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

M.H. Fazel Zarandi; Soroosh Saghiri

doi:10.1109/FUZZY.2006.1681889

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

M.H. Fazel Zarandi, Soroosh Saghiri

Research output: Contribution to conference › Paper › peer-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 language	English
DOIs	https://doi.org/10.1109/FUZZY.2006.1681889
Publication status	Published - 19 Jul 2006
Externally published	Yes
Event	2006 IEEE International Conference on Fuzzy Systems - Vancouver, Canada Duration: 16 Jul 2006 → 21 Jul 2006

Conference

Conference	2006 IEEE International Conference on Fuzzy Systems
Period	16/07/06 → 21/07/06

Bibliographical note

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

Organising Body: Institute of Electrical and Electronics Engineers

Keywords

Business and management studies

Access to Document

10.1109/FUZZY.2006.1681889

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

1 Conference contribution

Developing fuzzy expert systems models for supply chain complex problem: a comparison with linear programming
Fazel Zarandi, M. H. & Saghiri, S., 19 Jul 2006, 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.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Cite this

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

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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AU - Saghiri, Soroosh

N1 - Note: Published in the Proceedings, Fuzzy systems 2006, ISBN: 9780780394889, p. 1375-1380 Organising Body: Institute of Electrical and Electronics Engineers

PY - 2006/7/19

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N2 - 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.

AB - 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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M3 - Paper

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ER -

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

Abstract

Conference

Bibliographical note

Keywords

Access to Document

Fingerprint

Research output

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

Cite this