Pub Date : 2023-01-01DOI: 10.1590/0101-7438.2023.043spe1.00258518
Jenny Milena Moreno Rodríguez, E. A. Frej, Takanni Hannaka Abreu Kang, Adiel Teixeira de Almeida
. Since most of the studies about outsourcing are focused on mathematical models, this paper seeks to support from theoretical bases the use of partial information to ease the decision-making process; the practical contribution is to apply the FITradeoff method for solving a multicriteria problem of an agricultural research company that seeks to decide about the need to outsource the operation in case to overhead the limited capacity of the analysis services. After the FITradeoff method was applied to elicit preferences from each decision-maker (DM), the results show whether or not it would be feasible to outsource a given service, and what the most promising options are. The method required the DMs to answer in less time only a few questions, which avoided placing an unnecessary cognitive burden on them and proved to be useful in assisting DMs in the decision-making.
{"title":"OUTSOURCING LABORATORY SERVICES FROM A COLOMBIAN AGRICULTURAL RESEARCH COMPANY USING THE FITRADEOFF METHOD UNDER MULTIPLE STAKEHOLDERS ANALYSIS","authors":"Jenny Milena Moreno Rodríguez, E. A. Frej, Takanni Hannaka Abreu Kang, Adiel Teixeira de Almeida","doi":"10.1590/0101-7438.2023.043spe1.00258518","DOIUrl":"https://doi.org/10.1590/0101-7438.2023.043spe1.00258518","url":null,"abstract":". Since most of the studies about outsourcing are focused on mathematical models, this paper seeks to support from theoretical bases the use of partial information to ease the decision-making process; the practical contribution is to apply the FITradeoff method for solving a multicriteria problem of an agricultural research company that seeks to decide about the need to outsource the operation in case to overhead the limited capacity of the analysis services. After the FITradeoff method was applied to elicit preferences from each decision-maker (DM), the results show whether or not it would be feasible to outsource a given service, and what the most promising options are. The method required the DMs to answer in less time only a few questions, which avoided placing an unnecessary cognitive burden on them and proved to be useful in assisting DMs in the decision-making.","PeriodicalId":35341,"journal":{"name":"Pesquisa Operacional","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67470441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1590/0101-7438.2023.043.00268084
L. O. G. R. Souza, M. Santos, C. F. S. Gomes, O. L. G. Quelhas, N. A. Barud
There are liabilities for society because of the increase in the amount of waste. This work will choose a biodigester to treat organic waste at Universidade Federal Fluminense. For this, the VFT approach was used to structure the problem and the multicriteria decision support method THOR 2 was used to choose the option that has the most excellent preference considering three scenarios. The experts say that six criteria can be used to choose a biodigester, namely Capacity, Input of organic matter, Input of water, Average expected production of biogas and average output of biofertilizer. The research showed that biodigester 7 had the best performance as a result. The relevance of the study refers to the contribution to the reduction of organic solid waste in the environment. This research applies THOR 2 method in a new context.
{"title":"THE COMBINED USE OF VALUE-FOCUSED THINKING AND THOR 2 TO CHOOSE A BIODIGESTER IN A BRAZILIAN PUBLIC UNIVERSITY","authors":"L. O. G. R. Souza, M. Santos, C. F. S. Gomes, O. L. G. Quelhas, N. A. Barud","doi":"10.1590/0101-7438.2023.043.00268084","DOIUrl":"https://doi.org/10.1590/0101-7438.2023.043.00268084","url":null,"abstract":"There are liabilities for society because of the increase in the amount of waste. This work will choose a biodigester to treat organic waste at Universidade Federal Fluminense. For this, the VFT approach was used to structure the problem and the multicriteria decision support method THOR 2 was used to choose the option that has the most excellent preference considering three scenarios. The experts say that six criteria can be used to choose a biodigester, namely Capacity, Input of organic matter, Input of water, Average expected production of biogas and average output of biofertilizer. The research showed that biodigester 7 had the best performance as a result. The relevance of the study refers to the contribution to the reduction of organic solid waste in the environment. This research applies THOR 2 method in a new context.","PeriodicalId":35341,"journal":{"name":"Pesquisa Operacional","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136203650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1590/0101-7438.2023.043.00270829
José Carlos Fontoura Guimarães, Claudio Barbieri da Cunha
In this paper, we propose a math-heuristic that combines mathematical programming techniques with a heuristic approach based on the Simulated Annealing metaheuristic to solve the Two-Echelon Capacitated Vehicle Routing Problem (2E-CVRP). This problem arises in the context of a distribution network that is divided in two levels: satellite facilities that connect customers to fulfilment centers where freight originates. As it is an NP-hard problem, the proposed approach combines a cluster-first route-second math-heuristic in which approaches are more appropriate, particularly for problem sizes that are more commonly found in practice. The results of the experiments with benchmark instances show that such cluster-first route-second math-heuristic approach utilizing package solvers (CPLEX and TSP CONCORDE) can effectively help solving the CVRP for small instances when compared to an exact method. The experiments conducted on benchmark instances demonstrated the effectiveness of the proposed “cluster-first, route-second” math-heuristic approach, which utilizes package solvers such as CPLEX and TSP CONCORDE, in solving the CVRP for small instances, outperforming exact methods. This research contributes to demonstrating the potential applications of package solvers on heuristic structures for solving the CVRP. Although the presented math-heuristic has limitations, mainly due to the extensive usage of mathematical programming and the chosen characteristics of the implemented local search operators, it can quickly generate high-quality initial solutions for medium and large instances. By showcasing the “cluster-first, route-second” approach, this paper provides a framework that can be further improved by local search or embedded in other metaheuristics, such as GRASP or tabu search, and has practical implications for various industries.
{"title":"MATH-HEURISTIC FOR THE CAPACITATED TWO-ECHELON VEHICLE ROUTING PROBLEM","authors":"José Carlos Fontoura Guimarães, Claudio Barbieri da Cunha","doi":"10.1590/0101-7438.2023.043.00270829","DOIUrl":"https://doi.org/10.1590/0101-7438.2023.043.00270829","url":null,"abstract":"In this paper, we propose a math-heuristic that combines mathematical programming techniques with a heuristic approach based on the Simulated Annealing metaheuristic to solve the Two-Echelon Capacitated Vehicle Routing Problem (2E-CVRP). This problem arises in the context of a distribution network that is divided in two levels: satellite facilities that connect customers to fulfilment centers where freight originates. As it is an NP-hard problem, the proposed approach combines a cluster-first route-second math-heuristic in which approaches are more appropriate, particularly for problem sizes that are more commonly found in practice. The results of the experiments with benchmark instances show that such cluster-first route-second math-heuristic approach utilizing package solvers (CPLEX and TSP CONCORDE) can effectively help solving the CVRP for small instances when compared to an exact method. The experiments conducted on benchmark instances demonstrated the effectiveness of the proposed “cluster-first, route-second” math-heuristic approach, which utilizes package solvers such as CPLEX and TSP CONCORDE, in solving the CVRP for small instances, outperforming exact methods. This research contributes to demonstrating the potential applications of package solvers on heuristic structures for solving the CVRP. Although the presented math-heuristic has limitations, mainly due to the extensive usage of mathematical programming and the chosen characteristics of the implemented local search operators, it can quickly generate high-quality initial solutions for medium and large instances. By showcasing the “cluster-first, route-second” approach, this paper provides a framework that can be further improved by local search or embedded in other metaheuristics, such as GRASP or tabu search, and has practical implications for various industries.","PeriodicalId":35341,"journal":{"name":"Pesquisa Operacional","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136203663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1590/0101-7438.2023.043.00270186
Luiz Junior Maemura Yoshiura, Carolina Lino Martins, Ana Paula Cabral Seixas Costa, João Batista Sarmento dos Santos-Neto
This article aims to present a Multicriteria Decision Aiding (MCDA) model for assessing risk management maturity. Therefore, it is proposed to use a Maturity Model (MM) for risk management aligned with the ELECTRE TRI method. The ELECTRE TRI was chosen as the sorting method because it has a strong axiomatic structure based on the relationship of concordance and discordance between the alternative and the profile that delimits each of its classes. To test the proposal, a case study was carried out on a real company in the construction industry. For the development of the risk management maturity assessment model, a questionnaire was applied to collect data related to risk management practices in the organization. After collection, the data were used for modeling in a Decision Support System to apply the ELECTRE TRI, which managed to classify and identify the organization’s risk management maturity at level 3 (managed).
{"title":"A MULTICRITERIA DECISION MODEL FOR RISK MANAGEMENT MATURITY EVALUATION","authors":"Luiz Junior Maemura Yoshiura, Carolina Lino Martins, Ana Paula Cabral Seixas Costa, João Batista Sarmento dos Santos-Neto","doi":"10.1590/0101-7438.2023.043.00270186","DOIUrl":"https://doi.org/10.1590/0101-7438.2023.043.00270186","url":null,"abstract":"This article aims to present a Multicriteria Decision Aiding (MCDA) model for assessing risk management maturity. Therefore, it is proposed to use a Maturity Model (MM) for risk management aligned with the ELECTRE TRI method. The ELECTRE TRI was chosen as the sorting method because it has a strong axiomatic structure based on the relationship of concordance and discordance between the alternative and the profile that delimits each of its classes. To test the proposal, a case study was carried out on a real company in the construction industry. For the development of the risk management maturity assessment model, a questionnaire was applied to collect data related to risk management practices in the organization. After collection, the data were used for modeling in a Decision Support System to apply the ELECTRE TRI, which managed to classify and identify the organization’s risk management maturity at level 3 (managed).","PeriodicalId":35341,"journal":{"name":"Pesquisa Operacional","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136202061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1590/0101-7438.2023.043spe1.00263454
Marek Czekajski, T. Wachowicz, E. A. Frej
{"title":"EXPLORING THE COMBINATION OF HOLISTIC EVALUATION AND ELICITATION BY DECOMPOSITION IN FITRADEOFF: PRIORITIZING CULTURAL TOURISM PRODUCTS IN POLAND","authors":"Marek Czekajski, T. Wachowicz, E. A. Frej","doi":"10.1590/0101-7438.2023.043spe1.00263454","DOIUrl":"https://doi.org/10.1590/0101-7438.2023.043spe1.00263454","url":null,"abstract":"","PeriodicalId":35341,"journal":{"name":"Pesquisa Operacional","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67470220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1590/0101-7438.2023.043spe1.00268356
Adiel Teixeira de Almeida, E. A. Frej, Lucia Reis Peixoto Roselli, A. P. C. S. Costa
. This paper presents a broad overview of main contributions related to the FITradeoff (Flex-ible and Interactive Tradeoff) method. FITradeoff is a multicriteria method developed within the scope of the Multiattribute Value Theory (MAVT), considering partial information from the decision maker (DM) in the preference modelling process. Over the last few years, several methodological developments on this method have been published in the literature, as well as practical applications to a wide range of multi-criteria decision problems. The most recent methodological advances are related to preference modelling process, which now integrate the two paradigms of elicitation by decomposition and holistic evaluation. Furthermore, contributions from behavioral studies, some of them including decision neuroscience, have enhanced the DSS free available for FITradeoff. In this paper, all previously developed works related to the FITradeoff method are approached, considering both methodological developments and practical applications. A summary on the different modeling approaches for solving different decision problematics (choice, ranking, sorting and portfolio) with FITradeoff is presented. The recently proposed combination of preference modeling paradigms - elicitation by decomposition and holistic evaluation - within the FITradeoff decision process is explained, as well its potential advantages for the elicitation process. Moreover, a brief review on the practical applications of the method in different contexts is presented. In addition, this work also brings a summary on the results of behavioral experiments conducted using neuroscience tools with the FITradeoff method, as well the methodological insights resulted from them, and future perspectives of potential research topics related to the FITradeoff method
{"title":"A SUMMARY ON FITRADEOFF METHOD WITH METHODOLOGICAL AND PRACTICAL DEVELOPMENTS AND FUTURE PERSPECTIVES","authors":"Adiel Teixeira de Almeida, E. A. Frej, Lucia Reis Peixoto Roselli, A. P. C. S. Costa","doi":"10.1590/0101-7438.2023.043spe1.00268356","DOIUrl":"https://doi.org/10.1590/0101-7438.2023.043spe1.00268356","url":null,"abstract":". This paper presents a broad overview of main contributions related to the FITradeoff (Flex-ible and Interactive Tradeoff) method. FITradeoff is a multicriteria method developed within the scope of the Multiattribute Value Theory (MAVT), considering partial information from the decision maker (DM) in the preference modelling process. Over the last few years, several methodological developments on this method have been published in the literature, as well as practical applications to a wide range of multi-criteria decision problems. The most recent methodological advances are related to preference modelling process, which now integrate the two paradigms of elicitation by decomposition and holistic evaluation. Furthermore, contributions from behavioral studies, some of them including decision neuroscience, have enhanced the DSS free available for FITradeoff. In this paper, all previously developed works related to the FITradeoff method are approached, considering both methodological developments and practical applications. A summary on the different modeling approaches for solving different decision problematics (choice, ranking, sorting and portfolio) with FITradeoff is presented. The recently proposed combination of preference modeling paradigms - elicitation by decomposition and holistic evaluation - within the FITradeoff decision process is explained, as well its potential advantages for the elicitation process. Moreover, a brief review on the practical applications of the method in different contexts is presented. In addition, this work also brings a summary on the results of behavioral experiments conducted using neuroscience tools with the FITradeoff method, as well the methodological insights resulted from them, and future perspectives of potential research topics related to the FITradeoff method","PeriodicalId":35341,"journal":{"name":"Pesquisa Operacional","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67470685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1590/0101-7438.2023.043.00270974
Guilherme Dhein, Marcelo Serrano Zanetti, Olinto César Bassi de Araújo
In the Minimum Dispersion Routing Problem, a set of vertices must be served by tours with trajectories defined in order to reduce the dispersion of vehicles. Tours must be related to each other and impose a spatial and temporal synchronization among vehicles, quantified by an original dispersion metric used in an objective function to be minimized. In this paper, we demonstrate that Euclidean Traveling Salesman Problem solutions can be found by MDRP solvers. We describe a method to reduce Euclidean Traveling Salesman Problem instances to Minimum Dispersion Routing Problem instances in polynomial time, proving that the last one is NP-Hard.
{"title":"ON THE NP-HARDNESS OF THE MINIMUM DISPERSION ROUTING PROBLEM","authors":"Guilherme Dhein, Marcelo Serrano Zanetti, Olinto César Bassi de Araújo","doi":"10.1590/0101-7438.2023.043.00270974","DOIUrl":"https://doi.org/10.1590/0101-7438.2023.043.00270974","url":null,"abstract":"In the Minimum Dispersion Routing Problem, a set of vertices must be served by tours with trajectories defined in order to reduce the dispersion of vehicles. Tours must be related to each other and impose a spatial and temporal synchronization among vehicles, quantified by an original dispersion metric used in an objective function to be minimized. In this paper, we demonstrate that Euclidean Traveling Salesman Problem solutions can be found by MDRP solvers. We describe a method to reduce Euclidean Traveling Salesman Problem instances to Minimum Dispersion Routing Problem instances in polynomial time, proving that the last one is NP-Hard.","PeriodicalId":35341,"journal":{"name":"Pesquisa Operacional","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136203007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1590/0101-7438.2023.043.00270378
Gabriel Adam Bilato, Cleber Damião Rocco, Anibal Tavares de Azevedo
Vehicle Routing Problems (VRP) have been widely researched throughout history as a way of optimising routes by minimising distances and planning deliveries efficiently, but the issue of risk in VRP has received less attention over time. This is essential to increasing transport safety to avoid interruptions in supply chains and improve delivery reliability. Therefore, this study aims to support decision makers to plan routes for road freight transportation considering not only the logistics cost, but also travel safety due to road hazards. An analytical approach based on statistics was developed in which data of vehicle accidents and road features were used to estimate the risk cost by using the Monte Carlo simulation. A bi-objective approach based on PROMETHEE II and ε-constrained methods was used in the Capacitated Vehicle Routing Problem (CVRP) to analyse the conflict between the logistic cost and accident risk. Key contributions of this study are an analytical approach based on statistics, Monte Carlo simulation and multicriteria methods in a CVRP model to explore the trade-off between logistic costs and accident risk expressed by a risk cost. The outcomes of this study show to be useful in practice to analyse transportation decisions in the VRP model involving route planning considering accident risk.
{"title":"BI-OBJECTIVE APPROACHES TO DEAL WITH ACCIDENT RISK AND LOGISTIC COSTS IN VEHICLE ROUTING PROBLEMS","authors":"Gabriel Adam Bilato, Cleber Damião Rocco, Anibal Tavares de Azevedo","doi":"10.1590/0101-7438.2023.043.00270378","DOIUrl":"https://doi.org/10.1590/0101-7438.2023.043.00270378","url":null,"abstract":"Vehicle Routing Problems (VRP) have been widely researched throughout history as a way of optimising routes by minimising distances and planning deliveries efficiently, but the issue of risk in VRP has received less attention over time. This is essential to increasing transport safety to avoid interruptions in supply chains and improve delivery reliability. Therefore, this study aims to support decision makers to plan routes for road freight transportation considering not only the logistics cost, but also travel safety due to road hazards. An analytical approach based on statistics was developed in which data of vehicle accidents and road features were used to estimate the risk cost by using the Monte Carlo simulation. A bi-objective approach based on PROMETHEE II and ε-constrained methods was used in the Capacitated Vehicle Routing Problem (CVRP) to analyse the conflict between the logistic cost and accident risk. Key contributions of this study are an analytical approach based on statistics, Monte Carlo simulation and multicriteria methods in a CVRP model to explore the trade-off between logistic costs and accident risk expressed by a risk cost. The outcomes of this study show to be useful in practice to analyse transportation decisions in the VRP model involving route planning considering accident risk.","PeriodicalId":35341,"journal":{"name":"Pesquisa Operacional","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135658876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1590/0101-7438.2023.043.00262058
Helder Gomes Costa, Raphael Corrêa Silva, Leonardo Antonio Monteiro Pessôa
Selecting the naval components to be part of a task force is a typical setting decision problem wherein each component of the task force should complement the others. This decision situation calls for the use of outranking modeling tools instead of the additive ones, which are usually used when selecting group components. This study applies Electre I to develop an original approach to this hypothetical problem: the composition of the Amphibian Readiness Group, used in the United States. Despite being a hypothetical decision situation, the work uses real data from American media. We use Electre I because it is a native outranking multicriteria decision method, designed to address choice decisions. Moreover, we take the support of The Visual Outdeck web app (Outranking Decision and Knowledge app) to implement the model and the Electre I multicriteria algorithm and a sensitivity analysis of the results regarding the weights and the agreement and disagreement cut-off levels. Further we apply the same input data to an additive decision algorithm, allowing comparison of the results. Consequently, we established the setting of the task force by utilizing elements that optimally complement the others in the task force configuration. Furthermore, the study finds that this task force differs from the one that should be constituted using traditional additive modeling. The main contribution of this study is that it provides a robust discussion and original modeling that supports military decision-makers while selecting a better set of military taskforces.
选择海军组成部分作为特遣部队的一部分是一个典型的设置决策问题，其中特遣部队的每个组成部分都应相互补充。这种决策情况要求使用超排序建模工具，而不是通常在选择组组件时使用的附加建模工具。本研究应用电学ⅰ开发了一种原始的方法来解决这个假设的问题:两栖动物准备小组的组成，在美国使用。尽管这是一个假设的决策情况，但这项工作使用了来自美国媒体的真实数据。我们使用Electre I是因为它是一种原生的超越多标准决策方法，旨在解决选择决策问题。此外，我们利用the Visual Outdeck web app (Outranking Decision and Knowledge app)的支持来实现模型和Electre I多准则算法，并对结果的权重和一致和不一致的截止水平进行敏感性分析。此外，我们将相同的输入数据应用于加性决策算法，允许对结果进行比较。因此，我们通过利用任务组配置中最佳地补充其他元素的元素来建立任务组的设置。此外，研究发现，该工作组不同于传统的加性建模应组成的工作组。本研究的主要贡献在于，它提供了一个强有力的讨论和原始模型，支持军事决策者在选择一组更好的军事特遣队时。
{"title":"AN OUTRANKING ELECTRE-BASED MODELING FOR SETTING THE NAVAL CORE COMPONENTS OF AN AMPHIBIOUS TASK FORCE","authors":"Helder Gomes Costa, Raphael Corrêa Silva, Leonardo Antonio Monteiro Pessôa","doi":"10.1590/0101-7438.2023.043.00262058","DOIUrl":"https://doi.org/10.1590/0101-7438.2023.043.00262058","url":null,"abstract":"Selecting the naval components to be part of a task force is a typical setting decision problem wherein each component of the task force should complement the others. This decision situation calls for the use of outranking modeling tools instead of the additive ones, which are usually used when selecting group components. This study applies Electre I to develop an original approach to this hypothetical problem: the composition of the Amphibian Readiness Group, used in the United States. Despite being a hypothetical decision situation, the work uses real data from American media. We use Electre I because it is a native outranking multicriteria decision method, designed to address choice decisions. Moreover, we take the support of The Visual Outdeck web app (Outranking Decision and Knowledge app) to implement the model and the Electre I multicriteria algorithm and a sensitivity analysis of the results regarding the weights and the agreement and disagreement cut-off levels. Further we apply the same input data to an additive decision algorithm, allowing comparison of the results. Consequently, we established the setting of the task force by utilizing elements that optimally complement the others in the task force configuration. Furthermore, the study finds that this task force differs from the one that should be constituted using traditional additive modeling. The main contribution of this study is that it provides a robust discussion and original modeling that supports military decision-makers while selecting a better set of military taskforces.","PeriodicalId":35341,"journal":{"name":"Pesquisa Operacional","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136201966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1590/0101-7438.2023.043.00269646
Marcello Dantas Gomes Júnior, Pauli Adriano de Almada Garcia
One of industrial companies’ challenges, especially for intensive-use plants and other assets, is the proper sizing of the stock of strategic spare parts, items that have a history of low consumption, but whose lack can cause delays in repair and maintenance services, at the extreme leading to operational shutdowns. Effects can be from small to large scales. While on one hand, having a large stock of strategic items can provide a greater guarantee of operational availability, on the other hand, it brings additional storage and preservation costs, in addition to fixed capital outlays. A compromise solution is needed. The use of traditional or simpler techniques to infer the ideal level of stock for each spare often suffers from lack of historical data, especially in installations in the initial phase of the operation and maintenance cycle. Another problem is the diversity of applications for some materials. The present work proposes a method based on reliability and Bayesian hierarchical models (HBMs) to overcome the problems of data scarcity, uncertainties and variability between applications of each spare part. The criticality of the equipment or assets in which the spare parts are applied is taken into account in the method. The hierarchical Bayesian model enables updating information as new consumption of strategic items is registered. The method is tested for a stationary offshore oil and gas unit.
{"title":"SPARE PARTS CONSUMPTION FORECASTING USING A HIERARCHICAL BAYESIAN MODEL","authors":"Marcello Dantas Gomes Júnior, Pauli Adriano de Almada Garcia","doi":"10.1590/0101-7438.2023.043.00269646","DOIUrl":"https://doi.org/10.1590/0101-7438.2023.043.00269646","url":null,"abstract":"One of industrial companies’ challenges, especially for intensive-use plants and other assets, is the proper sizing of the stock of strategic spare parts, items that have a history of low consumption, but whose lack can cause delays in repair and maintenance services, at the extreme leading to operational shutdowns. Effects can be from small to large scales. While on one hand, having a large stock of strategic items can provide a greater guarantee of operational availability, on the other hand, it brings additional storage and preservation costs, in addition to fixed capital outlays. A compromise solution is needed. The use of traditional or simpler techniques to infer the ideal level of stock for each spare often suffers from lack of historical data, especially in installations in the initial phase of the operation and maintenance cycle. Another problem is the diversity of applications for some materials. The present work proposes a method based on reliability and Bayesian hierarchical models (HBMs) to overcome the problems of data scarcity, uncertainties and variability between applications of each spare part. The criticality of the equipment or assets in which the spare parts are applied is taken into account in the method. The hierarchical Bayesian model enables updating information as new consumption of strategic items is registered. The method is tested for a stationary offshore oil and gas unit.","PeriodicalId":35341,"journal":{"name":"Pesquisa Operacional","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136202207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：