Title :
Developing Fuzzy Expert Systems Models for Supply Chain Complex Problem: A Comparison with Linear Programming
Author :
Zarandi, M. H Fazel ; Saghiri, Soroosh
Author_Institution :
Amir Kabir Univ. of Technol., Tehran
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.
Keywords :
decision making; expert systems; fuzzy set theory; fuzzy systems; large-scale systems; linear programming; supply chain management; automotive supply chain management system; complex system; decision maker; fuzzy expert system model; fuzzy linear programming; large-scale system; supply chain complex problem; Assembly systems; Hybrid intelligent systems; Information management; Linear programming; Logistics; Manufacturing; Materials requirements planning; Production planning; Supply chain management; Supply chains;
Conference_Titel :
Fuzzy Systems, 2006 IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9488-7
DOI :
10.1109/FUZZY.2006.1681889
