHMA CHANDRASEKHARAN;RAJESH NATARAJAN V
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.
A PROPOSAL FOR THE INTEGRATION OF THE CIRCULAR ECONOMY AS AN OBJECTIVE OF PRODUCT PORTFOLIO MANAGEMENT
ICIEOM2023 / 02.Circular Economy and Sustainable Operations and Supply Chain Management
DANIEL JUGEND;BRUNO MICHEL ROMAN PAIS SELES
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.
AN ANALYSIS OF THE GUIDELINES FOR TRAINING MANAGERS TO IMPROVE THEIR INDUSTRY 4.0 KNOWLEDGE CONSIDERING FOUR THEORIES OF ADMINISTRATION
ICIEOM2023 / 07.Industry 4.0 and Cyber physical systems
GUSTAVO TIETZ CAZERI;TIAGO FONSECA ALBUQUERQUE CAVALCANTI SIGAHI;IZABELA SIMON RAMPASSO;LUIS ANTONIO DE SANTA-EULALIA;ROSLEY ANHOLON
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
ANALYSIS OF GENDER AND PROGRAMMING EXPERIENCE AS MEDIATORS BETWEEN ATTITUDES TOWARD PROGRAMMING AND COMPUTATIONAL THINKING AMONG ENGINEERING STUDENTS
ICIEOM2023 / 21.Teaching and Learning in Industrial Engineering and Operations Management
ISOTILIA COSTA MELO;CAROLINA ROJAS-CÓRDOVA;PAULO NOCERA ALVES JUNIOR;ÍTALO DONOSO;ARIEL AREYUNA
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.
APPLICATION OF THE SUGENO-TAKAGI-KANG FUZZY LOGIC FOR DEMAND FORECASTING IN THE SUPPLY CHAIN, A FUZZY TEMPORARY SERIES FORECAST MODEL (FTS) PROPOSAL
ICIEOM2023 / 12.Logistics and Supply Chain Management
FRANCISCO TREJO;RAFAEL TORRES ESCOBAR
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.
ARTIFICIAL INTELLIGENCE APPLICATIONS FOR DEFECT DETECTIONS IN INDUSTRIAL PROCESSES: A BIBLIOMETRIC ANALYSIS
ICIEOM2023 / 07.Industry 4.0 and Cyber physical systems
DIOGO GOMES DE SOUSA BEZERRA;SANDERSON CÉSAR MACÊDO BARBALHO;MARCELO BECKER;DIEGO CESAR FLORENCIO DE QUEIROZ;LEONARDO ANANIAS DE LIMA FELIPPE
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.
BUSINESS PROCESS MANAGEMENT AND DIGITAL INFORMATION AND COMMUNICATION TECHNOLOGIES IN PUBLIC SECTOR
ICIEOM2023 / 13.Operations in the Public Sector
VITOR DA SILVA PALACIOS;RENATO DE CAMPOS;JOSÉ DE SOUZA RODRIGUES
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.
CAN THE VALUE CHAIN OF MINING TIRES BE CIRCULAR?: THE CASE OF CHILEAN MINES
ICIEOM2023 / 02.Circular Economy and Sustainable Operations and Supply Chain Management
ISABEL MARGARITA ORDENES SARABIA;CAROLINA ROJAS CÓRDOVA;CONSTANZA CRUZ ROJAS;SEBASTIÁN HERRERA LEÓN
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
CIRCULAR AND SUSTAINABLE PRODUCTIVE PROCESSES: AN APPROACH TO THE PRACTICES ADOPTED IN THE INDUSTRIAL POLE OF MANAUS-AM
ICIEOM2023 / 10.Last Mile Delivery Optimization
THIAGO AZEVEDO CONTE DE MELO;MARCELO ALBUQUERQUE DE OLIVEIRA;MARCELO SILVA PEREIRA;FABIANA DAVID GOMES DE OLIVEIRA;GABRIELA DE MATTOS VERONEZE
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.
CIRCULAR ECONOMY INVESTMENTS: A PORTFOLIO SELECTION FRAMEWORK
ICIEOM2023 / 02.Circular Economy and Sustainable Operations and Supply Chain Management
GUILHERME CANDIA DONAT;JOANA SIQUEIRA DE SOUZA
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.
CRITICAL FACTORS FOR THE IMPLEMENTATION OF INTEGRATED MANAGEMENT SYSTEMS: AN ANALYSIS USING AHP
ICIEOM2023 / 22.Total Quality Management
ISABELA MAGANHA;MARCOS PAULO PAIVA;ANTONIO MOUSINHO DE OLIVEIRA FERNANDES
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.
DATA DRIVEN TO IMPROVE ROOT CAUSE ANALYSIS: A BIBLIOMETRIC ANALYSIS
ICIEOM2023 / 03.Digital Transformation and Data Science
JUAN PABLO CARRIÓN-SALAZAR;EMILIA AHUMADA-TAPIA;CAROLINA ROJAS-CÓRDOVA;ROSLEY ANHOLON;IZABELA SIMON RAMPASSO
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 . 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 , 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 .
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.  and Cobo et al. . 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? .
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
ECONOMIC ANALYSIS OF THE WIND ENERGY GENERATION: OVERVIEW AND CURRENT PERSPECTIVES
ICIEOM2023 / 02.Circular Economy and Sustainable Operations and Supply Chain Management
LUIZ CÉLIO SOUZA ROCHA;PAULO ROTELLA JUNIOR;ALIREZA MAHERI
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 , which now account for around 30% of electricity generation in the world . 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 . 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 . Given the current high fossil fuel prices, renewable electricity has become even more competitive . 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 . 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 . 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 . 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 . 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
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