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Disertaciones |
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1
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RODRIGO DE PAULA OLIVEIRA
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Support for decision-making in a logistics e-marketplace through Agent-Based Simulation
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Líder : ALEXANDRE FERREIRA DE PINHO
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MIEMBROS DE LA BANCA :
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ALEXANDRE FERREIRA DE PINHO
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RENATO DA SILVA LIMA
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ROSINEI BATISTA RIBEIRO
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Data: 27-feb-2023
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Resumen Espectáculo
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The growth of the internet favored the development of electronic marketplaces, online platforms that act as intermediaries in the negotiation process between two independent parties. When inserted in the context of load transport, they are known as a logistics emarketplace, and it connects the agents involved in the movement of various goods. Despite the advantages, several electronic marketplaces have failed recently due to the low performance of the platform. In this context, correct decision making, mainly at the tactical and strategic levels, can be a determining factor for the organization to present a satisfactory performance in the market in which it is inserted. One of the techniques that collaborate to help the decision-making process is the Agent-Based Simulation (ABS). ABS is a computer simulation method, and it is recommended when the analysis to be performed involves many individuals who have well-defined decisions and behaviors. The literature, despite being composed of several works that developed an ABS model to assist the decision-making process, still lacks studies that use the method in the logistics e-marketplaces environment. In fact, the dynamics of electronic marketplaces – not just the freight transport model – is still a field to be explored in academia. Thus, this work aims to develop an SBA model able to analyze the impact that different customer acquisition channels have on the final number of new users of a logistics e-marketplace, in order to support the decision making of the organization's managers. In general, three important topics obtained in this research can be highlighted: 1- the elaboration of a conceptual model, as suggested by the methodology, favored the visualization of the process to be modeled; 2 - the ODD Protocol (Overview, Design Concepts and Details) was adequate to fulfill all the activities proposed in the first phase of the simulation methodology, in addition to facilitating the replication of the model by other researchers; 3 - the validation of the model, performed in order to combine two methods, was developed in a more robust and reliable way. Regarding the results of the simulation, it was possible to establish the scenarios with the greatest impact on activating new customers in the logistics e- marketplace, in addition to defining an order of priority for the acquisition channels when making new investments. In the alternative scenario that was observed the best performance, there was improvements of up to 20% in the conversion rate of new users compared to the initial scenario. In addition, the “indicação interna” acquisition channel was defined as the priority to be invested and may improve the conversion rate of potential users by up to 16.9%. As future works, the study based on “cost benefit” is suggested, as well as the analysis of the causalities between the acquisition channels.
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2
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YAGO TOLEDO LIMA
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Utilizing Machine Learning in Order to Include Human Emotional Factors in Simulation Projects
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Líder : JOSE ARNALDO BARRA MONTEVECHI
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MIEMBROS DE LA BANCA :
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JOSE ARNALDO BARRA MONTEVECHI
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MONA LIZA MOURA DE OLIVEIRA
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RAFAEL DE CARVALHO MIRANDA
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Data: 07-mar-2023
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Resumen Espectáculo
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Computational simulation is a widely used tool for monitoring and optimizing performance indicators in both academia and industry. However, human operators are commonly represented as resources with constant nominal production in simulation models. Such models are often insufficient, as they disregard the inherent variations due to human physiology. Although there are ways to represent such variations in human performance in the academic literature, emotional factors are rarely addressed. Moreover, the studies that seek to model the psychophysical attitude, which includes emotions, of the operator usually require sophisticated equipment or time-consuming forms to be filled by the operators. To present an alternative for the inclusion of the emotional human factor in simulation models, this work uses a machine learning model to identify the apparent mood of operators from footage of a manufacturing production line in operation. This approach does not interfere with the workload of the operators nor require any extra equipment other than a common video camera, filling a gap observed in the literature. This study revealed 66 statistically significant correlations between the mood variables estimated by the machine learning model and operation time on the assembly line. It was also shown that the probability distribution functions for the operation time differ significantly when considering different classes of mood. Lastly, those different curves were demonstrated in a simulation model. The results show an improvement trend in the model’s results, thus demonstrating the viability of this technique.This study also provides instructions for applying the proposed technique that can be used in similar projects. Besides simulations, this technique can be applied to a variety of fields including defects prevention, occupational health and safety.
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3
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RENAN RYUJI MURASHITA TAKENAKA
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A COMPARATIVE STUDY BETWEEN THE SIMULTANEOUS CONTROL CHART (X-BAR, S) AND THE SHEWHART CONTROL CHARTS FOR MEAN AND STANDARD DEVIATION
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Líder : PAULO HENRIQUE DA SILVA CAMPOS
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MIEMBROS DE LA BANCA :
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ALEXANDRE FONSECA TORRES
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ANDERSON PAULO DE PAIVA
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ANTONIO FERNANDO BRANCO COSTA
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JULIANA HELENA DAROZ GAUDENCIO
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PAULO HENRIQUE DA SILVA CAMPOS
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Data: 16-mar-2023
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Resumen Espectáculo
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Control charts are tools from Statistical Process Control widely used to monitor key quality characteristics of a product or service. For being extremely efficient in monitoring and improving quality, research is needed to investigate different approaches. However, the diversity of control charts and application methodologies makes the selection of the best combination to implement in a process harder. Furthermore, some works shows a few or no comparison between related subjects, making the selection even harder. The simultaneous (X-bar,S) control char is a case where the presented comparison raise doubts about is effectiveness even compared to Shewhart charts for mean (X-bar) and standard deviation (S). Therefore, this study aims to compare Shewhart control charts for mean (X-bar) and standard deviation (S) with the simultaneous (X-bar,S) chart in terms of ease of identifying the process state, performance with the average run length (ARL), and ability to determine when the deviation occurred in the sample series. To do so, the procedures for constructing control charts were presented, data were simulated to calculate the NMA, and a visual evaluation of the information presented in the charts was carried out. As a result, the innovations presented in the simultaneous (X-bar,S) chart shows inferior advantages compared to traditional Shewhart charts.
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4
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ANTÔNIO ALVES DOS SANTOS JÚNIOR
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ANALYSIS OF BUSINESS PARTNERSHIP DEVELOPMENT PROJECTS BETWEEN STARTUPS AND LARGE COMPANIES IN AN OPEN INNOVATION CONTEXT: CASE STUDY
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Líder : CARLOS HENRIQUE PEREIRA MELLO
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MIEMBROS DE LA BANCA :
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ANDREA APARECIDA DA COSTA MINEIRO
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CARLOS HENRIQUE PEREIRA MELLO
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EDUARDO GOMES SALGADO
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JULIANA HELENA DAROZ GAUDENCIO
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Data: 05-abr-2023
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Resumen Espectáculo
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This work proposes the development of a study to guide the business relationship between Startups and Large Companies, analyzing the network and orchestration mechanisms that govern their interactions, identifying bottlenecks that compromise existing relationships and discussing the best practices that can guide future relationships. Therefore, the concept of Startups and the mechanisms of interaction between them and large corporations in a concept of Open Innovation were explored. The adopted methodology was field study, with bibliographical research and interviews for data collection. As expected results, some aspects identified in the theory on the subject can be confirmed from the interactions with the interviewees. Others will not be so evident and will demonstrate, from the data collected and analyses, the influence of specific characteristics and realities in this process, which are also targets to be discovered in this study. The conclusion of the work should present important contributions for the different actors within this process: the network and orchestration mechanisms between the actors involved; large corporations and the challenge of operationalizing the relationship; and startups, with the challenge of effectively transforming such a relationship into a partnership for successful innovation.
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5
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LEONARDO LOURENÇO DE SOUZA
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Performance measurement system analysis: case study in public transport service notices
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Líder : JULIANA HELENA DAROZ GAUDENCIO
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MIEMBROS DE LA BANCA :
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FABIANE LETÍCIA LIZARELLI
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CARLOS HENRIQUE PEREIRA MELLO
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JOAO BATISTA TURRIONI
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JULIANA HELENA DAROZ GAUDENCIO
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Data: 03-may-2023
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Resumen Espectáculo
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The pursuit for excellence in services and the interest in measuring service quality are considered important strategies used by organizations to achieve competitive advantage. In the same context, we have public services characterized as all activities that the Estate performs to satisfy public needs through the typical procedure of public law. Today, through concession contracts, many public services are provided indirectly. The Federal Constitution of 1988 establishes that public transport is a type of public service that must be offered to the population. Public transport is a democratic way for society to have access to goods, services and activities, however, its use is decreasing due to several factors, mainly due to the low quality of the service provided. To meet the needs of users and verify that the service meets contractual requirements, measuring quality performance is important, both for service providers and for the inspection body. In this context, the general objective of the research is the analysis of the performance measurement system with a focus on improving the quality parameters to be integrated in the public notice for contracting the public transport service offered in the city of Itajubá-MG. City in which, due to the user’s complaints about public transport, the parliamentarians of the City Council requested that measures were taken in relation to the service provided and an inspection of the concessionaire was carried out, thus, improving the quality of the service. The method applied was the multiple case study, through the following steps: initially a bibliometric analysis and literature review were carried out, both dealing with the review and context of the available literature on the performance measurement system and quality with a focus on public services, establishing the theoretical support and the research problem; then the cases were selected, including the case of Itajubá-MG and 02 cities in the state of São Paulo; the research protocol was elaborated, validated by specialists in the area; and then conducted data collection and reporting of individual cases and cross-case reporting. Some relationships and information between the analyzed cases were identified. Among the results, we highlight the proposal of a performance measurement system involving 15 important parameters to measure the quality of the services provided and to be integrated in the public transport hiring notice, they are: adaptation for people with special needs, accessibility, existence of benches and coverage at bus stops, frequency, drivers skill, information, punctuality, rate, tariff integration, cleanliness, age of fleet, cordiality of employees, public safety and environment. In addition, some actions were exposed to assist in the evaluation of this service for the management of the contract and guidelines on the importance of monitoring the indicators to maintain the quality of the service provided. It is expected that the results obtained will be a subsidy to help the competent body evaluate and supervise the services provided. The performance measurement system allows better efficiency and effectiveness in actions by both the concessionaire and the managing body, impacting the quality of services provided to users. The results obtained can contribute to the city's transport system and be used as a model to monitor the quality of any public service offered by the municipal body of Itajubá-MG, as well as for other cities. Also, it is expected that the renewal and the next concession contracts for this service may incorporate the guidelines listed here, in order to reverse the trend of reduced demand for collective public transport by bus and improve user’s satisfaction.
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6
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THAIS FERNANDA SOUSA PIRES
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Multi-objective Robust Optimization of Helical Milling of Super Duplex Stainless Steel UNS S32760
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Líder : JOAO ROBERTO FERREIRA
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MIEMBROS DE LA BANCA :
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JOAO ROBERTO FERREIRA
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LINCOLN CARDOSO BRANDÃO
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PAULO HENRIQUE DA SILVA CAMPOS
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ROBSON BRUNO DUTRA PEREIRA
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Data: 03-may-2023
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Resumen Espectáculo
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Super duplex stainless steels have a mixed microstructure consisting of ferrite and austenite phases and are used especially in the oil and gas industry, but have low machinability. The helical milling process consists of rotating the cutter around its own axis combined with the helical feed, it presents greater processing efficiency and lower cost compared to the conventional drilling process and allows obtaining holes of different diameters. The process also has advantages such as high levels of surface quality, greater dimensional accuracy and shape quality, lower levels of cutting efforts and greater smoothness in the machining operation. This work consists of a robust multi-objective optimization of helical milling of the super duplex stainless steel UNS S32760. The experimental design was carried out with a central composite arrangement, considering as control factors the axial feed per tooth, the tangential feed per tooth and the cutting speed. Mean roughness responses, axial thrust force and circularity deviations were evaluated. The robust parameter design was used, the response surface methodology for conducting the experiments, analysis and modeling of the responses of interest, and multi-objective optimization was performed through the methods of optimization of multi-objective particle swarm with agglomeration distance (MOPSO-CD) and non-dominated sorting genetic algorithm (NSGA-II). For the robust parameter design, the overhang length of the cutter (lto), the measured height of the machined hole (lb) and the cutting fluid flow rate (Q) were considered as noise variables. Robust multi-objective evolutionary optimization allows the evaluation of process factor levels. Different attributions for the objective functions were analyzed in order to obtain optimal solutions on the Pareto Frontier for the evaluated responses.
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7
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JAÍNE CÁSSIA FONSECA AMARAL
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Multicriteria model for benefit/cost analysis in a constructive process of urban mobility - case study in Santa Rita do Sapucaí, MG
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Líder : JOSIANE PALMA LIMA
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MIEMBROS DE LA BANCA :
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ALEXANDRE FERREIRA DE PINHO
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JANAINA ANTONINO PINTO
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JOSIANE PALMA LIMA
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Data: 04-may-2023
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Resumen Espectáculo
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Cities are characterized by problems since the industrial revolution that generated an accelerated urbanization, which resulted in a need for construction processes of infrastructure for the population, disregarding the evaluations of resource use from different areas, such as social, environmental, economic, historical and cultural aspects of urbanized places. Some authors address the disorderly growth of urban areas, simultaneously with the discontinuity of works, which result in waste of resources at municipal, state and federal levels and do not serve the population. Despite the creation of the Ministry of Cities and the National Urban Mobility Policy, there is a lack of a structured evaluation method with ustainability criteria for selecting infrastructure construction processes that maximize benefits/advantages and minimize costs/disadvantages for the population. In this way, the objective of the work was to develop a combined model of cost-benefit analysis, using a multicriteria tool to evaluate the use of economic, environmental and social resources in the construction process of transport infrastructure and urban mobility. Through the theoretical foundation, several international initiatives for process evaluation were verified, with emphasis on The Green Book of the United Kingdom and it was verified that Brazil does not have the selection of proposals and processes outside of strictly objective criteria. We then sought to build and test the applicability of the model in the project of Vila Criativa, Vila Feliz in Santa Rita do Sapucaí, Minas Gerais, creator of the Movimento Cidade Criativa, Cidade Feliz, which uses the city as a platform to increase people’s quality of life. . Twenty-six (26) criteria were defined for the combined methodology of Analytic Hierarchy Process (AHP) and Benefit-Cost Analysis (ABC), submitted in comparison matrices for evaluation by 9 (nine) specialists. The criteria and their respective threevalued metrics were defined to contribute to the application of data in the tool ABC de Constructive Processes of Infrastructure (ABCINFRA). The tool contributes to the generation of an individual assessment report for each construction process for each sustainability resource in both benefit/advantage and cost/disadvantage classes. The application of the model in the construction process of Vila Criativa, Vila Feliz, allowed the validation of the technical criteria, expert weighting, determination of critical points and the entire construction of the tool through combined methods, contributing to the manager's decision-making in the application of the public resources connected with the purpose of sustainability and mobility. The tool made it possible to determine that the constructive process object of study minimized the costs/disadvantages and maximized the benefits/advantages, being viable for the city/people, mainly in the social resource that had a performance of 100% in both classes, followed by the economic resource and finally the environmental resource. In this way, the work met the main and specific objectives and provided a scientific contribution with the definition of technical performance criteria and metrics through the ABCINFRA data processing tool that delivers the quantitative analysis of the AHP and critical points and can also be used by the public managers/decision makers directed to constructive processes. It is suggested, as future works, the application of the ABCINFRA model, in different cities, contributing to new comparisons and analyses. As well as the expansion of specialists, representing the different Brazilian states.
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8
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JOANA DARC TEODORO BONALDI
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Implementation of a Traceability System in a Technology-Based Company with Emphasis on Industry 4.0 Technologies
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Líder : JULIANA HELENA DAROZ GAUDENCIO
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MIEMBROS DE LA BANCA :
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CARLOS EDUARDO SANCHES DA SILVA
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CARLOS HENRIQUE PEREIRA MELLO
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JOSE CARLOS DE TOLEDO
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JOSE HENRIQUE DE FREITAS GOMES
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JULIANA HELENA DAROZ GAUDENCIO
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Data: 25-may-2023
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Resumen Espectáculo
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With the advent of Industry 4.0 and the approach of a connected production system using Industry 4.0 technologies, the adoption of traceability systems becomes an essential application of this new industrial era. The work takes into account the need for small and medium-sized companies to improve the processes carried out, through the use of technologies mentioned in the pillars of Industry 4.0. In this context, the work proposes to develop a traceability system applied to the production chain of stainless-steel capacitor tanks with the reading of the bar code in stainless steel AISI 304 and stainless steel AISI 409 of one of the units of a Brazilian company located in Itajubá, south of Minas Gerais. Initially, a systematic literature review conducted based on the PRISMA protocol was adopted, covering the Scopus and Web of Science databases, which allowed the selection of the most relevant articles on this topic. The methodology used was Action Research in which it was possible to develop and implement the proposed traceability system called RAST 4.0. Through a pilot batch, it was possible to collect data and analyze them through the stages of the PDCA cycle; thus, an Action Plan was developed with the purpose of solving the flaws found. Continuing with the action-research stages, with the application of the Action Plan, the company achieved improvements through simple actions, thus generating the 2nd Pilot Batch, which was monitored and tested within the process, resulting in time taken for each of tasks and maintaining traceability from the beginning to the shipment of the capacitor tank to the customer, through internal traceability.
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9
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RAPHAEL LOPES MARTINS
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MODELING OF PROCESSES AND DECISIONS: A STUDY APPLIED TO THE PROCESS OF DRUG TREATMENT IN ONCOLOGY
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Líder : FABIANO LEAL
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MIEMBROS DE LA BANCA :
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ALEXANDRE FERREIRA DE PINHO
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ALEXANDRE FONSECA TORRES
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FABIANO LEAL
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Data: 23-jun-2023
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Resumen Espectáculo
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This research proposes the study of a health area process through the modeling of processes and decisions. The modeling of processes and decisions applied to the health area can help in several factors, including the verification of control and traceability points, which reduce the risks to the patient's health and increase the quality of the service provided. The main objective of this research is to describe the logic of an oncology drug treatment process, from end to end, in order to indicate its control points and describe the logic of the decisions made in critical points of this process. The research also presents some specific objectives that are detailed in the introduction. In the theoretical foundation, the terms used during the research are clarified, in order to research the themes related to the modeling of processes and decisions, as well as their relationship in the health area. For the scientific conduct of this research, the modeling method will be used. This paper presents the creation of business process and decision models related to drug treatment in oncology through the use of Business Process Model and Notation and Decision Model and Notation. In addition, it aims to highlight the control points mapped in the process and address them using the 5W1H tool. The model created in BPMN will be exposed to the application of some comprehensibility guidelines, evaluating which ones were followed by the model and the work that was done to adapt the model to comply with others. It is intended to apply a method of verification and validation of diagrammatic models which is still under development and will be detailed during this research. Finally, this work concluded that the BPMN notation was effective in mapping the cancer treatment process, demonstrating the already established control points and the risks at certain points in the process. Also, the application of the DMN notation and its relationship with the BPMN notation was discussed, which showed the difficulty in applying it in processes where the decision has a high level of personalization.
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10
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BRUNO STORCH DE ALMEIDA CALIXTO
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ANALYSIS OF THE USE OF THE AHP METHOD IN THE PROCESS OF EVALUATION AND PRIORITIZATION OF OCCUPATIONAL RISKS IN A TEACHING AND RESEARCH LABORATORY OF AN INSTITUTION FEDERAL OF HIGHER EDUCATION
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Líder : CARLOS HENRIQUE PEREIRA MELLO
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MIEMBROS DE LA BANCA :
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CARLOS HENRIQUE PEREIRA MELLO
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DENISE RANSOLIN SORANSO
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JULIANA HELENA DAROZ GAUDENCIO
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LUCIANO JOSÉ MINETTE
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Data: 29-jun-2023
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Resumen Espectáculo
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The activities carried out in laboratories of Federal Institutions of Higher Education (IFES) cover several areas of knowledge, being essential for the development of scientific research, teaching activities and university extension. However, the laboratory environment exposes individuals to various occupational risks that are inherent in carrying out activities. In view of this, risk management at IFES becomes fundamental in these environments, as it reduces the risk of accidents, promotes the health and satisfaction of workers, in addition to improving operational results and the institution's image. This research presented an analysis and proposal for the use of the Analytic Hierarchy Process (AHP) technique in the risk assessment process of risk management, based on the ISO 31000:2018 Standard, which applied methods of identification, analysis, evaluation and control of occupational risks in an academic laboratory of an IFES in southern Brazil, in order to assist the specialists in occupational health and safety of that institution in prioritizing risks, making the actions of elaboration and implementation of prevention programs in occupational safety and health more assertive. For this, the Preliminary Risk Analysis method was used to identify the risks, the Risk Index method for the analysis of the severity and probability of these risks and in the evaluation stage, to prioritize the environmental risks and assist in the specialists' decision making, the final development of the research indicated the order of importance of environmental risks through the AHP. The results indicated that the environmental risks of the laboratory with the highest priority and importance for the implementation of control measures analyzed by the specialists were the Accident Risks (39.28%) and the Chemical (34.08%), followed by the Physical Risk (14 .46%) and Ergonomic (12.17%).
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11
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JONATHAN SERAFIM LÚCIO
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Simulação a Eventos Discretos; Lean Six Sigma; estrutura DMAIC; framework integrado.
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Líder : RAFAEL DE CARVALHO MIRANDA
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MIEMBROS DE LA BANCA :
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JOSE ARNALDO BARRA MONTEVECHI
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MARCELO MACHADO FERNANDES
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RAFAEL DE CARVALHO MIRANDA
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Data: 03-jul-2023
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Resumen Espectáculo
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There are many Modeling and Simulation methods available in the literature, which are commonly used in Discrete Event Simulation (DES) projects. However, most of these methods focus on constructing computational models, which results in opportunities for improvement in the problem definition and results analysis stages, as they are often overlooked. One way to address this gap is by incorporating alternative methods to DES. In this regard, the integration of the Lean Six Sigma (LSS) method, based on the Define, Measure, Analyze, Improve, and Control (DMAIC) framework, with the DES method has shown positive results in various application areas. However, the scientific literature provides few studies addressing this integration. Given this context, the present work aims to propose a framework that allows the integration of a robust and systematic problem-solving method (LSS) with a modeling and simulation tool (DES), aiming for more accurate and effective execution of discrete event simulation projects. To achieve this objective, a systematic literature review (SLR) was conducted to gather information regarding the state of the art on the topics addressed, to identify the focus of the works (DES or LSS), their structure, usage, and the main tools involved in the process, to determine in which phases of DMAIC the DES models were applied, and finally, the main elements found in works that presented some kind of framework. Among the analyzed works, only seven proposed an integrated framework, all of which were evaluated to identify past and future trends in the main practices presented. Based on these analyses, associations were established between the concepts of the two methods to relate common objectives within the same stage. Thus, the initial version of the framework was developed and subsequently subjected to evaluation through an online questionnaire, answered by experts in the areas of DES and LSS, with the purpose of being statistically validated. After considerations and tests, the final version of the framework was proposed, representing the outcome of this work.
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12
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ANDRÉ AOUN MONTEVECHI
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FRAMEWORKS FOR CREDIT RISK MODELLING USING CLASSIFICATION ALGORITHMS
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Líder : RAFAEL DE CARVALHO MIRANDA
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MIEMBROS DE LA BANCA :
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ANDRE LUIZ MEDEIROS
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ANEIRSON FRANCISCO DA SILVA
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JOSE HENRIQUE DE FREITAS GOMES
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RAFAEL DE CARVALHO MIRANDA
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Data: 04-jul-2023
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Resumen Espectáculo
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Granting credit is a vital activity in the financial industry. For the success of financial institutions, as well as the equilibrium of the credit system as a whole, it is important that credit risk management systems efficiently evaluate the probability of default of potential debtors based on their historical data. Classification algorithms are an interesting approach to this problem in the form of Credit Scoring models. Since the emergence of quantitative analytical methods with this purpose, statistical models persist as the most commonly chosen method, given their easier implementation and inherent interpretability. However, advances in Machine Learning have developed new and more complex algorithms capable of handling a bigger amount of data, often with an increase in predictive power. These new approaches, although not always readily transferable to practical applications in the financial industry, present an opportunity for the development of credit risk modeling and have piqued the interest of researchers in the field. Nonetheless, researchers seem to focus on model performance, not appropriately setting up guidelines to optimize the modeling process or considering the present regulation for model implementation. Thereby, this dissertation establishes frameworks for consumer credit risk modeling based on classification algorithms while guided by a systematic literature review on the topic. The proposed frameworks incorporate ML techniques, data preprocessing and balancing, feature selection (FS), and hyperparameter optimization (HPO). In addition to the bibliographic research, which introduces us to the main classification algorithms and appropriate modeling steps, the development of the frameworks is also based on experiments with hundreds of models for credit risk classification, using Logistic Regression (LR), Decision Trees (DT), Support Vector Machines (SVM), Random Forest (RF), as well as boosting and stacking ensembles, to efficiently guide the construction of robust and parsimonious models for credit risk analysis in consumer lending.
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13
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LUCAS GOMES PEREIRA
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Clustering as a Decision Support Technique for a Logistics E-marketplace
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Líder : RENATO DA SILVA LIMA
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MIEMBROS DE LA BANCA :
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ALEXANDRE FERREIRA DE PINHO
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ANDRE LUIZ BARBOSA NUNES DA CUNHA
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FABIO FAVARETTO
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RENATO DA SILVA LIMA
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Data: 21-sep-2023
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Resumen Espectáculo
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Road transport is one of the most impactful modes in the global transportation matrix. Despite its advantages of flexibility and availability, the sector is characterized by high fragmentation. In the past, the intermediation process in this logistics chain was inefficiently handled by freight agents in terms of time and cost. An effective solution to address the need for agility and ease is through electronic logistics marketplaces, which are systems allowing carriers to advertise their loads to truck drivers searching for freight. However, the ease of automating load and capacity matching has resulted in technology providers dealing with an unprecedented volume of data. Valuable insights about user behavior can be derived from this diverse dataset. Despite the popularity of logistics marketplaces, scientific literature has not kept pace with their growth. Given these opportunities, this study aims to identify patterns in a cargo advertisement database of a logistics marketplace using clustering, which can assist in decision-making. Following the CRISP-DM procedure, data on load postings from 2019 to 2021 were collected, and the clustering trend of the database was confirmed using RStudio software. The CLARA algorithm was subsequently employed, and the quality of clusters was assessed using the Silhouette index. The most representative group at the national level consisted of freight within the state of São Paulo, featuring full loads, covering distances of around 500 km, and requiring heavy-duty vehicles for transportation. In the context of São Paulo, the most significant partition comprised full freight journeys of just over five hours, also requiring heavy-duty vehicles. The higher frequency of full freight was attributed to its benefits, such as efficiency in space and resource utilization. The main strategies identified for the national context involve offering progressive discounts on additional services to carriers conducting a high volume of trips and targeted promotion of the logistics marketplace to potential customers interested in transporting heavy loads over medium distances. An interesting business opportunity was identified in Acre, where the company could expand its operations and provide support in a region of Brazil where road freight is less common. Additionally, encouraging the use of the platform in São Paulo for posting fractional loads was suggested, highlighting the advantages for owners of small vehicles. In conclusion, CLARA produced satisfactory results by reducing the computational complexity of a database with over three million entries, and the study revealed data clusters as potential opportunities for platform growth. However, there were instances of overlaps of structures clearly seen as distinct in the scatterplots.
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14
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JORGE YURI OZATO
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N/a
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Líder : EDSON DE OLIVEIRA PAMPLONA
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MIEMBROS DE LA BANCA :
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EDSON DE OLIVEIRA PAMPLONA
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GIANCARLO AQUILA
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VICTOR EDUARDO DE MELLO VALERIO
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WILSON TOSHIRO NAKAMURA
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Data: 29-sep-2023
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Resumen Espectáculo
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The interest in offshore wind power in Brazil is a recent development, and there is a lack of research on the actual competitiveness of this energy source in the country. This study proposes a stochastic approach to compare the levelized cost of electricity (LCOE) for offshore wind farms at five different locations along the Brazilian coast. Various possibilities of corporate taxation and the commercialization of carbon credits are also considered. To validate the comparison, the offshore wind potential of the evaluated locations is assessed by modeling the uncertainties associated with monthly variations in wind speed, as well as the economic uncertainties related to Capital Expenditure (CAPEX), Operational Expenditure (OPEX), and Decommissioning Expenditure (DECEX). Subsequently, 10,000 iterations of the Monte Carlo Simulation are conducted to calculate the LCOE for different scenarios, including taxation based on the Actual Profit Method (APM) and the Presumed Profit Method (PPM), with and without Tradable Green Certificates (TGC). The results indicate that the application of the PPM for taxation and the identification of the optimal location for wind power exploitation are the most influential factors in reducing the LCOE and the financial risk associated with offshore wind farm investments in Brazil. On the other hand, the possibility of trading TGC contributes to lowering the LCOE of projects but does not significantly mitigate the financial risk. Furthermore, the study reveals that the coastal region near the Northeast of Brazil exhibits the highest offshore wind potential, while locations in Rio Grande do Sul and Rio de Janeiro demonstrate some competitiveness, although to a lesser extent than the Northeast.
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15
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BRENDA DE QUEIROZ VIANA
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STRATEGIC PLANNING: CONDUCTION METHODOLOGY, APPLICATION AND FOLLOW-UP PROPOSED FOR THE SECRETARY OF HIGHER EDUCATION (SESu)
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Líder : JULIANA HELENA DAROZ GAUDENCIO
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MIEMBROS DE LA BANCA :
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DANY FLAVIO TONELLI
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CARLOS EDUARDO SANCHES DA SILVA
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JULIANA HELENA DAROZ GAUDENCIO
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Data: 26-oct-2023
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Resumen Espectáculo
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It is important to plan strategically for optimization of resources within educational institutions and seek continuous improvement of the quality of services provided and a strategic management of the main requirements related to teaching, research, and extension. Strategic Planning (SP) is developed as a way to assist in setting objectives, future goals, decision making, monitoring, control, and strategic organization. It should use resources such as mission, vision, values, Strategic Map and SWOT Analysis. In Higher Education Institutions (HEI), there is a need to develop an effective SP, which can align with the budget planning and always be prepared to adapt to possible budget changes and political issues being considered a legal obligation according to the Federal Constitution of 1988, decrees and laws. In Brazil, the planning, orientation, coordination, and supervision of the entire National Higher Education Policy is the responsibility of the Secretary of Higher Education (SESu), which requires the formalization and systematization of your own SP. Based on this premise, this work has as its primary objective to evaluate the actions carried out during the development of the SESu’s SP in order to identify the means of conducting, implementing, and monitoring proposed for the Secretary to meet all necessary requirements in accordance with the guidelines of the Ministry of Education (MEC). In this context, the case study method was employed, using it as an instrument of data collection interviews and remote meetings. Among the main results, it was possible to track the progress of the actions developed in all stages executed for the SESu’s SP, make a comparison with what was executed in the MEC’s SP and what was proposed by the Technical Guide for Strategic Management, seek to identify possible changes and alterations caused by the government transition, as well as model the planning process using Business Process Model and Notation (BPMN) notation and analyze the compressibility of the model.
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Tesis |
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1
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ERIVELTON ANTONIO DOS SANTOS
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What Matters in Hiring Professionals for Global Software Development or Gig Economy?
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Líder : CARLOS EDUARDO SANCHES DA SILVA
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MIEMBROS DE LA BANCA :
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DALESSANDRO SOARES VIANNA
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CARLOS EDUARDO SANCHES DA SILVA
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CARLOS HENRIQUE PEREIRA MELLO
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DALTON GARCIA BORGES DE SOUZA
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DANIEL JUGEND
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RAFAEL DE CARVALHO MIRANDA
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Data: 02-feb-2023
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Resumen Espectáculo
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Supply chains are susceptible to uncertainties, such as large-scale natural disasters, manufacturing fires, terrorist attacks, widespread electrical shutdowns, financial and political tension, and wars. Therefore, rising unemployment rates have driven the workforce into short-term contracts or the on-demand market known as the gig economy. However, selecting skilled professionals is difficult and risky when organizations are immersed in fast-paced environments. In this context, we investigated the analysis scenario of contracting professionals in global software developments (GSD). This thesis aims to develop clusters of criteria for hiring self-employed professionals in the Global Software Development or Gig Economy context. We systematically reviewed 319 criteria in 65 papers and grouped them into two innovative ways. Thus, we obtained 25 criteria clusters and a hierarchical structure with their relationships, indicating that we had only 40% of the cause. We are proposing two innovative criteria grouping methods. The first delivers a fast aggregation clustering, and the second with the relationships between the criteria clusters. This tool can be handy for researchers in exploring new data via literature review or even through surveys. Another point is that the practitioners could easily use the spreadsheet with all the data, remove or join new criteria, and run the algorithm to create new clusters on their own. The main results were, firstly, for the applicants, in software development, the project requirements are gathered over the clients and stakeholders; this process involves rich and looping communication. Secondly, the enterprises first check the criteria clusters. Then, the list of criteria, and taking into account the job position or profile, they choose how to make the hiring process, reflecting on the relationship of criteria clusters (cause/effects). Finally, these results also imply the design of new subjects for computer science courses, mainly concerning soft skills, as highlighted in the Communication criteria cluster, in which we have a list of criteria highly cited in SLR.
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2
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GUSTAVO DOS SANTOS LEAL
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Optimization of SARIMA-DEA models with ensembles and Mixed Design
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Líder : PEDRO PAULO BALESTRASSI
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MIEMBROS DE LA BANCA :
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LUPERCIO FRANÇA BESSEGATO
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CARLOS HENRIQUE PEREIRA MELLO
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JULIANA HELENA DAROZ GAUDENCIO
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PEDRO PAULO BALESTRASSI
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WESLEY VIEIRA DA SILVA
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Data: 27-feb-2023
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Resumen Espectáculo
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Accurate forecasting is crucial for several areas of knowledge, such as Economics, Management, Engineering and Statistics. There are several approaches to perform forecasting: time series analysis, regression analysis, artificial neural networks, etc. However, both researchers or analysts must be aware when applying any of the aforementioned techniques because of overfitting – which occurs when a given model has so many parameters that it fits well to the training set, but predicts the test set very poorly. Recently, model combination techniques are widely spread, since the ensemble of models is proven to make the forecast metrics better. However, the overfitting problem may still occur in these cases. To overcome this, this thesis suggests the application of an intermediate step between the selection of models for the ensemble and the optimization of their weights, which is the application of a Data Envelopment Analysis model suitable for the presence of fractional variables so as not to harm the assumption of convexity. To analyze this method, this thesis applies Box & Jenkins models. Therefore, Decision Making Units (DMU) are created through a Complete Factorial Arrangement, modifying the computational parameters. Super-efficiency analysis is applied and the 4 DMUs with the highest efficiency indexes are retained for later combination through Response Surface (RSM) optimization in the context of Mixture Design. It is also proposed the application of multivariate statistical techniques for dimensionality reduction, in order to make the problem computationally smaller. To validate the proposed method, a simulation study was created, comparing the results with the Naive method. The simulation showed that the method proposed in this thesis presents, on average, better results. Finally, the method was applied to series about electricity demand from Brazil and its five geographic regions.
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3
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CARLOS HENRIQUE DOS SANTOS
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Monitoring of Digital Twin Simulation Models: An approach based on Machine Learning and Control Chart
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Líder : JOSE ARNALDO BARRA MONTEVECHI
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MIEMBROS DE LA BANCA :
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ANDERSON RODRIGO DE QUEIROZ
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ANTONIO FERNANDO BRANCO COSTA
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EDUARDO GOMES SALGADO
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JOSE ANTONIO DE QUEIROZ
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JOSE ARNALDO BARRA MONTEVECHI
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RAFAEL DE CARVALHO MIRANDA
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Data: 27-jun-2023
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Resumen Espectáculo
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The use of simulation models as Digital Twins (DTs) has been standing out in recent years and represents a revolution in decision-making in production processes, being a key solution in the context of the so-called Industry 4.0. In this sense, we highlight increasingly faster and more efficient decisions from the mirroring of the behavior of physical systems through sensors, intelligent equipment, management systems and databases. The models used as DTs are updated periodically, in real or near real time according to physical changes, and provide guidelines or commands for decision making. On the other hand, despite the great applicability of this approach, challenges related to the validity of simulation models over time stand out, since traditional validation approaches do not consider the periodic update of the model. Ensuring the validity of DTs is essential, since it usually involves decisions of great impact for production systems. In addition, although it is a field of research with great importance for both researchers and professionals, we noted that there is still a gap in terms of methods aimed at monitoring the validity of DTs. Therefore, in order to contribute to the literature and fill this gap, the present work proposes an approach based on the periodic evaluation of simulation models used as DTs through Machine Learning and control chart. We suggest a monitoring tool based on the K-Nearest Neighbors (K-NN) classifier, combined with the p control chart, in order to periodically assess the validity of DT models. Initially, the proposed approach was tested in several theoretical cases in order to evaluate the functioning of the tool in situations where the physical environment differs significantly from the virtual one, a fact that would represent a possible case where the DT is not valid. In this case, data corresponding to the physical and digital environments were emulated considering standardized probability distributions. Furthermore, the tool was also implemented in two real objects of study, acting as a supplement to make DTs more robust and reliable. In this case, DTs already implemented and in the operational phase were adopted. The first object of study refers to a model that supports operational planning decisions in a medium-sized company of a clothing industry, whose processes are mostly manual. The second object of study refers to a DT implemented in an automated production cell that operates in near real time, allowing the evaluation of the main process parameters. The tool proved to be capable of monitoring the functioning of both DTs and identifying possible special causes that could compromise its results and, consequently, its validity. Finally, the broad applicability of the tool is highlighted, which can be used in different approaches of DT, including simulation models with different characteristics of connection, integration, and complexity. In this case, the proposed approach operates independently of the characteristics of the DTs, including models that operate in real or near real time, considering automated or manual physical systems and covers systems with different levels of complexity.
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4
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JOAO PAULO BARBIERI
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ELEMENTAL ANALYSIS OF THE COMPLEXITY OF DISCRETE AND HYBRID SIMULATION MODELS
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Líder : ALEXANDRE FERREIRA DE PINHO
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MIEMBROS DE LA BANCA :
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ALEXANDRE FERREIRA DE PINHO
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FABIANO LEAL
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FERNANDO DESCHAMPS
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JOAO JOSE DE ASSIS RANGEL
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JOSE ARNALDO BARRA MONTEVECHI
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RENATO DA SILVA LIMA
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Data: 19-sep-2023
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Resumen Espectáculo
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Under the influence of technological development, real systems are experiencing a significant increase in size and complexity. Faced with a context of technological advances, simulation maintains its scientific relevance, supporting business decision-making. Through simulation, real systems, and their idiosyncrasies, are analyzed and improved. During a simulation project, the specialist needs to make a series of decisions, which includes defining the model's level of detail. Furthermore, in the computational model development phase, the specialist also needs to decide on which simulation approach to use. In the midst of this specialist's decisions, a dilemma emerges: real systems are progressively becoming larger and more complex as a result of technological progress; even with technological advances, the scientific literature states that a computational model is an abstraction of reality and it should be as simple as possible. In the context of this dilemma, the present thesis has the general objective of deepening discussions on the introduction of a greater level of detail in computational models, considering the Discrete Event Simulation (DES) and Hybrid Simulation (HS) approaches, id est, DES approach combined with Agent-Based Simulation (SBA) approach. The need to deepen these discussions generated the iDAV method, a method used to measure computational models. With the application of the iDAV method, it was found that discrete models are simpler to be developed when the level of detail is lower. On the other hand, when the scope and level of detail are increased, hybrid models are more suitable.
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5
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BRUNA STÉFANY COSTA
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Performance analysis of control charts with supplementary signaling rules
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Líder : ANTONIO FERNANDO BRANCO COSTA
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MIEMBROS DE LA BANCA :
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ANTONIO FERNANDO BRANCO COSTA
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CARLOS HENRIQUE PEREIRA MELLO
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PEDRO PAULO BALESTRASSI
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ROBERTO DA COSTA QUININO
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ROGÉRIO SANTANA PERUCHI
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Data: 20-oct-2023
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Resumen Espectáculo
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The most important objectives of industrial and non-industrial companies are related to cost, time and quality. On the one hand, the control charts represents an important quality tool, showing if the process is in control or out of control. On the other hand, the Markov chains can be used with the control charts, modeling the process under analysis. Thus, this research aims to analyze the performance of control charts with supplementary signaling rules through the comparison of the average run length. To do so, the process of literature under investigation was analyzed and modeled through a Markov chain. Following that, the average run length was calculated for distinct scenarios. The control charts under analysis refer to a capability index chart with supplementary signaling rule, a X ̅ chart with supplementary signaling rule and a X ̅ chart with basic signaling rule. The results obtained allowed the conduction of two distinct analysis. The first analysis demonstrated that, when it comes to mean shifts, the calculation complexity resulted from the introduction of the capability index does not always generate the best results. The second analysis demonstrated that, when it comes to mean shifts, the calculation complexity resulted from the introduction of the supplementary signaling rule does in general generate the best results. In some cases the capability index chart with supplementary signaling rule was the chart with the best performance among the three under analysis and in other cases the X ̅ chart with supplementary signaling rule was the chart with the best performance among the three under analysis. Finally, the results reassured that the X ̅ control chart does not display good performance when it comes to small mean shifts.
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6
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ALINE CUNHA ALVIM
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Robust optimization in turning femoral heads for hip arthroplasty: a comparative tool analysis
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Líder : JOAO ROBERTO FERREIRA
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MIEMBROS DE LA BANCA :
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ANTONIO FERNANDO BRANCO COSTA
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JOAO ROBERTO FERREIRA
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JOSE HENRIQUE DE FREITAS GOMES
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LINCOLN CARDOSO BRANDÃO
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MARCOS VALERIO RIBEIRO
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MATHEUS BRENDON FRANCISCO
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Data: 30-oct-2023
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Resumen Espectáculo
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The large elderly population has naturally led to an increase in the number of orthopedic surgeries, such as knee and hip replacements. In developing countries, the growing demand for this type of surgery is already a reality, highlighting the need to develop machining manufacturing technologies that meet the quality requirements of the prosthesis. ABNT 316L austenitic stainless steel is used in the manufacture of joint prostheses and, although it is considered a material with low machinability, it is an economical alternative to the application of other biomaterials such as titanium alloys and ceramics. In this context, this work presents the optimization of the turning of femoral heads for a total hip prosthesis, comparing two different tool geometries: round and rhombic ISO format. To this end, it has used the response surface methodology and the design of robust parameters to model and optimize the main process responses: roughness and sphericity. The experiments were carried out based on a combined array considering three control variables and two noise variables. The control variables studied were: cutting speed, feed rate and depth of cut; and the noise variables considered were: fixed length of the workpiece and cutting fluid flow. As quality characteristics, the surface finish and the sphericity of the femoral heads were analyzed using the mean roughness and total circularity deviation, respectively. Robust optimization was performed by combining two methods: mean square error and normal boundary intersection. Therefore, the formulation of the optimization problem was to minimize the roughness in the turning process of ABNT 316L stainless steel, limiting the sphericity to 10 μm. The results showed that the rhombic tool is preferable when it is desired to simultaneously obtain components with the best surface quality and the least shape deviation.
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7
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MILENA SILVA DE OLIVEIRA
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Discrete event simulation in industrial processes: a approach involving facilitated modeling and hybrid meetings
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Líder : FABIANO LEAL
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MIEMBROS DE LA BANCA :
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MARCO AURÉLIO DE MESQUITA
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ALEXANDRE FERREIRA DE PINHO
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FABIANO LEAL
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JOSE ARNALDO BARRA MONTEVECHI
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MARCELO MACHADO FERNANDES
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RAFAEL DE CARVALHO MIRANDA
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Data: 31-oct-2023
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Resumen Espectáculo
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Discrete Event Simulation (DES) stands as one of the primary and most significant simulation techniques to assist decision-making in various areas of Industrial Engineering. Industrial enterprises of various sizes can significantly benefit from DES as it can assist in comprehending and analyzing systems, decision-making, improving operations and designing changes in the real system with less costly errors. However, despite a broad and growing literature on DES applications, it has been observed that industrial companies may encounter certain constraints in utilizing this technique in its traditional mode. These constraints include financial limitations that hinder the adoption of mechanisms for collecting extensive data, as well as the hiring of qualified personnel to process and explore their data. Additionally, data deficiencies, where limited or even unavailable data are collected, can lead to an inability to engage in simulation model development and scenario creation. There is also hesitancy in using DES due to the substantial time required for design and complexity in its use. Therefore, the objective of this thesis is to create a framework using facilitated modeling in conjunction with DES. In other words, proposing a simpler project management method. Facilitated DES offers advantages that address these aforementioned issues, as it allows for working with data estimated by experts in the process. It also advocates for the use of a simple computational model with few details, yet useful in generating understanding and fostering discussions about the problem situation, aiding in the pursuit of improvements. The FaMoSim (Facilitated Modeling Simulation) framework was developed following the steps of the Action Research method, and its implementation took the form of remote applications through hybrid meetings. With this meeting format, it is understood that the use of facilitated DES can be expanded beyond inperson meetings. Thus, FaMoSim brings unique features to the conduct of facilitated DES studies in industrial enterprises. By applying FaMoSim to four different case studies, its effectiveness in providing stakeholders with a better understanding of the studied processes using a simplified computational model with fewer data and fewer details was evident. It also assisted stakeholders in decision-making and identifying improvements.
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8
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JÉSSICA TITO VIEIRA
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Multi-Objective Evolutionary Optimization of Internal Turning of PEEK Tubes through Extreme Gradient Boosting Models
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Líder : JOAO ROBERTO FERREIRA
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MIEMBROS DE LA BANCA :
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ALESSANDRO ROGER RODRIGUES
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JOAO ROBERTO FERREIRA
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JOSE HENRIQUE DE FREITAS GOMES
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MATHEUS BRENDON FRANCISCO
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MESSIAS BORGES SILVA
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ROBSON BRUNO DUTRA PEREIRA
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Data: 13-dic-2023
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Resumen Espectáculo
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Turning is one of the most widely used manufacturing processes in the industry. Its extensive application means that turning processes are increasingly focused on producing of high-quality parts, aiming to associate efficiency, precision, and productivity. The challenges of achieving high-precision surface finishes are even greater when internal turning is applied to modern materials such as polyetheretherketone (PEEK). To achieve the best process conditions, predictive models must be estimated, and optimization must be conducted. This work presents a statistical learning approach for modeling and optimizing the internal turning process in PEEK tubes. Average roughness and roundness of the hole were measured to quantify the hole quality. The cutting force, considered an important indicator of machinability, was also measured. Cutting speed, feed rate, and fixture position were considered as input parameters. For modeling, a learning procedure was proposed, considering polynomial response surface regression, generalized additive methods, treebased methods, support vector regression and extreme gradient boosting. Cross-validation was used for learning and model selection, including k-fold and bootstrap approaches. The results indicated that the extreme gradient boosting model was the best for all predictors. For Ra the final prediction metrics results were RMSE = 0.1395, MAE = 0.1126, and R2 = 1.0000, for Fc, RMSE = 1.8609, MAE = 0.9311, and R2 = 0.9280, and for Ront, RMSE = 21.3084, MAE = 17.8053, and R2 = 0.6562. Multi-objective evolutionary optimization was performed, considering the extreme gradient boosting models for average roughness, roundness, and cutting force, in addition to the deterministic model of material removal rate. The NSGA-II method was selected considering the hypervolume for the three-objective optimizations. The pseudo-weight approach is used to select high trade-off solutions, facilitating selection in practical production scenarios. For optimization of Ra vs Ront vs MRR, the balance between the three responses was achieved with a higher vc, f = 0.12 mm/v, and fp = 15.14 mm. For optimization of Fc vs Ront vs MRR, the balance between the three responses was achieved with vc = 378.78 m/min, f = 0.10 mm/v, and fp = 13.00 mm. The proposed learning and optimization approach enabled the achievement of the best results for the internal turning process in PEEK and can be applied to other intelligent manufacturing applications.
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9
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PEDRO ALBERTO CHAIB DE SOUSA BERNARDES
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Approach for the optimal configuration of investments in biogas-solar PV microgeneration projects based on multi-objective optimization
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Líder : EDSON DE OLIVEIRA PAMPLONA
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MIEMBROS DE LA BANCA :
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ANDERSON RODRIGO DE QUEIROZ
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ANDRE LUIZ MEDEIROS
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BENEDITO DONIZETI BONATTO
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EDSON DE OLIVEIRA PAMPLONA
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GIANCARLO AQUILA
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MARCELO NUNES FONSECA
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Data: 14-dic-2023
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Resumen Espectáculo
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Brazil is one of the countries that seek to encourage distributed generation (DG) based on a net-metering scheme, combined with the exemption from the trading tax (ICMS), which is offered by different Brazilian states at different levels, and the lines financing from the national development bank. However, incentivized renewable energy sources (RES) have advantages in certain attributes, which many other RES do not have. In this sense, the combination of two or more sources in a hybrid way is able to minimize the disadvantages of renewable sources, including investment, operation and maintenance costs, intermittency and occupied area of the land where the generation system is installed. Therefore, the objective of this work is to contribute to the configuration of hybrid biogas-solar photovoltaic (PV) systems for pig farms, using multiobjective optimization. For this, a design of experiment technique will be adopted to define the objective functions, the construction of the Pareto frontier using the Normal Boundary Intersection (NBI) method and the Pareto-optimal solution will be located by the ratio between Entropy and Mahalanobis distance. The data obtained through the experimental design will also be used in the construction of confidence ellipses and in the Multivariate Analysis of Variance (MANOVA) technique, to compare the results obtained in three cities in three different brazilian states. The input variables used will be operational data from biogas and solar photovoltaic (PV) generation and the response variables used are the mean and standard deviation of the Net Present Value (NPV). The main results obtained were the optimal configuration of the biogas-PV hybrid system and the comparison of the investment made in the three selected cities. The contributions generated are intended to assist the decisions of renewable energy market regulators and investors.
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