Developing fuzzy expert systems models for supply chain complex problem: a comparison with linear programming

M.H. Fazel Zarandi, Soroosh Saghiri

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Supply chain management (SCM) system endeavors to achieve global optimum solution(s) in supply network problems. SCM systems are mostly large-scale and are recognized as complex systems. This paper concentrates on supply chain system modeling with fuzzy expert systems (FES). The FES is developed based on the knowledge and information of the experts in an automotive supply chain. Then the results are compared with those of the fuzzy linear programming models in this area. The results of the FES show its superiority over linear programming models especially in CPU times and satisfaction of decision makers of results and their understandability.
Original languageEnglish
Title of host publicationPublished in the Proceedings, Fuzzy systems 2006, ISBN: 9780780394889, p. 1375-1380 Organising Body: Institute of Electrical and Electronics Engineers Organising Body: Institute of Electrical and Electronics Engineers
DOIs
Publication statusPublished - 19 Jul 2006
Externally publishedYes

Bibliographical note

Note: Published in the Proceedings, Fuzzy systems 2006, ISBN: 9780780394889, p. 1375-1380

Organising Body: Institute of Electrical and Electronics Engineers

Organising Body: Institute of Electrical and Electronics Engineers

Keywords

  • Business and management studies

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