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Gülfem Tuzkaya

Marmara University, Industrial Engineering, Faculty Member

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SAYED REZWANUL ISLAM

Rajshahi University of Engineering and Technology

Surendra M. Gupta

Ripon Kumar Chakrabortty

The University of New South Wales

Eryka Jo Monato

Anna University

Anand Jayakumar Arumugham

Anna University

Selcuk University (Selçuk Üniversitesi)

Zakaria Djemmaa

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Papers by Gülfem Tuzkaya

ISSN 1943-670X © INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING An Aggregate Production Planning Strategy Selection Methodology based on Linear Physical Programming

In this paper, a multi-objective model for aggregate production planning is presented which inclu... more In this paper, a multi-objective model for aggregate production planning is presented which includes two objectives: (1) minimized cost and (2) minimized effect on the workforce motivation level caused by hire/layoff decisions. Then, six strategies are considered and the most appropriate one is determined to structure the plan. These strategies are set the regular time production quantities in a certain value which is unique for each. A preference based optimization method called Linear Physical Programming (LPP) is used to solve the model. A forecasting phase which chooses the convenient method to forecast the demand for planning horizon is embedded to study in addition to application of LPP to an APP model as another key contribution of this paper. Significance: This paper presents the application of a relatively new method –Linear Physical Programming- to the Aggregate Production Planning strategy selection process. This method provides a flexibility to decision makers in terms o...

Evaluating centralized return centers in a reverse logistics network: An integrated fuzzy multi-criteria decision approach

International Journal of Environmental Science & Technology, 2008

In this paper, the centralized return centers location evaluation problem in a reverse logistics ... more In this paper, the centralized return centers location evaluation problem in a reverse logistics network is investigated. This problem is solved via an integrated analytic network process-fuzzy technique for order preference by similarity to ideal solution approach. Analytic network process allows us to evaluate criteria preferences while considering interdependence between them. On the other hand, technique for order preference by similarity to ideal solution decreases the number of computational steps compared to simple analytic network process evaluation. An important characteristic of the centralized return centers location evaluation problem, vagueness, is adapted to the methodology via the usage of fuzzy numbers in the technique for order preference by similarity to ideal solution approach. Finally, a numerical example is given to demonstrate the usefulness of the methodology. The results indicate that, this integrated multi-criteria decision making methodology is suitable for the decision making problems that needs considering multiple criteria conflicting each other. Also, by using this methodology, the interdependences between the criteria may be considered for these kinds of problems in a flexible and systematic manner.

A comparative analysis of meta-heuristic approaches for facility layout design problem: a case study for an elevator manufacturer

Journal of Intelligent Manufacturing, 2011

In this study, a novel usage of four metaheuristic approaches Genetic algorithm (GA), Simulated a... more In this study, a novel usage of four metaheuristic approaches Genetic algorithm (GA), Simulated annealing (SA), migrating bird optimization algorithm (MBO) and clonal selection algorithm (CSA) are applied to multidimensional two-way number partitioning problem (MDTWNPP). MDTWNPP is a classical combinatorial NP-hard optimization problem where a set of vectors have more than one coordinate is partitioned into two subsets. The main objective function of MDTWNPP is to minimize the maximum absolute difference between the sums per coordinate of elements. In order to solve this problem, GA is applied with greedy crossover and mutation operators. SA is improved with dual local search mechanism. MBO is specialized as multiple flock migrating birds optimization algorithms. CSA is applied with problem specific hyper mutation process. Furthermore, all instances are solved using an integer linear programming model which was previously presented in the literature. In the experiments, four metaheuristic approaches and integer linear programming model are used to solve 126 datasets with different sizes and coordinates. As a brief result, the GA and SA approaches designed for this problem outperformed all other heuristics and the integer programming model. Both the performance of GA and SA approaches are in a competitive manner where GA and SA yielded the best solution for 56 and 65 out of 125 datasets, respectively.

Aircraft Maintenance Routing Problem – A Literature Survey

Promet - Traffic&Transportation, 2021

The airline industry has shown significant growth in the last decade according to some indicators... more The airline industry has shown significant growth in the last decade according to some indicators such as annual average growth in global air traffic passenger demand and growth rate in the global air transport fleet. This inevitable progress makes the airline industry challenging and forces airline companies to produce a range of solutions that increase consumer loyalty to the brand. These solutions to reduce the high costs encountered in airline operations, prevent delays in planned departure times, improve service quality, or reduce environmental impacts can be diversified according to the need. Although one can refer to past surveys, it is not sufficient to cover the rich literature of airline scheduling, especially for the last decade. This study aims to fill this gap by reviewing the airline operations related papers published between 2009 and 2019, and focus on the ones especially in the aircraft maintenance routing area which seems a promising branch.

A mathematical model for personnel task assignment problem and an application for banking sector

An International Journal of Optimization and Control: Theories & Applications (IJOCTA), 2020

Efficient planning and management of the workforce resources is one of the most essential require... more Efficient planning and management of the workforce resources is one of the most essential requirements for the companies operating in the service sector. For banks, a large number of transactions coming to Central Operations Department from the branches or directly from the customers and their aim is to provide the best operational service with the highest efficiency with the limited workforce resources in the departments. In this study, a real assignment problem was discussed and the problem was considered as Generalized Assignment Problem. For the solution of the problem, related algorithms were listed and examined in the literature survey section. Then, a two-step method is proposed. First step prioritizes the task coming to the system by considering the customer types, service level agreement (SLA) times, cut-off times, task type. In the second step, a multi-objective mathematical model was developed to assign task to employee groups. A preference based optimization method call...

An Integrated Dematel–If-Topsis Methodology for Logistics Centers’ Location Selection Problem: An Application for Istanbul Metropolitan Area

Transport, 2020

Logistics Centers (LCs) are among the most important facilities for rapid, cost effective, enviro... more Logistics Centers (LCs) are among the most important facilities for rapid, cost effective, environmental friendly and secure logistics services to the urban logistics problems. Finding proper locations to LCs has an important effect on their success. In this study, LCs’ location selection problem for Istanbul Metropolitan area is investigated. Istanbul is a leading city of Turkey in many categories including various industries, import/export amounts, transportation infrastructure and population density. However, industrialization and urbanization have introduced numerous problems to Istanbul. New projects are continuously being announced for the problems of metropolis, however, they may also bring new problems if they are not punctiliously planned and applied. Hence, in this study, it is aimed to propose a systematic Multi-Criteria Decision-Making (MCDM) approach for the LCs’ location selection problem of Istanbul. In this approach, an integrated DEcision-MAking Trial and Evaluation...

An Aggregate Production Planning Strategy Selection Methodology based on Linear Physical Programming

International Journal of …, 2009

International Journal of Industrial Engineering: Theory, Applications and Practice. User Username... more

An intuitionistic fuzzy Choquet integral operator based methodology for environmental criteria integrated supplier evaluation process

International Journal of Environmental Science and Technology, 2013

Supplier evaluation problems deal with selecting appropriate suppliers considering multiple crite... more Supplier evaluation problems deal with selecting appropriate suppliers considering multiple criteria, which may be related with qualitative and quantitative aspects. Traditional supplier selection criteria contain criteria such as cost, capacity, delivery reliability, flexibility, and responsiveness, etc. However, due to the increasing level of environmental problems, it is a necessity to take environmental criteria into account together with the traditional decision criteria in the supplier evaluation processes of companies. Considering this necessity, this paper proposes a decision making methodology for environmental criteria integrated supplier evaluation processes. A methodology based on intuitionistic fuzzy Choquet integral operator is utilized to take into account vagueness of the decision environment and the interactions among the criteria. This methodology also provides the consideration of the satisfaction and dissatisfaction degrees of alternatives for each criterion with the help of intuitionistic fuzzy values. In addition, the effects of the criteria weights to the final ranking of suppliers are analyzed via sensitivity analyses.

Genetik Algoritmalar Ile Tesis Yerleşimi Tasarımı Ve Bir Uygulama= Facility Layout Design With Genetic Algorithms and An Application

by Bahadir GÜlsÜn, Gülfem Tuzkaya, and Cem Duman

Dogus University Journal

Design of the facility layouts have important effects on the operational productivity and efficie... more

A Multi-Criteria Decision Making Approach for Machine Tool Selection Problem in a Fuzzy Environment

Tools and machines have an important effect on the manufacturing operations' effectiveness and th... more Tools and machines have an important effect on the manufacturing operations' effectiveness and the selection process of appropriate tools and machines is a complex issue with the consideration of multiple criteria. Considering the complexity of the problem area and the difficulties in machine tools evaluation processes, the main purpose of this study is to present a novel and effective methodology for machine tool selection problem. The proposed methodology constituted for this aim combines the modified DELPHI method, AHP (Analytical Hierarchy Process) and PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluations) approaches with fuzzy sets theory to be able to reflect the vagueness related to judgment of the decision-maker(s). A real life application is realized for pressing machine selection problem of a fixing products manufacturer from Turkey, Istanbul. The results of the proposed approach are compared with the results of fuzzy AHP–fuzzy TOPSIS approach. Additionally, sensitivity analyses are realized to show the changes in the results with the change in the criteria weights.

A methodology for the strategic design of reverse logistics networks and its application in the Turkish white goods industry

International Journal of Production Research, 2011

In this study, a multi-objective model for the reverse logistics network design (RLND) problem an... more In this study, a multi-objective model for the reverse logistics network design (RLND) problem and a novel methodology are proposed. The proposed methodology is comprised of two stages: the centralised return centre (CRC) evaluation stage and the reverse logistics network design (RLND) stage. In the first stage an integrated ANP and fuzzy-TOPSIS methodology is utilised. In the second stage, using the CRC weights obtained in the first stage, the RLND model is solved via genetic algorithms (GAs). The proposed methodology is applied to a case from the Turkish white goods industry. The results are discussed and analysed.

GENETİK ALGORİTMALAR İLE TESİS YERLEŞİMİ TASARIMI VE BİR UYGULAMA FACILITY LAYOUT DESIGN WITH GENETIC ALGORITHMS AND AN APPLICATION

by Gülfem Tuzkaya and Bahadir GÜlsÜn

ÖZET: Tesis yerleşiminin en uygun bir şekilde tasarlanması, üretim tesislerinin etkin ve verimli ... more ÖZET: Tesis yerleşiminin en uygun bir şekilde tasarlanması, üretim tesislerinin etkin ve verimli bir şekilde işletilebilmesinde önemli bir role sahiptir. Tesis yerleşim tasarımı problemleri, çeşitli akış ilişkilerinin de değerlendirilmesini gerektiren problemlerdir ve literatürde Karesel Atama Problemleri (KAP) olarak çözümlendirilmesi yoluna sıkça gidilmiştir. KAP için tesis yerleşimi tasarımı NP-Zor sınıfına girmektedir ve bu nedenle, bu çalışmada, bu tarz problemlere çözüm getirmesi açısından başarılı bir metot olan Genetik Algoritmalar (GA)'dan faydalanılmıştır. Visual Studio C++ 6.0 ortamında LO (Layout Optimizer -Yerleşim En İyileyici) isimli bir yazılım geliştirilmiştir. Bu yazılımla elde edilen sonuçlar, KAP kütüphanesinden alınan literatür problemleriyle test edilmiştir ve her problem için bilinen en iyi çözüme %99'dan daha fazla bir oranda yaklaşılmıştır. Metodoloji, yapısal elektrik malzemeleri imalat sektöründe bir tedarikçi firma için uygulanmıştır ve taşıma maliyetlerinde % 41'lik bir iyileşme sağlanabileceği ortaya konulmuştur.

An integrated fuzzy multi-criteria decision making methodology for material handling equipment selection problem and an application

Expert Systems With Applications, 2010

Material handling equipment selection problem (MHESP) is an important decision making area for th... more Material handling equipment selection problem (MHESP) is an important decision making area for the companies, since it has a direct effect on manufacturing and service productivity. In this study, an integrated fuzzy multi-criteria decision making methodology for MHESP is proposed. The proposed approach is utilized from fuzzy sets, Analytic Network Process (ANP) and Preference Ranking Organization METHod for Enrichment Evaluations (PROMETHEE) approaches. Evaluation criteria for the MHESP is weighted by fuzzy-ANP (F-ANP) approach, then, alternative material handling equipments are evaluated by fuzzy-PROMETHEE (F-PROMETHEE) approach. The methodology is applied for a manufacturing company to prove its effectiveness. Finally, some sensitivity analyses are conducted to show the results’ sensitiveness to the changes of the weights of the evaluation criteria.

Environmental performance evaluation of suppliers: A hybrid fuzzy multi-criteria decision approach

Increasing environmental problems enforce companies to be more environmental responsible.

A two-phase possibilistic linear programming methodology for multi-objective supplier evaluation and order allocation problems

Information Sciences, 2008

In this study, an integration of the analytic hierarchy process (AHP) and a multi-objective possi... more In this study, an integration of the analytic hierarchy process (AHP) and a multi-objective possibilistic linear programming (MOPLP) technique is developed to account for all tangible, intangible, quantitative, and qualitative factors which are used to evaluate and select suppliers and to define the optimum order quantities assigned to each. A multi-objective linear programming technique is first employed to solve the problem. To model the uncertainties encountered in the integrated supplier evaluation and order allocation methodology, fuzzy theory is adopted. Hence, possibilistic linear programming (PLP) is proposed for solving the problem, as it is believed to be the best approach for absorbing the imprecise nature of the real world. In the supplier evaluation phase, environmental criteria are also considered.

An analytic network process approach for locating undesirable facilities: An example from Istanbul, Turkey

Journal of Environmental Management, 2008

Locating an undesirable facility is a sophisticated problem, for the evaluation procedures involv... more Locating an undesirable facility is a sophisticated problem, for the evaluation procedures involve several objectives and the solution to the problem calls for some compromises to be made between probable conflicting criteria. This paper addresses the problem of undesirable facility location selection using the analytic network process (ANP), a multi-criteria decision-making technique. The ANP technique enables us to consider both qualitative and quantitative criteria as well as the interdependencies and feedbacks. A number of criteria (benefits, opportunities, costs and risks) and their sub-criteria are considered for siting a new facility with which this study has dealt. The questions of what criteria would be considered and what the interdependencies between these criteria and their weights would be were discussed and determined via interviews with some competent authorities of the Istanbul Municipality and of two environmental organizations. Four representative locations were evaluated and the most convenient one was selected. This was followed by the sensitivity analyses of the results.

ISSN 1943-670X © INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING An Aggregate Production Planning Strategy Selection Methodology based on Linear Physical Programming

In this paper, a multi-objective model for aggregate production planning is presented which inclu... more In this paper, a multi-objective model for aggregate production planning is presented which includes two objectives: (1) minimized cost and (2) minimized effect on the workforce motivation level caused by hire/layoff decisions. Then, six strategies are considered and the most appropriate one is determined to structure the plan. These strategies are set the regular time production quantities in a certain value which is unique for each. A preference based optimization method called Linear Physical Programming (LPP) is used to solve the model. A forecasting phase which chooses the convenient method to forecast the demand for planning horizon is embedded to study in addition to application of LPP to an APP model as another key contribution of this paper. Significance: This paper presents the application of a relatively new method –Linear Physical Programming- to the Aggregate Production Planning strategy selection process. This method provides a flexibility to decision makers in terms o...

Evaluating centralized return centers in a reverse logistics network: An integrated fuzzy multi-criteria decision approach

International Journal of Environmental Science & Technology, 2008

In this paper, the centralized return centers location evaluation problem in a reverse logistics ... more In this paper, the centralized return centers location evaluation problem in a reverse logistics network is investigated. This problem is solved via an integrated analytic network process-fuzzy technique for order preference by similarity to ideal solution approach. Analytic network process allows us to evaluate criteria preferences while considering interdependence between them. On the other hand, technique for order preference by similarity to ideal solution decreases the number of computational steps compared to simple analytic network process evaluation. An important characteristic of the centralized return centers location evaluation problem, vagueness, is adapted to the methodology via the usage of fuzzy numbers in the technique for order preference by similarity to ideal solution approach. Finally, a numerical example is given to demonstrate the usefulness of the methodology. The results indicate that, this integrated multi-criteria decision making methodology is suitable for the decision making problems that needs considering multiple criteria conflicting each other. Also, by using this methodology, the interdependences between the criteria may be considered for these kinds of problems in a flexible and systematic manner.

A comparative analysis of meta-heuristic approaches for facility layout design problem: a case study for an elevator manufacturer

Journal of Intelligent Manufacturing, 2011

In this study, a novel usage of four metaheuristic approaches Genetic algorithm (GA), Simulated a... more In this study, a novel usage of four metaheuristic approaches Genetic algorithm (GA), Simulated annealing (SA), migrating bird optimization algorithm (MBO) and clonal selection algorithm (CSA) are applied to multidimensional two-way number partitioning problem (MDTWNPP). MDTWNPP is a classical combinatorial NP-hard optimization problem where a set of vectors have more than one coordinate is partitioned into two subsets. The main objective function of MDTWNPP is to minimize the maximum absolute difference between the sums per coordinate of elements. In order to solve this problem, GA is applied with greedy crossover and mutation operators. SA is improved with dual local search mechanism. MBO is specialized as multiple flock migrating birds optimization algorithms. CSA is applied with problem specific hyper mutation process. Furthermore, all instances are solved using an integer linear programming model which was previously presented in the literature. In the experiments, four metaheuristic approaches and integer linear programming model are used to solve 126 datasets with different sizes and coordinates. As a brief result, the GA and SA approaches designed for this problem outperformed all other heuristics and the integer programming model. Both the performance of GA and SA approaches are in a competitive manner where GA and SA yielded the best solution for 56 and 65 out of 125 datasets, respectively.

Aircraft Maintenance Routing Problem – A Literature Survey

Promet - Traffic&Transportation, 2021

The airline industry has shown significant growth in the last decade according to some indicators... more The airline industry has shown significant growth in the last decade according to some indicators such as annual average growth in global air traffic passenger demand and growth rate in the global air transport fleet. This inevitable progress makes the airline industry challenging and forces airline companies to produce a range of solutions that increase consumer loyalty to the brand. These solutions to reduce the high costs encountered in airline operations, prevent delays in planned departure times, improve service quality, or reduce environmental impacts can be diversified according to the need. Although one can refer to past surveys, it is not sufficient to cover the rich literature of airline scheduling, especially for the last decade. This study aims to fill this gap by reviewing the airline operations related papers published between 2009 and 2019, and focus on the ones especially in the aircraft maintenance routing area which seems a promising branch.

A mathematical model for personnel task assignment problem and an application for banking sector

An International Journal of Optimization and Control: Theories & Applications (IJOCTA), 2020

Efficient planning and management of the workforce resources is one of the most essential require... more Efficient planning and management of the workforce resources is one of the most essential requirements for the companies operating in the service sector. For banks, a large number of transactions coming to Central Operations Department from the branches or directly from the customers and their aim is to provide the best operational service with the highest efficiency with the limited workforce resources in the departments. In this study, a real assignment problem was discussed and the problem was considered as Generalized Assignment Problem. For the solution of the problem, related algorithms were listed and examined in the literature survey section. Then, a two-step method is proposed. First step prioritizes the task coming to the system by considering the customer types, service level agreement (SLA) times, cut-off times, task type. In the second step, a multi-objective mathematical model was developed to assign task to employee groups. A preference based optimization method call...

An Integrated Dematel–If-Topsis Methodology for Logistics Centers’ Location Selection Problem: An Application for Istanbul Metropolitan Area

Transport, 2020

Logistics Centers (LCs) are among the most important facilities for rapid, cost effective, enviro... more Logistics Centers (LCs) are among the most important facilities for rapid, cost effective, environmental friendly and secure logistics services to the urban logistics problems. Finding proper locations to LCs has an important effect on their success. In this study, LCs’ location selection problem for Istanbul Metropolitan area is investigated. Istanbul is a leading city of Turkey in many categories including various industries, import/export amounts, transportation infrastructure and population density. However, industrialization and urbanization have introduced numerous problems to Istanbul. New projects are continuously being announced for the problems of metropolis, however, they may also bring new problems if they are not punctiliously planned and applied. Hence, in this study, it is aimed to propose a systematic Multi-Criteria Decision-Making (MCDM) approach for the LCs’ location selection problem of Istanbul. In this approach, an integrated DEcision-MAking Trial and Evaluation...

An Aggregate Production Planning Strategy Selection Methodology based on Linear Physical Programming

International Journal of …, 2009

International Journal of Industrial Engineering: Theory, Applications and Practice. User Username... more

An intuitionistic fuzzy Choquet integral operator based methodology for environmental criteria integrated supplier evaluation process

International Journal of Environmental Science and Technology, 2013

Supplier evaluation problems deal with selecting appropriate suppliers considering multiple crite... more Supplier evaluation problems deal with selecting appropriate suppliers considering multiple criteria, which may be related with qualitative and quantitative aspects. Traditional supplier selection criteria contain criteria such as cost, capacity, delivery reliability, flexibility, and responsiveness, etc. However, due to the increasing level of environmental problems, it is a necessity to take environmental criteria into account together with the traditional decision criteria in the supplier evaluation processes of companies. Considering this necessity, this paper proposes a decision making methodology for environmental criteria integrated supplier evaluation processes. A methodology based on intuitionistic fuzzy Choquet integral operator is utilized to take into account vagueness of the decision environment and the interactions among the criteria. This methodology also provides the consideration of the satisfaction and dissatisfaction degrees of alternatives for each criterion with the help of intuitionistic fuzzy values. In addition, the effects of the criteria weights to the final ranking of suppliers are analyzed via sensitivity analyses.

Genetik Algoritmalar Ile Tesis Yerleşimi Tasarımı Ve Bir Uygulama= Facility Layout Design With Genetic Algorithms and An Application

by Bahadir GÜlsÜn, Gülfem Tuzkaya, and Cem Duman

Dogus University Journal

Design of the facility layouts have important effects on the operational productivity and efficie... more

A Multi-Criteria Decision Making Approach for Machine Tool Selection Problem in a Fuzzy Environment

Tools and machines have an important effect on the manufacturing operations' effectiveness and th... more Tools and machines have an important effect on the manufacturing operations' effectiveness and the selection process of appropriate tools and machines is a complex issue with the consideration of multiple criteria. Considering the complexity of the problem area and the difficulties in machine tools evaluation processes, the main purpose of this study is to present a novel and effective methodology for machine tool selection problem. The proposed methodology constituted for this aim combines the modified DELPHI method, AHP (Analytical Hierarchy Process) and PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluations) approaches with fuzzy sets theory to be able to reflect the vagueness related to judgment of the decision-maker(s). A real life application is realized for pressing machine selection problem of a fixing products manufacturer from Turkey, Istanbul. The results of the proposed approach are compared with the results of fuzzy AHP–fuzzy TOPSIS approach. Additionally, sensitivity analyses are realized to show the changes in the results with the change in the criteria weights.

A methodology for the strategic design of reverse logistics networks and its application in the Turkish white goods industry

International Journal of Production Research, 2011

In this study, a multi-objective model for the reverse logistics network design (RLND) problem an... more In this study, a multi-objective model for the reverse logistics network design (RLND) problem and a novel methodology are proposed. The proposed methodology is comprised of two stages: the centralised return centre (CRC) evaluation stage and the reverse logistics network design (RLND) stage. In the first stage an integrated ANP and fuzzy-TOPSIS methodology is utilised. In the second stage, using the CRC weights obtained in the first stage, the RLND model is solved via genetic algorithms (GAs). The proposed methodology is applied to a case from the Turkish white goods industry. The results are discussed and analysed.

GENETİK ALGORİTMALAR İLE TESİS YERLEŞİMİ TASARIMI VE BİR UYGULAMA FACILITY LAYOUT DESIGN WITH GENETIC ALGORITHMS AND AN APPLICATION

by Gülfem Tuzkaya and Bahadir GÜlsÜn

ÖZET: Tesis yerleşiminin en uygun bir şekilde tasarlanması, üretim tesislerinin etkin ve verimli ... more ÖZET: Tesis yerleşiminin en uygun bir şekilde tasarlanması, üretim tesislerinin etkin ve verimli bir şekilde işletilebilmesinde önemli bir role sahiptir. Tesis yerleşim tasarımı problemleri, çeşitli akış ilişkilerinin de değerlendirilmesini gerektiren problemlerdir ve literatürde Karesel Atama Problemleri (KAP) olarak çözümlendirilmesi yoluna sıkça gidilmiştir. KAP için tesis yerleşimi tasarımı NP-Zor sınıfına girmektedir ve bu nedenle, bu çalışmada, bu tarz problemlere çözüm getirmesi açısından başarılı bir metot olan Genetik Algoritmalar (GA)'dan faydalanılmıştır. Visual Studio C++ 6.0 ortamında LO (Layout Optimizer -Yerleşim En İyileyici) isimli bir yazılım geliştirilmiştir. Bu yazılımla elde edilen sonuçlar, KAP kütüphanesinden alınan literatür problemleriyle test edilmiştir ve her problem için bilinen en iyi çözüme %99'dan daha fazla bir oranda yaklaşılmıştır. Metodoloji, yapısal elektrik malzemeleri imalat sektöründe bir tedarikçi firma için uygulanmıştır ve taşıma maliyetlerinde % 41'lik bir iyileşme sağlanabileceği ortaya konulmuştur.

An integrated fuzzy multi-criteria decision making methodology for material handling equipment selection problem and an application

Expert Systems With Applications, 2010

Material handling equipment selection problem (MHESP) is an important decision making area for th... more Material handling equipment selection problem (MHESP) is an important decision making area for the companies, since it has a direct effect on manufacturing and service productivity. In this study, an integrated fuzzy multi-criteria decision making methodology for MHESP is proposed. The proposed approach is utilized from fuzzy sets, Analytic Network Process (ANP) and Preference Ranking Organization METHod for Enrichment Evaluations (PROMETHEE) approaches. Evaluation criteria for the MHESP is weighted by fuzzy-ANP (F-ANP) approach, then, alternative material handling equipments are evaluated by fuzzy-PROMETHEE (F-PROMETHEE) approach. The methodology is applied for a manufacturing company to prove its effectiveness. Finally, some sensitivity analyses are conducted to show the results’ sensitiveness to the changes of the weights of the evaluation criteria.

Environmental performance evaluation of suppliers: A hybrid fuzzy multi-criteria decision approach

Increasing environmental problems enforce companies to be more environmental responsible.

A two-phase possibilistic linear programming methodology for multi-objective supplier evaluation and order allocation problems

Information Sciences, 2008

In this study, an integration of the analytic hierarchy process (AHP) and a multi-objective possi... more In this study, an integration of the analytic hierarchy process (AHP) and a multi-objective possibilistic linear programming (MOPLP) technique is developed to account for all tangible, intangible, quantitative, and qualitative factors which are used to evaluate and select suppliers and to define the optimum order quantities assigned to each. A multi-objective linear programming technique is first employed to solve the problem. To model the uncertainties encountered in the integrated supplier evaluation and order allocation methodology, fuzzy theory is adopted. Hence, possibilistic linear programming (PLP) is proposed for solving the problem, as it is believed to be the best approach for absorbing the imprecise nature of the real world. In the supplier evaluation phase, environmental criteria are also considered.

An analytic network process approach for locating undesirable facilities: An example from Istanbul, Turkey

Journal of Environmental Management, 2008

Locating an undesirable facility is a sophisticated problem, for the evaluation procedures involv... more Locating an undesirable facility is a sophisticated problem, for the evaluation procedures involve several objectives and the solution to the problem calls for some compromises to be made between probable conflicting criteria. This paper addresses the problem of undesirable facility location selection using the analytic network process (ANP), a multi-criteria decision-making technique. The ANP technique enables us to consider both qualitative and quantitative criteria as well as the interdependencies and feedbacks. A number of criteria (benefits, opportunities, costs and risks) and their sub-criteria are considered for siting a new facility with which this study has dealt. The questions of what criteria would be considered and what the interdependencies between these criteria and their weights would be were discussed and determined via interviews with some competent authorities of the Istanbul Municipality and of two environmental organizations. Four representative locations were evaluated and the most convenient one was selected. This was followed by the sensitivity analyses of the results.