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Information Journal Paper

Title

AN EFFICIENT DYNAMIC PROGRAMMING APPROACH TO OPTIMIZE CAPACITATED LOT-SIZING PROBLEM

Pages

  89-102

Abstract

 In most industrial applications, determining production quantities are one of the most key decision making. In this paper, an integer MATHEMATICAL PROGRAMMING model for lot-sizing problem with considering set-up time, safety stock, shortage cost, and different production manners, is presented.The objective is to minimize summation of production, set up, holding, and shortage costs. To solve the model, a forward DYNAMIC PROGRAMMING (DP) approach is presented and compared with classical backward DP method.Finally, different numerical illustrations with different dimension are generated. The statistical analysis on computational results showed that the proposed DP approach is more applicable than the classical DP in terms of computational time.

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    APA: Copy

    HAJIPOUR, VAHID, MOHAMMADIZADEH, MOHAMMADREZA, & ABBASI, MORTEZA. (2016). AN EFFICIENT DYNAMIC PROGRAMMING APPROACH TO OPTIMIZE CAPACITATED LOT-SIZING PROBLEM. ADVANCES IN MATHEMATICAL MODELING, 6(1), 89-102. SID. https://sid.ir/paper/243911/en

    Vancouver: Copy

    HAJIPOUR VAHID, MOHAMMADIZADEH MOHAMMADREZA, ABBASI MORTEZA. AN EFFICIENT DYNAMIC PROGRAMMING APPROACH TO OPTIMIZE CAPACITATED LOT-SIZING PROBLEM. ADVANCES IN MATHEMATICAL MODELING[Internet]. 2016;6(1):89-102. Available from: https://sid.ir/paper/243911/en

    IEEE: Copy

    VAHID HAJIPOUR, MOHAMMADREZA MOHAMMADIZADEH, and MORTEZA ABBASI, “AN EFFICIENT DYNAMIC PROGRAMMING APPROACH TO OPTIMIZE CAPACITATED LOT-SIZING PROBLEM,” ADVANCES IN MATHEMATICAL MODELING, vol. 6, no. 1, pp. 89–102, 2016, [Online]. Available: https://sid.ir/paper/243911/en

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