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Comparative analysis of crisp and fuzzy multi- criteria decision making methods for supplier selection in an automotive manufacturing industry


Ahmad, Nazihah and Mat Kasim, Maznah and KRS, Shanmugam (2019) Comparative analysis of crisp and fuzzy multi- criteria decision making methods for supplier selection in an automotive manufacturing industry. International Journal of Supply Chain Management (IJSCM), 8 (1). pp. 951-955. ISSN 2050-7399

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Abstract

Selecting a supplier is a crucial task in today’s competitive business environment. A systematic, trusted and supportive method of evaluating supplier is necessary to select the right supplier that meets customers’ expectation in ensuring an efficient continuous supply chain. Multi-Criteria Decision Making (MCDM) methods are able to handle this complex problem when there are many suppliers with multiple conflict criteria. Thus, the aim of this paper is to conduct a comparative analysis of the use of crisp and fuzzy MCDM methods for supplier selection in an automotive manufacturing industry. Four methods; AHP-AHP, AHP-VIKOR, FAHP-FAHP, FAHP-VIKOR are used to calculate the relative importance of five criteria and sixteen sub-criteria and ranking eighteen suppliers. Results show that different methods provide a quite similar ranking of suppliers.

Item Type: Article
Uncontrolled Keywords: Analytic Hierarchical Process; Fuzzy Analytic Hierarchical Process; Supplier Selection; VIKOR
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: School of Quantitative Sciences
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 07 Mar 2019 06:18
Last Modified: 07 Mar 2019 06:18
URI: http://repo.uum.edu.my/id/eprint/25709

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