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Information Journal Paper

Title

LOT SIZING BASED ON STOCHASTIC DEMAND AND SERVICE LEVEL CONSTRAINT

Pages

  1-15

Abstract

 Considering its application, stochastic lot sizing is a significant subject in production planning. Also the concept of SERVICE LEVEL is more applicable than shortage cost from managers’ viewpoint. In this paper, the stochastic MULTI PERIOD MULTI ITEM CAPACITATED LOT SIZING problem has been investigated considering SERVICE LEVEL constraint. First, the single item model has been developed considering SERVICE LEVEL and with no capacity constraint and then, it has been solved using DYNAMIC PROGRAMMING algorithm and the optimal solution has been derived. Then the model has been generalized to multi item problem with capacity constraint. The stochastic MULTI PERIOD MULTI ITEM CAPACITATED LOT SIZING problem is NP-Hard, hence the model could not be solved by exact optimization approaches. Therefore, SIMULATED ANNEALING METHOD has been applied for solving the problem. Finally, in order to evaluate the efficiency of the model, low level criterion has been used.

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    APA: Copy

    SHIRNESHAN, HAJAR, BIJARI, MEHDI, & MOSLEHI, GHASEM. (2012). LOT SIZING BASED ON STOCHASTIC DEMAND AND SERVICE LEVEL CONSTRAINT. PRODUCTION AND OPERATIONS MANAGEMENT, 3(1 (4)), 1-15. SID. https://sid.ir/paper/217535/en

    Vancouver: Copy

    SHIRNESHAN HAJAR, BIJARI MEHDI, MOSLEHI GHASEM. LOT SIZING BASED ON STOCHASTIC DEMAND AND SERVICE LEVEL CONSTRAINT. PRODUCTION AND OPERATIONS MANAGEMENT[Internet]. 2012;3(1 (4)):1-15. Available from: https://sid.ir/paper/217535/en

    IEEE: Copy

    HAJAR SHIRNESHAN, MEHDI BIJARI, and GHASEM MOSLEHI, “LOT SIZING BASED ON STOCHASTIC DEMAND AND SERVICE LEVEL CONSTRAINT,” PRODUCTION AND OPERATIONS MANAGEMENT, vol. 3, no. 1 (4), pp. 1–15, 2012, [Online]. Available: https://sid.ir/paper/217535/en

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