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Information Journal Paper

Title

USING THE FUZZY MODELS FOR ORDERING SYSTEM IN INVENTORY CONTROL

Pages

  99-112

Abstract

 This paper submitting the computation of optimize point of ordering in inventory control systems and particularly for continuous review of ordering system (r, Q) by fuzzy logic method which similarly can be used for other ORDERING SYSTEMS. Since in the ordering models we cannot forecast the parameters like cost exactly, we have ambiguity. In this case using precise parameters may cause wrong decision making. In other hand using the statistical methods for parameters like cost is not proper. Therefore in this paper we have provided a method for using fuzzy numbers in the decision making about the ORDERING SYSTEMS. For fuzzification we have used TRAPEZOIDAL FUZZY NUMBER and for defuzzification we have used SIGNED DISTANCE METHOD. Finally there has been presented a numerical example in order to explain the given model.

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    APA: Copy

    FARSIJANI, HASSAN, & ABDOOS, MOHAMMAD REZA. (2011). USING THE FUZZY MODELS FOR ORDERING SYSTEM IN INVENTORY CONTROL. JOURNAL OF INDUSTRIAL MANAGEMENT, 3(6), 99-112. SID. https://sid.ir/paper/139985/en

    Vancouver: Copy

    FARSIJANI HASSAN, ABDOOS MOHAMMAD REZA. USING THE FUZZY MODELS FOR ORDERING SYSTEM IN INVENTORY CONTROL. JOURNAL OF INDUSTRIAL MANAGEMENT[Internet]. 2011;3(6):99-112. Available from: https://sid.ir/paper/139985/en

    IEEE: Copy

    HASSAN FARSIJANI, and MOHAMMAD REZA ABDOOS, “USING THE FUZZY MODELS FOR ORDERING SYSTEM IN INVENTORY CONTROL,” JOURNAL OF INDUSTRIAL MANAGEMENT, vol. 3, no. 6, pp. 99–112, 2011, [Online]. Available: https://sid.ir/paper/139985/en

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