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
Englisch

Bibliographic citation
Journal: Journal of Industrial Engineering International ; ISSN: 2251-712X ; Volume: 8 ; Year: 2012 ; Pages: 1-8 ; Heidelberg: Springer

Classification
Management
Subject
supply chain
fuzzy logic controller
multi-objective optimization

Event
Geistige Schöpfung
(who)
Ghane, Mahdi
Tarokh, Mohammad
Event
Veröffentlichung
(who)
Springer
(where)
Heidelberg
(when)
2012

DOI
doi:10.1186/2251-712X-8-10
Handle
Last update
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

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