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 language | English |
|---|---|
| Title of host publication | 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 |
| DOIs | |
| Publication status | Published - 19 Jul 2006 |
| Externally published | Yes |
Bibliographical note
Note: Published in the Proceedings, Fuzzy systems 2006, ISBN: 9780780394889, p. 1375-1380Organising Body: Institute of Electrical and Electronics Engineers
Organising Body: Institute of Electrical and Electronics Engineers
Keywords
- Business and management studies
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Dive into the research topics of 'Developing fuzzy expert systems models for supply chain complex problem: a comparison with linear programming'. Together they form a unique fingerprint.Research output
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Developing fuzzy expert systems models for supply chain complex problem: a comparison with linear programming
Fazel Zarandi, M. H. & Saghiri, S., 19 Jul 2006.Research output: Contribution to conference › Paper › peer-review
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