Comparative analysis of crisp and fuzzy multi- criteria decision making methods for supplier selection in an automotive manufacturing industry
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...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
ExcelingTech Publishers
2019
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| Subjects: | |
| Online Access: | http://repo.uum.edu.my/25709/1/IJSCM%208%201%202019%20951%20955.pdf http://repo.uum.edu.my/25709/ http://ojs.excelingtech.co.uk/index.php/IJSCM/article/view/2881 |
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| Summary: | 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. |
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