An integrated fuzzy TOPSIS and MCGP approach to supplier selection in supply chain management

Chin Nung Liao, Hsing Pei Kao

研究成果: 雜誌貢獻期刊論文同行評審

250 引文 斯高帕斯(Scopus)

摘要

Supplier selection is an important issue in supply chain management. In recent years, determining the best supplier in the supply chain has become a key strategic consideration. However, these decisions usually involve several objectives or criteria, and it is often necessary to compromise among possibly conflicting factors. Thus, the multiple criteria decision making (MCDM) becomes a useful approach to solve this kind of problem. Considering both tangible and intangible criteria, this study proposes integrated fuzzy techniques for order preference by similarity to ideal solution (TOPSIS) and multi-choice goal programming (MCGP) approach to solve the supplier selection problem. The advantage of this method is that it allows decision makers to set multiple aspiration levels for supplier selection problems. The integrated model is illustrated by an example in a watch firm.

原文???core.languages.en_GB???
頁(從 - 到)10803-10811
頁數9
期刊Expert Systems with Applications
38
發行號9
DOIs
出版狀態已出版 - 9月 2011

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