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, Çin, 15 - 17 Aralık 2011, cilt.124, ss.429-432 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 124
  • Basıldığı Şehir: Shanghai
  • Basıldığı Ülke: Çin
  • Sayfa Sayıları: ss.429-432
  • Anahtar Kelimeler: Supply Chain, Risk Management, Fuzzy Sets, Fuzzy Inference Systems, SIMULATION, MODEL
  • Erciyes Üniversitesi Adresli: Evet

Özet

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).