cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14279901.v1
title: IMPROVING COMMITMENT TO AGREEMENTS: THE ROLE OF GROUP DECISION-MAKING METHODS IN THE PERCEPTION OF SENSE OF JUSTICE AND SATISFACTION AS COMMITMENT PREDICTORS

description: ABSTRACT The objective of this study was to evaluate the chances of commitment in group decision making process, modeled by a multicriteria method based on game theory and its evaluation in relation to the satisfaction and sense of justice of the players. We hypothesized that mathematical methods may favor group decision-making, reflecting higher levels of sense of justice and satisfaction and consequently greater chances of commitment to the agreements made. By means of 75 simulations, with five volunteers each, the hypotheses of this study were confirmed, which include the affirmation that the commitment in group decision making can be increased by the use of a method to support group decision making and, consequently, that the sense of justice and satisfaction will be greater when agreements are supported by some sort of mathematical method.
DOI: 10.6084/m9.figshare.14279903
title: IMPROVING THE SHIFT-SCHEDULING PROBLEM USING NON-STATIONARY QUEUEING MODELS WITH LOCAL HEURISTIC AND GENETIC ALGORITHM

description: ABSTRACT We improve the shift-scheduling process by using nonstationary queueing models to evaluate schedules and two heuristics to generate schedules. Firstly, we improved the fitness function and the initial population generation method for a benchmark genetic algorithm in the literature. We also proposed a simple local search heuristic. The improved genetic algorithm found solutions that obey the delay probability constraint more often. The proposed local search heuristic also finds feasible solutions with a much lower computational expense, especially under low arrival rates. Differently from a genetic algorithm, the local search heuristic does not rely on random choices. Furthermore, it finds one final solution from one initial solution, rather than from a population of solutions. The developed local search heuristic works with only one well-defined goal, making it simple and straightforward to implement. Nevertheless, the code for the heuristic is simple enough to accept changes and cope with multiple objectives.
DOI: 10.6084/m9.figshare.14279903.v1
title: IMPROVING THE SHIFT-SCHEDULING PROBLEM USING NON-STATIONARY QUEUEING MODELS WITH LOCAL HEURISTIC AND GENETIC ALGORITHM

description: ABSTRACT We improve the shift-scheduling process by using nonstationary queueing models to evaluate schedules and two heuristics to generate schedules. Firstly, we improved the fitness function and the initial population generation method for a benchmark genetic algorithm in the literature. We also proposed a simple local search heuristic. The improved genetic algorithm found solutions that obey the delay probability constraint more often. The proposed local search heuristic also finds feasible solutions with a much lower computational expense, especially under low arrival rates. Differently from a genetic algorithm, the local search heuristic does not rely on random choices. Furthermore, it finds one final solution from one initial solution, rather than from a population of solutions. The developed local search heuristic works with only one well-defined goal, making it simple and straightforward to implement. Nevertheless, the code for the heuristic is simple enough to accept changes and cope with multiple objectives.
DOI: 10.6084/m9.figshare.14279904
title: EVALUATING THE IMPORTANCE OF BRAZILIAN PORTS USING GRAPH CENTRALITY MEASURES

description: ABSTRACT This study analyses the importance of Brazilian ports, based on the flow of non-containerized cargo in 2014, considering both national and foreign trades. For that, we study a non-traditional centrality, called layer centrality, which evaluates the importance of ports, based on how well they are connected to influential ports. This measurement was preliminarily proposed in 2011 and applied to a simple nonweighted network, though herein we extend it to weighted graphs. For comparison purposes, we also apply three traditional measures, namely degree, eigenvector, and flow betweenness centralities. Our findings show that the most impactful ports are private terminals Ponta da Madeira and Tubarão, although public ports, particularly Santos, are usually impactful for national trades. Moreover, we analysed the map for public ports and suggest a suitable location for a new public port.
DOI: 10.6084/m9.figshare.14279904.v1
title: EVALUATING THE IMPORTANCE OF BRAZILIAN PORTS USING GRAPH CENTRALITY MEASURES

description: ABSTRACT This study analyses the importance of Brazilian ports, based on the flow of non-containerized cargo in 2014, considering both national and foreign trades. For that, we study a non-traditional centrality, called layer centrality, which evaluates the importance of ports, based on how well they are connected to influential ports. This measurement was preliminarily proposed in 2011 and applied to a simple nonweighted network, though herein we extend it to weighted graphs. For comparison purposes, we also apply three traditional measures, namely degree, eigenvector, and flow betweenness centralities. Our findings show that the most impactful ports are private terminals Ponta da Madeira and Tubarão, although public ports, particularly Santos, are usually impactful for national trades. Moreover, we analysed the map for public ports and suggest a suitable location for a new public port.
DOI: 10.6084/m9.figshare.14279907
title: CONSENSUS BUILDING IN A GROUP DECISION-MAKING PROCESS

description: ABSTRACT Expert agreement is a key issue for consensus building process; appropriate methods and tools are needed to support an efficient group decision-making process. This study presents a combination of Analytic Hierarchy Process (AHP) with the Delphi method as a useful support for group decision-making processes aimed at consensus building. A new methodology that includes stability and exclusion analysis; as well as new coefficients of concordance and consistency with a statistical approach are proposed through a case study to explore the consensus building in the group decision-making process.
DOI: 10.6084/m9.figshare.14279905
title: COMPOSITIONAL STATISTICAL MODELS UNDER A BAYESIAN APPROACH: AN APPLICATION TO TRAFFIC ACCIDENT DATA IN FEDERAL HIGHWAYS IN BRAZIL

description: ABSTRACT This study considers the use of a composicional statistical model under a Bayesian approach using Markov Chain Monte Carlo simulation methods applied for road traffic victims ocurring in federal roads of Brazil in a specified period of time. The main motivation of the present study is based on a database with information on the injury severity of each person involved in an accident occurred in federal highways in Brazil during a time period ranging from January, 2018 to April, 2019 reported by the federal highway police office of Brazil. Four types of events associated with each injured person (uninjured, minor injury, serious injury and death) are grouped for each state of Brazil in each month characterizing compositional multivariate data. Such kind of data requires specific modeling and inference approaches that differ from the traditional use of multivariate models assuming multivariate normal distributions.The proportion events associated to the accidents (uninjured, minor injuries, serious injuries and deaths) are considered as a sample of vectors of proportions adding to a value one together with some covariates such as pavement conditions in each province, regions of Brazil, months and years that may affect the severity of the injury of each person involved in an accident. From the obtained results, it is observed that the proportions of serious accidents and deaths are affected by some covariates as the different regions of Brazil and years.
DOI: 10.6084/m9.figshare.14279905.v1
title: COMPOSITIONAL STATISTICAL MODELS UNDER A BAYESIAN APPROACH: AN APPLICATION TO TRAFFIC ACCIDENT DATA IN FEDERAL HIGHWAYS IN BRAZIL

description: ABSTRACT This study considers the use of a composicional statistical model under a Bayesian approach using Markov Chain Monte Carlo simulation methods applied for road traffic victims ocurring in federal roads of Brazil in a specified period of time. The main motivation of the present study is based on a database with information on the injury severity of each person involved in an accident occurred in federal highways in Brazil during a time period ranging from January, 2018 to April, 2019 reported by the federal highway police office of Brazil. Four types of events associated with each injured person (uninjured, minor injury, serious injury and death) are grouped for each state of Brazil in each month characterizing compositional multivariate data. Such kind of data requires specific modeling and inference approaches that differ from the traditional use of multivariate models assuming multivariate normal distributions.The proportion events associated to the accidents (uninjured, minor injuries, serious injuries and deaths) are considered as a sample of vectors of proportions adding to a value one together with some covariates such as pavement conditions in each province, regions of Brazil, months and years that may affect the severity of the injury of each person involved in an accident. From the obtained results, it is observed that the proportions of serious accidents and deaths are affected by some covariates as the different regions of Brazil and years.
DOI: 10.6084/m9.figshare.14279909
title: THE TRANSMUTED HALF-NORMAL DISTRIBUTION WITH APPLICATION TO PRECIPITATION DATA

description: ABSTRACT The Half-Normal distribution has been intensively extended in the recent years. A review of the literature showed that at least 10 extensions of the Half-Normal distribution were introduced between 2008 and 2016. These extensions generalized the behavior of the density and hazard functions, which are restricted to monotonous decreasing and monotonically increasing, respectively. In this paper we propose a new extension called the transmuted Half-Normal distribution using the quadratic rank transmutation map, introduced by Shaw & Buckley (2009). A comprehensive account of mathematical properties of the new distribution is presented. We provide explicit expressions for the moments, moment-generating function, Shannon’s entropy, mean deviations, Bonferroni and Lorenz curves, order statistics, and reliability. The estimation of the parameters is implemented by the maximum likelihood method. The bias and accuracy of the estimators are assayed by the Monte Carlo simulations. This proposed distribution allows us to incorporate covariates directly in the mean and consequently to quantify their influences on the average of the response variable. Experiment with two real data sets show usefulness and its value as a good alternative to several extensions of the Half-Normal distribution in data modeling with and without covariates.
DOI: 10.6084/m9.figshare.14279909.v1
title: THE TRANSMUTED HALF-NORMAL DISTRIBUTION WITH APPLICATION TO PRECIPITATION DATA

description: ABSTRACT The Half-Normal distribution has been intensively extended in the recent years. A review of the literature showed that at least 10 extensions of the Half-Normal distribution were introduced between 2008 and 2016. These extensions generalized the behavior of the density and hazard functions, which are restricted to monotonous decreasing and monotonically increasing, respectively. In this paper we propose a new extension called the transmuted Half-Normal distribution using the quadratic rank transmutation map, introduced by Shaw & Buckley (2009). A comprehensive account of mathematical properties of the new distribution is presented. We provide explicit expressions for the moments, moment-generating function, Shannon’s entropy, mean deviations, Bonferroni and Lorenz curves, order statistics, and reliability. The estimation of the parameters is implemented by the maximum likelihood method. The bias and accuracy of the estimators are assayed by the Monte Carlo simulations. This proposed distribution allows us to incorporate covariates directly in the mean and consequently to quantify their influences on the average of the response variable. Experiment with two real data sets show usefulness and its value as a good alternative to several extensions of the Half-Normal distribution in data modeling with and without covariates.
DOI: 10.6084/m9.figshare.14279910
title: SAPEVO-M: A GROUP MULTICRITERIA ORDINAL RANKING METHOD

description: ABSTRACT This paper proposes a new ordinal method to rank alternatives with multiple criteria and decision makers (DMs). This is a decision group ordinal method called SAPEVO-M, an acronym for Simple Aggregation of Preferences Expressed by Ordinal Vectors Group Decision Making. SAPEVO-M method allows for the aggregation of DM preference rankings into a consensus ranking and expresses the DM degrees of importance in the form of a rank order. It was developed for dealing with purely ordinal criteria and it is also applicable to situations in which ordinal and cardinal criteria are intermixed. A free version of the method was made available on the internet.
DOI: 10.6084/m9.figshare.14279910.v1
title: SAPEVO-M: A GROUP MULTICRITERIA ORDINAL RANKING METHOD

description: ABSTRACT This paper proposes a new ordinal method to rank alternatives with multiple criteria and decision makers (DMs). This is a decision group ordinal method called SAPEVO-M, an acronym for Simple Aggregation of Preferences Expressed by Ordinal Vectors Group Decision Making. SAPEVO-M method allows for the aggregation of DM preference rankings into a consensus ranking and expresses the DM degrees of importance in the form of a rank order. It was developed for dealing with purely ordinal criteria and it is also applicable to situations in which ordinal and cardinal criteria are intermixed. A free version of the method was made available on the internet.
DOI: 10.6084/m9.figshare.14279912
title: EVALUATION OF FLEXIBLE AND INTERACTIVE TRADEOFF METHOD BASED ON NUMERICAL SIMULATION EXPERIMENTS

description: ABSTRACT The Flexible and Interactive Tradeoff (FITradeoff) method is a multicriteria decision making/aiding (MCDM/A) method that uses partial information about the decision maker’s (DM’s) preferences in order to build a recommendation. This method preserves the strong axiomatic structure of the traditional tradeoff procedure, with an interactive and flexible process that demands less cognitive effort from the DM. Although FITradeoff has already been applied for aiding several practical decision situations, there is no previous study that tests the performance of this method with respect to expected theoretical benefits such as time and effort reduction. In this context, this paper presents the results of a simulation experiment that aims to analyze the behavior of FITradeoff in a wide range of scenarios. Computational constraints were identified in the simulation process, such as the number of simulations for each iteration. Despite the memory limitation of the software used, the number of total simulations performed was greater than what is commonly found in literature. We investigate how the performance of FITradeoff can be affected by changes in number of criteria, number of alternatives and weight pattern, and therefore it is possible to have a deeper understanding of the method and its main features. Therefore, this work focuses on studying, through simulations, the behavior of the multicriteria method FITradeoff, developed by De Almeida et al. (2016), filling a lack in the literature by analyzing said method in a wide array of scenarios by a simulation process in order to bring a better understanding of the method, as well as to validate it in a simulation study.
DOI: 10.6084/m9.figshare.14279912.v1
title: EVALUATION OF FLEXIBLE AND INTERACTIVE TRADEOFF METHOD BASED ON NUMERICAL SIMULATION EXPERIMENTS

description: ABSTRACT The Flexible and Interactive Tradeoff (FITradeoff) method is a multicriteria decision making/aiding (MCDM/A) method that uses partial information about the decision maker’s (DM’s) preferences in order to build a recommendation. This method preserves the strong axiomatic structure of the traditional tradeoff procedure, with an interactive and flexible process that demands less cognitive effort from the DM. Although FITradeoff has already been applied for aiding several practical decision situations, there is no previous study that tests the performance of this method with respect to expected theoretical benefits such as time and effort reduction. In this context, this paper presents the results of a simulation experiment that aims to analyze the behavior of FITradeoff in a wide range of scenarios. Computational constraints were identified in the simulation process, such as the number of simulations for each iteration. Despite the memory limitation of the software used, the number of total simulations performed was greater than what is commonly found in literature. We investigate how the performance of FITradeoff can be affected by changes in number of criteria, number of alternatives and weight pattern, and therefore it is possible to have a deeper understanding of the method and its main features. Therefore, this work focuses on studying, through simulations, the behavior of the multicriteria method FITradeoff, developed by De Almeida et al. (2016), filling a lack in the literature by analyzing said method in a wide array of scenarios by a simulation process in order to bring a better understanding of the method, as well as to validate it in a simulation study.
DOI: 10.6084/m9.figshare.14279915
title: THE REEL ALLOCATION PROBLEM OF A CORRUGATED PACKAGING COMPANY

description: ABSTRACT In this paper we address a reel allocation problem that appears in a corrugated cardboard packaging company. Given a production plan which incorporates customer orders and a set of reels in stock, the decision is how to allocate these reels to the corrugator to produce the ordered corrugated cardboard sheets, aiming to minimize the number of reels used, any partial consumption of reels, the unusable leftovers and the number of production stoppages. A mixed-integer mathematical model is proposed and computational tests were performed using instances generated based on real data. The computational results show that the proposed mathematical model is consistent with the reality of the studied company and brings interesting insights that can be used in the decision-making.
DOI: 10.6084/m9.figshare.14279915.v1
title: THE REEL ALLOCATION PROBLEM OF A CORRUGATED PACKAGING COMPANY

description: ABSTRACT In this paper we address a reel allocation problem that appears in a corrugated cardboard packaging company. Given a production plan which incorporates customer orders and a set of reels in stock, the decision is how to allocate these reels to the corrugator to produce the ordered corrugated cardboard sheets, aiming to minimize the number of reels used, any partial consumption of reels, the unusable leftovers and the number of production stoppages. A mixed-integer mathematical model is proposed and computational tests were performed using instances generated based on real data. The computational results show that the proposed mathematical model is consistent with the reality of the studied company and brings interesting insights that can be used in the decision-making.
DOI: 10.6084/m9.figshare.14279918.v1
title: THE CALCULATION OF THE BARYCENTER AS A CRITERION FOR DETERMINING THE LOCATION OF THE AMBULANCE OPERATIONAL BASE

description: ABSTRACT This article presents an analysis to determine the location of the operational base of the ambulance dispatch service by applying the barycenter calculation, using as an object of study the Emergency Medical Assistance Service - SAMU. The research was performed by the quantitative modeling method, through an applied research, so that the results could be used to solve the following problem: How to determine the location of an operational base according to service history? Thus, the objective of this paper is to evaluate the applicability of Operational Research, through the barycenter calculation method as a tool to determine the best location of the operational base. To this end, we analyzed the history of 19,711 calls made from 2010 to 2016, using the software “R-Studio” for a quantitative treatment, which resulted in the proposition of a viable and reliable solution to the problem, validating the method proposed.
DOI: 10.6084/m9.figshare.14279918
title: THE CALCULATION OF THE BARYCENTER AS A CRITERION FOR DETERMINING THE LOCATION OF THE AMBULANCE OPERATIONAL BASE

description: ABSTRACT This article presents an analysis to determine the location of the operational base of the ambulance dispatch service by applying the barycenter calculation, using as an object of study the Emergency Medical Assistance Service - SAMU. The research was performed by the quantitative modeling method, through an applied research, so that the results could be used to solve the following problem: How to determine the location of an operational base according to service history? Thus, the objective of this paper is to evaluate the applicability of Operational Research, through the barycenter calculation method as a tool to determine the best location of the operational base. To this end, we analyzed the history of 19,711 calls made from 2010 to 2016, using the software “R-Studio” for a quantitative treatment, which resulted in the proposition of a viable and reliable solution to the problem, validating the method proposed.
DOI: 10.6084/m9.figshare.12210635
title: “In the Hope that the Jesuit Priests Will Return”: The Slaves of the Expelled Jesuits under the Secular Management of the Temporalities (Buenos Aires, 1767-1775)

description: ABSTRACT Around the year 1767 more than 4,500 African-American slaves lived and worked on the properties that comprised the vast patrimony seized from the Society of Jesus on the Río de la Plata. The fragile balance of the Jesuits slave system was evidenced by the investigations on the management of temporalities, pointing out the failure of the Juntas in the maintenance/control of forced labor. However, in the case of Buenos Aires, only the sale of the kidnapped slaves in their condition of “movable property” has been studied. Our work proposes to reconstruct the decisions taken by the secular administration of Buenos Aires in relation to the treatment of this population and to infer the responses that the slaves themselves made to them in the context of post-expulsion uncertainty.
DOI: 10.6084/m9.figshare.12210635.v1
title: “In the Hope that the Jesuit Priests Will Return”: The Slaves of the Expelled Jesuits under the Secular Management of the Temporalities (Buenos Aires, 1767-1775)

description: ABSTRACT Around the year 1767 more than 4,500 African-American slaves lived and worked on the properties that comprised the vast patrimony seized from the Society of Jesus on the Río de la Plata. The fragile balance of the Jesuits slave system was evidenced by the investigations on the management of temporalities, pointing out the failure of the Juntas in the maintenance/control of forced labor. However, in the case of Buenos Aires, only the sale of the kidnapped slaves in their condition of “movable property” has been studied. Our work proposes to reconstruct the decisions taken by the secular administration of Buenos Aires in relation to the treatment of this population and to infer the responses that the slaves themselves made to them in the context of post-expulsion uncertainty.