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

Fazel Zarandi, M.H. and Saghiri, Soroosh (2006) Developing fuzzy expert systems models for supply chain complex problem: a comparison with linear programming. In: 2006 IEEE International Conference on Fuzzy Systems; 16 - 21 Jul 2006, Vancouver, Canada. ISBN 9780780394889

Official URL: http://dx.doi.org/10.1109/FUZZY.2006.1681889

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.

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