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Cites:

1

Information Journal Paper

Title

MULTI-OBJECTIVE DESIGN OF FUZZY LOGIC CONTROLLER IN SUPPLY CHAIN

Pages

  1-8

Abstract

 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.

Cites

References

Cite

APA: Copy

GHANE, MAHDI, & TAROKH, MOHAMMAD JAFAR. (2012). MULTI-OBJECTIVE DESIGN OF FUZZY LOGIC CONTROLLER IN SUPPLY CHAIN. JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL, 8(8), 1-8. SID. https://sid.ir/paper/309898/en

Vancouver: Copy

GHANE MAHDI, TAROKH MOHAMMAD JAFAR. MULTI-OBJECTIVE DESIGN OF FUZZY LOGIC CONTROLLER IN SUPPLY CHAIN. JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL[Internet]. 2012;8(8):1-8. Available from: https://sid.ir/paper/309898/en

IEEE: Copy

MAHDI GHANE, and MOHAMMAD JAFAR TAROKH, “MULTI-OBJECTIVE DESIGN OF FUZZY LOGIC CONTROLLER IN SUPPLY CHAIN,” JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL, vol. 8, no. 8, pp. 1–8, 2012, [Online]. Available: https://sid.ir/paper/309898/en

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