A hybrid intelligent approach for supply chain management system

Kubat C., Yuce B.

Journal of Intelligent Manufacturing, cilt.23, sa.4, ss.1237-1244, 2012 (SCI-Expanded, Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 23 Sayı: 4
  • Basım Tarihi: 2012
  • Doi Numarası: 10.1007/s10845-010-0431-2
  • Dergi Adı: Journal of Intelligent Manufacturing
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1237-1244
  • Anahtar Kelimeler: Fuzzy analytic hierarchy process, Genetic algorithms, Supply chain
  • İstanbul Gelişim Üniversitesi Adresli: Hayır

Özet

The process of supplier selection is one of the key processes in the industry since the suppliers play a key role in regards to the competitive advantage. It is therefore important to identify and select good suppliers. Supplier selection can be considered a decision-making problem with many criteria, which include both qualitative and quantitative elements, such as; purchase cost, quality level, supplier risk etc. The best process to be designed for selecting the suppliers may require a compromise in terms of these elements. A general framework, which combines Analytic Hierarchy Process (AHP), Fuzzy AHP and Genetic Algorithm (GA) in order to determine the best set of suppliers, is proposed in this study. © 2010 Springer Science+Business Media, LLC.