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Information Journal Paper

Title

DEVELOPING A FUZZY-STOCHASTIC MULTI OBJECTIVES INVENTORY MODEL

Pages

  209-235

Abstract

 In this paper we developed an inventory model in mixed imprecise and uncertain environment. Presented model is developed form of (r, Q) and is a multi-items model with two objectives as minimizing costs (holding & shortage) and risk level under constraints including available budgetary, the least service level, storage spaces & allowable quantities of shortage. Demand distribution functions are assumed to be exponential and extra demands are supposed in two situations as lost sales and backlogging. At first we develop crisp model then fuzzy stochastic model with fuzzy budgetary, allowable quantities of shortage and shortage spaces (i.e. stochastic with normal distribution function) parameter. All of fuzzy numbers are triangular type. In methodology of solution we change model to a crisp multi objective by using difuzzification of fuzzy constraints and fuzzy chance-constrained programming methods, and then solve it by fuzzy logic method. Finally an illustrated example is taken and solved using LINGO package.

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    Cite

    APA: Copy

    NAYEBI, MOHAMMAD AMIN, & PANAHINIA, ABBASS. (2011). DEVELOPING A FUZZY-STOCHASTIC MULTI OBJECTIVES INVENTORY MODEL. JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES, 9(22), 209-235. SID. https://sid.ir/paper/213204/en

    Vancouver: Copy

    NAYEBI MOHAMMAD AMIN, PANAHINIA ABBASS. DEVELOPING A FUZZY-STOCHASTIC MULTI OBJECTIVES INVENTORY MODEL. JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES[Internet]. 2011;9(22):209-235. Available from: https://sid.ir/paper/213204/en

    IEEE: Copy

    MOHAMMAD AMIN NAYEBI, and ABBASS PANAHINIA, “DEVELOPING A FUZZY-STOCHASTIC MULTI OBJECTIVES INVENTORY MODEL,” JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES, vol. 9, no. 22, pp. 209–235, 2011, [Online]. Available: https://sid.ir/paper/213204/en

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