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

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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.

Item Type: Conference or Workshop Item (Paper)
Event Title: 2006 IEEE International Conference on Fuzzy Systems
Organising Body: Institute of Electrical and Electronics Engineers
Additional Information: Published in the Proceedings, Fuzzy systems 2006, ISBN: 9780780394889, p. 1375-1380
Research Area: Business and management studies
Faculty, School or Research Centre: Faculty of Business and Law
Faculty of Business and Law > Kingston Business School (Informatics and Operations Management) (until July 2013)
Depositing User: Soroosh Saghiri
Date Deposited: 26 Sep 2011 09:35
Last Modified: 23 Jan 2012 08:55
URI: http://eprints.kingston.ac.uk/id/eprint/18113

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