A Fuzzy Inference System for Supply Chain Risk Management

Behret H., Öztayşi B., Kahraman C.

6th International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2011), Shanghai, China, 15 - 17 December 2011, vol.124, pp.429-432 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 124
  • Doi Number: 10.1007/978-3-642-25658-5_52
  • City: Shanghai
  • Country: China
  • Page Numbers: pp.429-432
  • Istanbul University Affiliated: No

Abstract

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).