An integrated approach of Fuzzy AHP and Fuzzy TOPSIS in modeling supply chain coordination

In improving overall supply chain performance, coordination of supply chain of trading partner plays a crucial role. For allocating the components or services to trading partner, it would be significant to analyze level of coordination in their supply chain. This paper presents how Analytic Hierarch...

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Published inProduction & manufacturing research Vol. 2; no. 1; pp. 415 - 437
Main Authors Shukla, Rajendra Kumar, Garg, Dixit, Agarwal, Ashish
Format Journal Article
LanguageEnglish
Published Taylor & Francis 01.01.2014
Subjects
Fuzzy AHP
Fuzzy logic
Fuzzy TOPSIS
partner prioritization
supply chain coordination
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Abstract In improving overall supply chain performance, coordination of supply chain of trading partner plays a crucial role. For allocating the components or services to trading partner, it would be significant to analyze level of coordination in their supply chain. This paper presents how Analytic Hierarchy Process and Technique for Order Preference by Similarity to Ideal Solution in Fuzzy environment can be integrated for a more consistent evaluation and prioritization of trading partner based on four coordination criteria namely joint decision-making, information sharing, use of information technology tools, and resource sharing determined by factor analysis of survey data and expert opinion. A case study of Indian automotive parts manufacturing company is described to illustrate the application of the proposed method. Fuzzy AHP is used to calculate relative weights of each coordination criterion and then partners are ranked based on closeness coefficient, calculated for each partner using Fuzzy TOPSIS.
AbstractList In improving overall supply chain performance, coordination of supply chain of trading partner plays a crucial role. For allocating the components or services to trading partner, it would be significant to analyze level of coordination in their supply chain. This paper presents how Analytic Hierarchy Process and Technique for Order Preference by Similarity to Ideal Solution in Fuzzy environment can be integrated for a more consistent evaluation and prioritization of trading partner based on four coordination criteria namely joint decision-making, information sharing, use of information technology tools, and resource sharing determined by factor analysis of survey data and expert opinion. A case study of Indian automotive parts manufacturing company is described to illustrate the application of the proposed method. Fuzzy AHP is used to calculate relative weights of each coordination criterion and then partners are ranked based on closeness coefficient, calculated for each partner using Fuzzy TOPSIS.
Author Shukla, Rajendra Kumar
Agarwal, Ashish
Garg, Dixit
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Snippet In improving overall supply chain performance, coordination of supply chain of trading partner plays a crucial role. For allocating the components or services...
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SubjectTerms Fuzzy AHP
Fuzzy logic
Fuzzy TOPSIS
partner prioritization
supply chain coordination
Title An integrated approach of Fuzzy AHP and Fuzzy TOPSIS in modeling supply chain coordination
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