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: Ahmad, Nazihah, Mat Kasim, Maznah, KRS, Shanmugam
Format: Article
Language:English
Published: ExcelingTech Publishers 2019
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/25709/1/IJSCM%208%201%202019%20951%20955.pdf
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author Ahmad, Nazihah
Mat Kasim, Maznah
KRS, Shanmugam
author_facet Ahmad, Nazihah
Mat Kasim, Maznah
KRS, Shanmugam
author_sort Ahmad, Nazihah
collection UUM
description 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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spelling uum-257092019-03-07T06:18:07Z https://repo.uum.edu.my/id/eprint/25709/ Comparative analysis of crisp and fuzzy multi- criteria decision making methods for supplier selection in an automotive manufacturing industry Ahmad, Nazihah Mat Kasim, Maznah KRS, Shanmugam QA75 Electronic computers. Computer science 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. ExcelingTech Publishers 2019 Article PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/25709/1/IJSCM%208%201%202019%20951%20955.pdf 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 http://ojs.excelingtech.co.uk/index.php/IJSCM/article/view/2881
spellingShingle QA75 Electronic computers. Computer science
Ahmad, Nazihah
Mat Kasim, Maznah
KRS, Shanmugam
Comparative analysis of crisp and fuzzy multi- criteria decision making methods for supplier selection in an automotive manufacturing industry
title Comparative analysis of crisp and fuzzy multi- criteria decision making methods for supplier selection in an automotive manufacturing industry
title_full Comparative analysis of crisp and fuzzy multi- criteria decision making methods for supplier selection in an automotive manufacturing industry
title_fullStr Comparative analysis of crisp and fuzzy multi- criteria decision making methods for supplier selection in an automotive manufacturing industry
title_full_unstemmed Comparative analysis of crisp and fuzzy multi- criteria decision making methods for supplier selection in an automotive manufacturing industry
title_short Comparative analysis of crisp and fuzzy multi- criteria decision making methods for supplier selection in an automotive manufacturing industry
title_sort comparative analysis of crisp and fuzzy multi criteria decision making methods for supplier selection in an automotive manufacturing industry
topic QA75 Electronic computers. Computer science
url https://repo.uum.edu.my/id/eprint/25709/1/IJSCM%208%201%202019%20951%20955.pdf
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