A Decentralized Model for Allied Closed-Loop Supply Chains: Comparative Analysis of Interactive Fuzzy Programming Approaches

The supply chain network design problem addresses various factors that maximize customers’ demand and minimizes the sum of strategic, tactical, and operational costs. Companies with common activities in their supply chains have started to cooperate with each other to achieve better service levels. B...

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Veröffentlicht in:	International journal of fuzzy systems Jg. 19; H. 2; S. 367 - 382
Hauptverfasser:	Çalık, Ahmet, Paksoy, Turan, Yıldızbaşı, Abdullah, Yapıcı Pehlivan, Nimet
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2017 Springer Nature B.V
Schlagworte:	Alliances Analytic hierarchy process Artificial Intelligence Closed loops Computational Intelligence Cost control Customers Decision making Engineering Impact analysis Integer programming Inventory Linear programming Management Science Mixed integer Network design Objectives Operations Research Purchasing Suppliers Supply chains Multi-level programming Allied supply chains Decentralized closed-loop supply chain Interactive fuzzy programming
ISSN:	1562-2479, 2199-3211
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Abstract	The supply chain network design problem addresses various factors that maximize customers’ demand and minimizes the sum of strategic, tactical, and operational costs. Companies with common activities in their supply chains have started to cooperate with each other to achieve better service levels. Based on this initiative, a multi-level mixed-integer linear programming model is developed that includes two allied supply chains with different decision makers (DM) at two different decision-making levels. The primary aim of this study is to design an allied closed-loop supply chain (CLSC) network that uses some of the same facilities. The secondary aim of this study is to examine this allied CLSC model simultaneously and analyse the impact of the DMs’ objectives based on satisfaction degrees. Various interactive fuzzy programming (IFP) approaches were utilized to examine the presented multi-level CLSC model. A novel IFP approach which is based on the fuzzy analytic hierarchy process (AHP) is proposed. The effectiveness of the proposed IFP approach on the CLSC model is investigated with hypothetical data. The computational results show that the proposed approach obtains higher satisfaction degrees for upper-level DMs than the other approaches.
AbstractList	The supply chain network design problem addresses various factors that maximize customers’ demand and minimizes the sum of strategic, tactical, and operational costs. Companies with common activities in their supply chains have started to cooperate with each other to achieve better service levels. Based on this initiative, a multi-level mixed-integer linear programming model is developed that includes two allied supply chains with different decision makers (DM) at two different decision-making levels. The primary aim of this study is to design an allied closed-loop supply chain (CLSC) network that uses some of the same facilities. The secondary aim of this study is to examine this allied CLSC model simultaneously and analyse the impact of the DMs’ objectives based on satisfaction degrees. Various interactive fuzzy programming (IFP) approaches were utilized to examine the presented multi-level CLSC model. A novel IFP approach which is based on the fuzzy analytic hierarchy process (AHP) is proposed. The effectiveness of the proposed IFP approach on the CLSC model is investigated with hypothetical data. The computational results show that the proposed approach obtains higher satisfaction degrees for upper-level DMs than the other approaches.
Author	Yıldızbaşı, Abdullah Paksoy, Turan Yapıcı Pehlivan, Nimet Çalık, Ahmet
Author_xml	– sequence: 1 givenname: Ahmet surname: Çalık fullname: Çalık, Ahmet email: ahmetcalik@selcuk.edu.tr organization: Department of Statistics, Selçuk University – sequence: 2 givenname: Turan surname: Paksoy fullname: Paksoy, Turan organization: Department of Industrial Engineering, Selçuk University – sequence: 3 givenname: Abdullah surname: Yıldızbaşı fullname: Yıldızbaşı, Abdullah organization: Department of Industrial Engineering, Yıldırım Beyazıt University – sequence: 4 givenname: Nimet surname: Yapıcı Pehlivan fullname: Yapıcı Pehlivan, Nimet organization: Department of Statistics, Selçuk University
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SubjectTerms	Alliances Analytic hierarchy process Artificial Intelligence Closed loops Computational Intelligence Cost control Customers Decision making Engineering Impact analysis Integer programming Inventory Linear programming Management Science Mixed integer Network design Objectives Operations Research Purchasing Suppliers Supply chains
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Title	A Decentralized Model for Allied Closed-Loop Supply Chains: Comparative Analysis of Interactive Fuzzy Programming Approaches
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