A hybrid intelligent approach for supply chain management system

Kubat C., Yuce B.

Journal of Intelligent Manufacturing, vol.23, no.4, pp.1237-1244, 2012 (SCI-Expanded, Scopus) identifier

  • Publication Type: Article / Article
  • Volume: 23 Issue: 4
  • Publication Date: 2012
  • Doi Number: 10.1007/s10845-010-0431-2
  • Journal Name: Journal of Intelligent Manufacturing
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.1237-1244
  • Keywords: Fuzzy analytic hierarchy process, Genetic algorithms, Supply chain
  • Istanbul Gelisim University Affiliated: No

Abstract

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.