A Novel Interactive Fuzzy Programming Approach for Optimization of Allied Closed-Loop Supply Chains
In recent years, the relationship between companies and suppliers has changed with the continuous rise in environmental awareness and customer expectations. In order to fulfill customers’ needs, the actors in a Supply Chain (SC) network sometimes compete and sometimes cooperate with each other. In S...
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| Veröffentlicht in: | International journal of computational intelligence systems Jg. 11; H. 1; S. 672 - 691 |
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| Sprache: | Englisch |
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01.01.2018
Springer Nature B.V Springer |
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| Abstract | In recent years, the relationship between companies and suppliers has changed with the continuous rise in environmental awareness and customer expectations. In order to fulfill customers’ needs, the actors in a Supply Chain (SC) network sometimes compete and sometimes cooperate with each other. In SC management, both competitive and collaborative strategies have become important and have required different points of view. In a collaborative environment, companies should strive for common targets with mutual relationship. After managers decided to share their resources, some positive effects have appeared on the companies and suppliers’ performance such as profitability, flexibility and efficiency. Consequently, many companies are willing to cooperate with each other in a SC network because of these reasons. On the other hand, Closed-Loop Supply Chain (CLSC) management has been attracting a growing interest because of increased environmental issues, government regulations and customer pressures. Based on this initiative, our paper presents a novel allied CLSC network design model with two different SCs including common suppliers and common collection centers. First, a decentralized multi-level Mixed-Integer Linear Programming (MILP) model that consists of two different levels of Decision Makers (DMs) is developed. The plants of common SCs comprise the upper-level DMs, common suppliers, common collection centers, and the logistics firm comprises the lower-level DMs. A novel Interactive Fuzzy Programming (IFP) approach using Fuzzy Analytic Hierarchy Process (AHP) is proposed to obtain a preferred compromise solution for the developed model. Through use of Fuzzy AHP in the proposed IFP approach, the DMs can identify the importance of the lower-level DMs. In order to validate the developed model and the proposed IFP approach, a numerical example is implemented. According to the obtained results, our proposed IFP method outperforms Sakawa and Nishizaki’s
1
and Çalık et al.’s
2
approach with respect to the satisfaction degrees of upper-level DMs for the developed CLSC model. |
|---|---|
| AbstractList | In recent years, the relationship between companies and suppliers has changed with the continuous rise in environmental awareness and customer expectations. In order to fulfill customers’ needs, the actors in a Supply Chain (SC) network sometimes compete and sometimes cooperate with each other. In SC management, both competitive and collaborative strategies have become important and have required different points of view. In a collaborative environment, companies should strive for common targets with mutual relationship. After managers decided to share their resources, some positive effects have appeared on the companies and suppliers’ performance such as profitability, flexibility and efficiency. Consequently, many companies are willing to cooperate with each other in a SC network because of these reasons. On the other hand, Closed-Loop Supply Chain (CLSC) management has been attracting a growing interest because of increased environmental issues, government regulations and customer pressures. Based on this initiative, our paper presents a novel allied CLSC network design model with two different SCs including common suppliers and common collection centers. First, a decentralized multi-level Mixed-Integer Linear Programming (MILP) model that consists of two different levels of Decision Makers (DMs) is developed. The plants of common SCs comprise the upper-level DMs, common suppliers, common collection centers, and the logistics firm comprises the lower-level DMs. A novel Interactive Fuzzy Programming (IFP) approach using Fuzzy Analytic Hierarchy Process (AHP) is proposed to obtain a preferred compromise solution for the developed model. Through use of Fuzzy AHP in the proposed IFP approach, the DMs can identify the importance of the lower-level DMs. In order to validate the developed model and the proposed IFP approach, a numerical example is implemented. According to the obtained results, our proposed IFP method outperforms Sakawa and Nishizaki’s
1
and Çalık et al.’s
2
approach with respect to the satisfaction degrees of upper-level DMs for the developed CLSC model. In recent years, the relationship between companies and suppliers has changed with the continuous rise in environmental awareness and customer expectations. In order to fulfill customers’ needs, the actors in a Supply Chain (SC) network sometimes compete and sometimes cooperate with each other. In SC management, both competitive and collaborative strategies have become important and have required different points of view. In a collaborative environment, companies should strive for common targets with mutual relationship. After managers decided to share their resources, some positive effects have appeared on the companies and suppliers’ performance such as profitability, flexibility and efficiency. Consequently, many companies are willing to cooperate with each other in a SC network because of these reasons. On the other hand, Closed-Loop Supply Chain (CLSC) management has been attracting a growing interest because of increased environmental issues, government regulations and customer pressures. Based on this initiative, our paper presents a novel allied CLSC network design model with two different SCs including common suppliers and common collection centers. First, a decentralized multi-level Mixed-Integer Linear Programming (MILP) model that consists of two different levels of Decision Makers (DMs) is developed. The plants of common SCs comprise the upper-level DMs, common suppliers, common collection centers, and the logistics firm comprises the lower-level DMs. A novel Interactive Fuzzy Programming (IFP) approach using Fuzzy Analytic Hierarchy Process (AHP) is proposed to obtain a preferred compromise solution for the developed model. Through use of Fuzzy AHP in the proposed IFP approach, the DMs can identify the importance of the lower-level DMs. In order to validate the developed model and the proposed IFP approach, a numerical example is implemented. According to the obtained results, our proposed IFP method outperforms Sakawa and Nishizaki’s1 and Çalık et al.’s2 approach with respect to the satisfaction degrees of upper-level DMs for the developed CLSC model. |
| Author | Paksoy, Turan Weber, Gerhard Wilhelm Pehlivan, Nimet Yapıcı Çalık, Ahmet |
| Author_xml | – sequence: 1 givenname: Ahmet surname: Çalık fullname: Çalık, Ahmet email: ahmetcalik51@gmail.com organization: Logistics Management, KTO Karatay University – sequence: 2 givenname: Nimet Yapıcı surname: Pehlivan fullname: Pehlivan, Nimet Yapıcı organization: Statistics, Selçuk University – sequence: 3 givenname: Turan surname: Paksoy fullname: Paksoy, Turan organization: Industrial Engineering, Selçuk University – sequence: 4 givenname: Gerhard Wilhelm surname: Weber fullname: Weber, Gerhard Wilhelm organization: Department of Applied Mathematics, Middle East Technical University, Chair of Marketing and Economic Engineering, Faculty of Engineering Management, Poznan University of Technology |
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| Copyright | the Authors. Published by Atlantis Press 2018 2018. This work is licensed under http://creativecommons.org/licences/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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| DOI | 10.2991/ijcis.11.1.52 |
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| Keywords | Closed-Loop Supply Chain Optimization Preferred Compromise Solution Common Sources Interactive Fuzzy Programming Multi-Level Programming |
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| SubjectTerms | Analytic hierarchy process Business competition Closed-Loop Supply Chain Optimization Collaboration Collection Common Sources Customers Government regulations Integer programming Interactive Fuzzy Programming Linear programming Logistics Mixed integer Multi-Level Programming Optimization Preferred Compromise Solution Profitability Research Article Suppliers Supply chains |
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