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Published in:
2012 | OriginalPaper | Chapter
A Fuzzy Inference System for Supply Chain Risk Management
Authors : Hülya Behret, Başar Öztayşi, Cengiz Kahraman
Published in: Practical Applications of Intelligent Systems
Publisher: Springer Berlin Heidelberg
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Risk management is the identification, assessment, and prioritization of risks followed by coordinated and economical application of resources to minimize, monitor, and control the probability and/or impact of unfortunate events. In the last decade risk management has become a vital part of supply chain management. The risk sources of supply chain are identified in five areas namely: transport/distribution, manufacturing, order cycle, warehousing, and procurement. The aim of the study is to build a supply chain risk measurement system using Fuzzy Inference Systems (FIS).