An intelligent approach to supplier evaluation in automotive sector
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Date
2016
Authors
Samanlıoğlu, Funda
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
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Abstract
During the process of supplier evaluation selecting the best desirable supplier is one of the most critical problems of companies since improperly selected suppliers may cause losing time cost and market share of a company. For this multiple-criteria decision making selection problem in this paper a fuzzy extension of analytic network process (ANP) which uses uncertain human preferences as input information in the decision-making process is applied since conventional methods such as analytic hierarchy process cannot accommodate the variety of interactions dependencies and feedback between higher and lower level elements. The resulting fuzzy ANP enhances the potential of the conventional ANP for dealing with imprecise and uncertain human comparison judgments. In short in this paper an intelligent approach to supplier selection problem through fuzzy ANP is proposed by taking into consideration quantitative and qualitative elements to evaluate supplier alternatives and a case study in automotive sector is presented.
Description
Keywords
Supplier selection, Fuzzy logic, Multiple-criteria decision making, Analytic network process
Turkish CoHE Thesis Center URL
Fields of Science
Citation
16
WoS Q
Q1
Scopus Q
Q1
Source
Volume
27
Issue
4
Start Page
889
End Page
903