文章基本信息

标题：Supplier Selection with Shannon Entropy and Fuzzy TOPSIS in the Context of Supply Chain Risk Management
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作者：Reza Kiani Mavi ; Reza Kiani Mavi ; Mark Goh 等
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2016
卷号：235
页码：216-225
DOI：10.1016/j.sbspro.2016.11.017
语种：English
出版社：Elsevier
摘要：Abstract Supplier selection is the process of finding the right suppliers, at the right price, at the right time, in the right quantities, and with the right quality. The aim of this paper, is supplier selection in the context of supply chain risk management. Thus nine criteria of quality, on time delivery and performance history and six risks in the supply chain including supply risk, demand risk, manufacturing risk, logistics risk, information risk and environmental risk considered for evaluating suppliers. Shannon entropy is used for weighing criteria and fuzzy TOPSIS is applied for ranking suppliers. Findings show that, in the spare parts supplier selection problem, demand risk is the most important factor.
关键词：Supply chain management;Supply chain risk;Fuzzy TOPSIS;Shannon entropy