Supplier selection in a multi-item/multi-supplier environment

Davari, Soheil, Fazel Zarandi, M. H. and Turksen, I. B. 2008. Supplier selection in a multi-item/multi-supplier environment. Presented at: Annual Meeting of the North American Fuzzy Information Processing Society, 2008, New York City, NY, 19-22 May 2008. NAFIPS 2008 Annual Meeting of the North American Fuzzy Information Processing Society. IEEE, pp. 1-5. 10.1109/NAFIPS.2008.4531232

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Abstract

Suppliers play a pivotal role in success of any organization. Supplier Selection is a complicated problem due to the vagueness of data and also its multi-criteria nature and the real world still observes a noticeable gap between its theory and practice. The aim of this paper is to present a fuzzy decision-making approach to address this problem in a way that facilitates the process of decision making while not deteriorating its comprehensiveness. The main contributions of the paper are twofold: first, a model is developed to consider multiple suppliers and multiple items. Moreover, a piecewise linear membership function (PLMF) is proposed for a specific criterion and is shown how it leads to better solutions. The model functions well in cases where decision maker is sensitive about a specific criterion, in other words, when there are some unequal weights for objectives of the problem. Although asymmetric methods proposed by Zimmerman are a way to tackle the above-mentioned situations; it is demonstrated that how the proposed model brings about both efficiency and simplicity for decision maker which is originated from the utilization of PLMF.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Mathematics
Subjects:	Q Science > QA Mathematics
Publisher:	IEEE
ISBN:	9781424423514
Last Modified:	20 Jul 2017 04:03
URI:	https://orca.cardiff.ac.uk/id/eprint/68542

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