A taxonomy and review on supplier selection methods under uncertainty

Assessment of potentially competent suppliers and selection of the right one(s) is a vital component of supply chain management which has received wide attention in recent years. An extensive range of decision making methods have been suggested to handle the supplier selection problem by a large num...

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Main Authors: Amindoust, A., Ahmed, S., Saghafinia, A.
Format: Article
Published: American Association for the Advancement of Science 2012
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Online Access:http://eprints.um.edu.my/7607/
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spelling my.um.eprints.76072013-08-01T01:53:37Z http://eprints.um.edu.my/7607/ A taxonomy and review on supplier selection methods under uncertainty Amindoust, A. Ahmed, S. Saghafinia, A. TS Manufactures Assessment of potentially competent suppliers and selection of the right one(s) is a vital component of supply chain management which has received wide attention in recent years. An extensive range of decision making methods have been suggested to handle the supplier selection problem by a large number of authors in this area. The supplier selection problem is often faced by ambiguity and vagueness in practice and very often decision makers express their preferences in linguistic terms instead of numerical values. So, this paper intends to review the literatures on multi-criteria decision making methods in uncertain environment. Thirty-eight international journal articles published between 2008 and 2011 have been surveyed for this purpose. The articles are analysed to summarize the existing methods and the most popular method is identified and presented in this paper. Finally, suggestions for future researches are proposed for academics and decision makers American Association for the Advancement of Science 2012 Article PeerReviewed Amindoust, A. and Ahmed, S. and Saghafinia, A. (2012) A taxonomy and review on supplier selection methods under uncertainty. Science, 7 (1). ISSN 1095-9203
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic TS Manufactures
spellingShingle TS Manufactures
Amindoust, A.
Ahmed, S.
Saghafinia, A.
A taxonomy and review on supplier selection methods under uncertainty
description Assessment of potentially competent suppliers and selection of the right one(s) is a vital component of supply chain management which has received wide attention in recent years. An extensive range of decision making methods have been suggested to handle the supplier selection problem by a large number of authors in this area. The supplier selection problem is often faced by ambiguity and vagueness in practice and very often decision makers express their preferences in linguistic terms instead of numerical values. So, this paper intends to review the literatures on multi-criteria decision making methods in uncertain environment. Thirty-eight international journal articles published between 2008 and 2011 have been surveyed for this purpose. The articles are analysed to summarize the existing methods and the most popular method is identified and presented in this paper. Finally, suggestions for future researches are proposed for academics and decision makers
format Article
author Amindoust, A.
Ahmed, S.
Saghafinia, A.
author_facet Amindoust, A.
Ahmed, S.
Saghafinia, A.
author_sort Amindoust, A.
title A taxonomy and review on supplier selection methods under uncertainty
title_short A taxonomy and review on supplier selection methods under uncertainty
title_full A taxonomy and review on supplier selection methods under uncertainty
title_fullStr A taxonomy and review on supplier selection methods under uncertainty
title_full_unstemmed A taxonomy and review on supplier selection methods under uncertainty
title_sort taxonomy and review on supplier selection methods under uncertainty
publisher American Association for the Advancement of Science
publishDate 2012
url http://eprints.um.edu.my/7607/
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score 13.149126