The Bologna process is the creation of the European Higher Education Area by making academic degr... more The Bologna process is the creation of the European Higher Education Area by making academic degree standards and quality assurance standards more comparable and compatible throughout Europe. The universities aimed to be in the European Higher Education Area have to adapt their systems to the Bologna process. One of the main problems in the adaptation process is to evaluate and select the courses by considering the stakeholders’ opinions and Bologna process’ restrictions. In this study, a multi-criteria decision making methodology is proposed to solve the course evaluation and selection problem. The proposed multi-criteria decision making methodology is applied to a graduate program of an Industrial Engineering Department
International Transactions in Operational Research, 2015
Student selection is a multicriteria decision-making problem that includes both tangible and inta... more Student selection is a multicriteria decision-making problem that includes both tangible and intangible factors. In these problems if educational institutions have budget or other different constraints, two problems will exist: which students are the best and how students are assigned to the predefined programs? In this study, an integrated approach of fuzzy MULTIMOORA and multichoice conic goal programming is proposed to consider criteria in choosing the best students and define the optimum assignments among the predefined programs to maximize both the total preference value and total ranking value. The rankings of the students are determined by using fuzzy MULTIMOORA. The rankings of candidates are set as the parameters of the first objective function. The placement preferences of the students according to the predefined programs are considered in the second objective function. The candidates are assigned to their placement preferences both by using multichoice conic goal programming among partner universities according to the objectives and by considering the budget and quota.
Bu çalışmada Bologna süreci kapsamında lisans programlarının ders planlarının güncellenmesi aşama... more Bu çalışmada Bologna süreci kapsamında lisans programlarının ders planlarının güncellenmesi aşaması ele alınmıştır. Avrupa ve Türkiye'deki benzer Endüstri Mühendisliği programlarının ders planları göz önünde bulundurularak, dersler belirlenmiştir. Avrupa Kredi Transfer ve Biriktirme Sistemi değerleri, ders sayısı, dönem sayısı, ilgili diğer parametreler, derslerin öncüllük kısıtları ve Bologna süreci kapsamındaki diğer kısıtlar dikkate alınarak ders planı oluşturma problemi, hat dengeleme problemi olarak modellenmiştir. Oluşturulan hat dengeleme problemi WINQSB yazılımı yardımıyla farklı sezgisel yöntemler kullanılarak çözülmüş, sonuçlar karşılaştırılmış ve uygun ders planları oluşturulmuştur.
Portfolio selection problems include vague parameters and fuzzy set is a powerful tool to cope wi... more Portfolio selection problems include vague parameters and fuzzy set is a powerful tool to cope with uncertainty caused by both the financial markets and the behavior of the investors' decisions. This paper presents a fuzzy multi-criteria decision making (MCDM) approach to evaluate nine stocks taken from ISE. The Fuzzy Analytic Hierarchy Process method is applied to determine the weights of criteria according to two investors' preferences. Performances of alternatives for each criterion are analyzed by using linguistic terms. Finally the portfolio proportions are proposed based on the performances.
In recent years, the mobility has become one of the most important goals of the European Union (E... more In recent years, the mobility has become one of the most important goals of the European Union (EU). Erasmus (European Region Action Scheme for the Mobility of University Students) Program is the EU program which encourages Higher Education Institutions to cooperate with each other. This program conducts short-term exchange of students and staff. The student selection process has a critical role to achieve effectively corporations among universities which are at least one in EU. The purpose of this article is to score and rank the students at the oral examination for the Erasmus Student Mobility. The evaluation of the students by an oral examination is not easier than a written exam. The evaluation process according to an oral exam is a Multiple-Criteria Decision Making (MCDM) process including group decision-making with tangible and intangible criteria. In this study, the students were evaluated by fuzzy Analytic Hierarchy Process (AHP) method and the results obtained from fuzzy AH...
The International Journal of Advanced Manufacturing Technology, 2014
This study presents operational decision support software to efficiently solve cell formation pro... more This study presents operational decision support software to efficiently solve cell formation problems with multiple routes. The software includes two revised algorithms that assist decision makers in choosing the best cellular layout. These revised algorithms are the multiobjective genetic algorithm that uses two different scalarization methods such as conic scalarization and weighted sum scalarization and the fuzzy c-means algorithm for problems with multiple routes. From these algorithms, the multiobjective genetic algorithm with conic scalarization has important advantages over many multiobjective approaches in the literature for being able to reach all efficient solutions for linear and nonlinear multiobjective models. These revised algorithms and the decision support software were tested on some data sets collected from an engine manufacturing plant and the literature. The test results showed that, in many cases, the revised multiobjective genetic algorithm with conic scalarization results in better performance than the revised fuzzy c-means algorithm and the methods used in the test problems for problems with multiobjective and multiple routes. Practitioners and researchers can use this operational decision support software and the multiobjective genetic algorithm with conic scalarization to obtain higher-quality cellular layout solutions compared with other software applications in the literature.
International Journal of the Analytic Hierarchy Process, 2015
ABSTRACT This study proposes a multi-choice goal programming for the single machine scheduling pr... more ABSTRACT This study proposes a multi-choice goal programming for the single machine scheduling problem of minimizing the weighted number of tardy jobs, the total weighted completion time and makespan with sequence-dependent setup times. In this problem, there are n candidate jobs for processing in a single machine, each job has a weight, a due date, a processing time, and also sequence-dependent setup times exist between two consecutive jobs. In the first stage of the proposed methodology, the job weights of each job are determined by using Analytic Hierarchy Method (AHP) method. In the second stage, 0-1 mixed integer non-linear programming model is built by considering three objective functions and the ideal point is obtained by minimizing the objectives individually. Then, the multi-choice goal programming is used to allow the decision makers to set multi-choice aspiration levels for each goal.
ABSTRACT This paper presents a nonlinear multi-objective mathematical model to obtain quality sol... more ABSTRACT This paper presents a nonlinear multi-objective mathematical model to obtain quality solutions for design problems of cellular manufacturing systems. The objectives of the multi-objective model are, simultaneously, (1) to minimize the number of exceptional elements among manufacturing cells, (2) to minimize the number of voids in a cell, and (3) to minimize cell load variation. In this paper, a new multi-objective genetic algorithm (GA) approach has been proposed to solve the multi-objective problem. In contrast to existing GA approaches, this GA approach contains some revised genetic operators and uses a conic scalarization method to convert the mathematical model’s objectives in a single objective function. This approach has been tested and compared with two test problems and some source models collected from the literature. The results have shown that the problem-solving performance of the proposed multi-objective approach is at least as good as the existing approaches in designing the cellular system, and in many cases better than them
The Bologna process is the creation of the European Higher Education Area by making academic degr... more The Bologna process is the creation of the European Higher Education Area by making academic degree standards and quality assurance standards more comparable and compatible throughout Europe. The universities aimed to be in the European Higher Education Area have to adapt their systems to the Bologna process. One of the main problems in the adaptation process is to evaluate and select the courses by considering the stakeholders’ opinions and Bologna process’ restrictions. In this study, a multi-criteria decision making methodology is proposed to solve the course evaluation and selection problem. The proposed multi-criteria decision making methodology is applied to a graduate program of an Industrial Engineering Department
International Transactions in Operational Research, 2015
Student selection is a multicriteria decision-making problem that includes both tangible and inta... more Student selection is a multicriteria decision-making problem that includes both tangible and intangible factors. In these problems if educational institutions have budget or other different constraints, two problems will exist: which students are the best and how students are assigned to the predefined programs? In this study, an integrated approach of fuzzy MULTIMOORA and multichoice conic goal programming is proposed to consider criteria in choosing the best students and define the optimum assignments among the predefined programs to maximize both the total preference value and total ranking value. The rankings of the students are determined by using fuzzy MULTIMOORA. The rankings of candidates are set as the parameters of the first objective function. The placement preferences of the students according to the predefined programs are considered in the second objective function. The candidates are assigned to their placement preferences both by using multichoice conic goal programming among partner universities according to the objectives and by considering the budget and quota.
Bu çalışmada Bologna süreci kapsamında lisans programlarının ders planlarının güncellenmesi aşama... more Bu çalışmada Bologna süreci kapsamında lisans programlarının ders planlarının güncellenmesi aşaması ele alınmıştır. Avrupa ve Türkiye'deki benzer Endüstri Mühendisliği programlarının ders planları göz önünde bulundurularak, dersler belirlenmiştir. Avrupa Kredi Transfer ve Biriktirme Sistemi değerleri, ders sayısı, dönem sayısı, ilgili diğer parametreler, derslerin öncüllük kısıtları ve Bologna süreci kapsamındaki diğer kısıtlar dikkate alınarak ders planı oluşturma problemi, hat dengeleme problemi olarak modellenmiştir. Oluşturulan hat dengeleme problemi WINQSB yazılımı yardımıyla farklı sezgisel yöntemler kullanılarak çözülmüş, sonuçlar karşılaştırılmış ve uygun ders planları oluşturulmuştur.
Portfolio selection problems include vague parameters and fuzzy set is a powerful tool to cope wi... more Portfolio selection problems include vague parameters and fuzzy set is a powerful tool to cope with uncertainty caused by both the financial markets and the behavior of the investors' decisions. This paper presents a fuzzy multi-criteria decision making (MCDM) approach to evaluate nine stocks taken from ISE. The Fuzzy Analytic Hierarchy Process method is applied to determine the weights of criteria according to two investors' preferences. Performances of alternatives for each criterion are analyzed by using linguistic terms. Finally the portfolio proportions are proposed based on the performances.
In recent years, the mobility has become one of the most important goals of the European Union (E... more In recent years, the mobility has become one of the most important goals of the European Union (EU). Erasmus (European Region Action Scheme for the Mobility of University Students) Program is the EU program which encourages Higher Education Institutions to cooperate with each other. This program conducts short-term exchange of students and staff. The student selection process has a critical role to achieve effectively corporations among universities which are at least one in EU. The purpose of this article is to score and rank the students at the oral examination for the Erasmus Student Mobility. The evaluation of the students by an oral examination is not easier than a written exam. The evaluation process according to an oral exam is a Multiple-Criteria Decision Making (MCDM) process including group decision-making with tangible and intangible criteria. In this study, the students were evaluated by fuzzy Analytic Hierarchy Process (AHP) method and the results obtained from fuzzy AH...
The International Journal of Advanced Manufacturing Technology, 2014
This study presents operational decision support software to efficiently solve cell formation pro... more This study presents operational decision support software to efficiently solve cell formation problems with multiple routes. The software includes two revised algorithms that assist decision makers in choosing the best cellular layout. These revised algorithms are the multiobjective genetic algorithm that uses two different scalarization methods such as conic scalarization and weighted sum scalarization and the fuzzy c-means algorithm for problems with multiple routes. From these algorithms, the multiobjective genetic algorithm with conic scalarization has important advantages over many multiobjective approaches in the literature for being able to reach all efficient solutions for linear and nonlinear multiobjective models. These revised algorithms and the decision support software were tested on some data sets collected from an engine manufacturing plant and the literature. The test results showed that, in many cases, the revised multiobjective genetic algorithm with conic scalarization results in better performance than the revised fuzzy c-means algorithm and the methods used in the test problems for problems with multiobjective and multiple routes. Practitioners and researchers can use this operational decision support software and the multiobjective genetic algorithm with conic scalarization to obtain higher-quality cellular layout solutions compared with other software applications in the literature.
International Journal of the Analytic Hierarchy Process, 2015
ABSTRACT This study proposes a multi-choice goal programming for the single machine scheduling pr... more ABSTRACT This study proposes a multi-choice goal programming for the single machine scheduling problem of minimizing the weighted number of tardy jobs, the total weighted completion time and makespan with sequence-dependent setup times. In this problem, there are n candidate jobs for processing in a single machine, each job has a weight, a due date, a processing time, and also sequence-dependent setup times exist between two consecutive jobs. In the first stage of the proposed methodology, the job weights of each job are determined by using Analytic Hierarchy Method (AHP) method. In the second stage, 0-1 mixed integer non-linear programming model is built by considering three objective functions and the ideal point is obtained by minimizing the objectives individually. Then, the multi-choice goal programming is used to allow the decision makers to set multi-choice aspiration levels for each goal.
ABSTRACT This paper presents a nonlinear multi-objective mathematical model to obtain quality sol... more ABSTRACT This paper presents a nonlinear multi-objective mathematical model to obtain quality solutions for design problems of cellular manufacturing systems. The objectives of the multi-objective model are, simultaneously, (1) to minimize the number of exceptional elements among manufacturing cells, (2) to minimize the number of voids in a cell, and (3) to minimize cell load variation. In this paper, a new multi-objective genetic algorithm (GA) approach has been proposed to solve the multi-objective problem. In contrast to existing GA approaches, this GA approach contains some revised genetic operators and uses a conic scalarization method to convert the mathematical model’s objectives in a single objective function. This approach has been tested and compared with two test problems and some source models collected from the literature. The results have shown that the problem-solving performance of the proposed multi-objective approach is at least as good as the existing approaches in designing the cellular system, and in many cases better than them
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