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An application of fuzzy Topsis method for supplier selection

Authors: Mehmet Sevkli; Selim Zaim; Ali Turkyilmaz; Metin Satir;

An application of fuzzy Topsis method for supplier selection

Abstract

Supplier selection is vital to the success of a manufacturing firm. Supplier selection is a multi criteria decision making (MCDM) problem and has a strategic importance for most companies. As the conventional methods for supplier selection are inadequate for dealing with the imprecise or vague nature of linguistic assessment, a new method called fuzzy technique for order preference by similarity to ideal solution (TOPSIS) is proposed. The aim of this study is to compare and contrast crisp and fuzzy TOPSIS methods for the supplier selection. The proposed methods are applied to a manufacturing company in Turkey. After determining the criteria that affect the supplier selection decisions, the results for both crisp and fuzzy TOPSIS methods are presented.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Top 10%
Top 10%
Average
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