Application of fuzzy AHP for supplier development prioritization

Supplier development (SD) has been identified as a critical strategy for manufacturing firms in managing and improving the capabilities of suppliers. However, implementing this program necessitates an investment of time, commitment, and finances. The selection of the most beneficial practices to be...

Full description

Saved in:
Bibliographic Details
Main Authors: Wan Mahmood, Wan Hasrulnizzam, Tukimin, Rahayu, Mohd Nordin, Maimunah
Format: Article
Language:English
Published: Institute of Advanced Science Extension (IASE) 2022
Online Access:http://eprints.utem.edu.my/id/eprint/26257/2/0107308022023.PDF
http://eprints.utem.edu.my/id/eprint/26257/
http://science-gate.com/IJAAS/Articles/2022/2022-9-12/1021833ijaas202212016.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utem.eprints.26257
record_format eprints
spelling my.utem.eprints.262572023-02-23T15:42:56Z http://eprints.utem.edu.my/id/eprint/26257/ Application of fuzzy AHP for supplier development prioritization Wan Mahmood, Wan Hasrulnizzam Tukimin, Rahayu Mohd Nordin, Maimunah Supplier development (SD) has been identified as a critical strategy for manufacturing firms in managing and improving the capabilities of suppliers. However, implementing this program necessitates an investment of time, commitment, and finances. The selection of the most beneficial practices to be implemented in order for this program to succeed can ensure a better program output. Therefore, it is crucial for the manufacturing firm to identify which practices should be prioritized and implemented for their SD program. Although SD has been widely researched, the method to evaluate SD practices, particularly in the Malaysian manufacturing industry is virtually non-existent. This paper aims to fill the gap by proposing a method to evaluate the SD practices using the Fuzzy Analytic Hierarchy Process (Fuzzy AHP). Fuzzy AHP is used to rank the practices involved in the program by capturing the evaluation from experts with strong industrial backgrounds in Malaysian Industry. There are five criteria for SD practices: Supplier certification (SC), green capability (GC), investment and resource transfer (IRT), feedback and evaluation (FE), and knowledge transfer (KT), with 30 alternatives identified. The findings of the Fuzzy AHP method, suggest that KT is given the most weight. Thus, the alternatives associated with KT must be prioritized to achieve the objectives of the SD program. The results obtained can be referred to by manufacturing practitioners as guidelines for seeking the opportunity to implement an SD program in enhancing the capabilities of suppliers. Institute of Advanced Science Extension (IASE) 2022 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/26257/2/0107308022023.PDF Wan Mahmood, Wan Hasrulnizzam and Tukimin, Rahayu and Mohd Nordin, Maimunah (2022) Application of fuzzy AHP for supplier development prioritization. International Journal of Advanced and Applied Sciences, 9 (12). pp. 125-134. ISSN 2313-626X http://science-gate.com/IJAAS/Articles/2022/2022-9-12/1021833ijaas202212016.pdf 10.21833/ijaas.2022.12.016
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description Supplier development (SD) has been identified as a critical strategy for manufacturing firms in managing and improving the capabilities of suppliers. However, implementing this program necessitates an investment of time, commitment, and finances. The selection of the most beneficial practices to be implemented in order for this program to succeed can ensure a better program output. Therefore, it is crucial for the manufacturing firm to identify which practices should be prioritized and implemented for their SD program. Although SD has been widely researched, the method to evaluate SD practices, particularly in the Malaysian manufacturing industry is virtually non-existent. This paper aims to fill the gap by proposing a method to evaluate the SD practices using the Fuzzy Analytic Hierarchy Process (Fuzzy AHP). Fuzzy AHP is used to rank the practices involved in the program by capturing the evaluation from experts with strong industrial backgrounds in Malaysian Industry. There are five criteria for SD practices: Supplier certification (SC), green capability (GC), investment and resource transfer (IRT), feedback and evaluation (FE), and knowledge transfer (KT), with 30 alternatives identified. The findings of the Fuzzy AHP method, suggest that KT is given the most weight. Thus, the alternatives associated with KT must be prioritized to achieve the objectives of the SD program. The results obtained can be referred to by manufacturing practitioners as guidelines for seeking the opportunity to implement an SD program in enhancing the capabilities of suppliers.
format Article
author Wan Mahmood, Wan Hasrulnizzam
Tukimin, Rahayu
Mohd Nordin, Maimunah
spellingShingle Wan Mahmood, Wan Hasrulnizzam
Tukimin, Rahayu
Mohd Nordin, Maimunah
Application of fuzzy AHP for supplier development prioritization
author_facet Wan Mahmood, Wan Hasrulnizzam
Tukimin, Rahayu
Mohd Nordin, Maimunah
author_sort Wan Mahmood, Wan Hasrulnizzam
title Application of fuzzy AHP for supplier development prioritization
title_short Application of fuzzy AHP for supplier development prioritization
title_full Application of fuzzy AHP for supplier development prioritization
title_fullStr Application of fuzzy AHP for supplier development prioritization
title_full_unstemmed Application of fuzzy AHP for supplier development prioritization
title_sort application of fuzzy ahp for supplier development prioritization
publisher Institute of Advanced Science Extension (IASE)
publishDate 2022
url http://eprints.utem.edu.my/id/eprint/26257/2/0107308022023.PDF
http://eprints.utem.edu.my/id/eprint/26257/
http://science-gate.com/IJAAS/Articles/2022/2022-9-12/1021833ijaas202212016.pdf
_version_ 1758953851778498560
score 13.211869