Artikel
Multi-objective design of fuzzy logic controller in supply chain
Unlike commonly used methods, in this paper, we have introduced a new approach for designing fuzzy controllers. In this approach, we have simultaneously optimized both objective functions of a supply chain over a two-dimensional space. Then, we have obtained a spectrum of optimized points, each of which represents a set of optimal parameters which can be chosen by the manager according to the importance of objective functions. Our used supply chain model is a member of inventory and order-based production control system family, a generalization of the periodic review which is termed 'Order-Up-To policy.' An auto rule maker, based on non-dominated sorting genetic algorithm-II, has been applied to the experimental initial fuzzy rules. According to performance measurement, our results indicate the efficiency of the proposed approach.
- Language
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Englisch
- Bibliographic citation
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Journal: Journal of Industrial Engineering International ; ISSN: 2251-712X ; Volume: 8 ; Year: 2012 ; Pages: 1-8 ; Heidelberg: Springer
- Classification
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Management
- Subject
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supply chain
fuzzy logic controller
multi-objective optimization
- Event
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Geistige Schöpfung
- (who)
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Ghane, Mahdi
Tarokh, Mohammad
- Event
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Veröffentlichung
- (who)
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Springer
- (where)
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Heidelberg
- (when)
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2012
- DOI
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doi:10.1186/2251-712X-8-10
- Handle
- Last update
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10.03.2025, 11:42 AM CET
Data provider
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Object type
- Artikel
Associated
- Ghane, Mahdi
- Tarokh, Mohammad
- Springer
Time of origin
- 2012