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Information Journal Paper

Title

A MULTI-OBJECTIVE HIERARCHICAL PRODUCTION PLANNING MODEL UNDER STOCHASTIC DEMAND

Pages

  203-214

Keywords

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Abstract

 In this paper, a multi-objective Hierarchical Production Planning (HPP) model is presented for a single stage problem with stochastic demands. The HPP model is assumed to have two levels: Product type and product family, where a type is a set of families with similar costs per unit of production time. A chance-constrained goal programming approach was suggested for the first level of the HPP model, namely, Aggregate Production Plan (APP). For the second level, Disaggregate Production Plan (DPP), a cost modified function was proposed based on set-up cost and expected shortage cost within the families. The problem is also formulated as a Mixed- Integer Programming (MIP) model. Considering three alternative formulations for APP, the results of the models are compared in three directions: The versions of APP formulation, HPP versus MIP and adjusted DPP versus unadjusted DPP. The computational results demonstrate the effectiveness of the proposed approach.

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    APA: Copy

    GHAZANFARI, M., & MURTAGH, B.A.. (2002). A MULTI-OBJECTIVE HIERARCHICAL PRODUCTION PLANNING MODEL UNDER STOCHASTIC DEMAND. SCIENTIA IRANICA, 9(3), 203-214. SID. https://sid.ir/paper/289440/en

    Vancouver: Copy

    GHAZANFARI M., MURTAGH B.A.. A MULTI-OBJECTIVE HIERARCHICAL PRODUCTION PLANNING MODEL UNDER STOCHASTIC DEMAND. SCIENTIA IRANICA[Internet]. 2002;9(3):203-214. Available from: https://sid.ir/paper/289440/en

    IEEE: Copy

    M. GHAZANFARI, and B.A. MURTAGH, “A MULTI-OBJECTIVE HIERARCHICAL PRODUCTION PLANNING MODEL UNDER STOCHASTIC DEMAND,” SCIENTIA IRANICA, vol. 9, no. 3, pp. 203–214, 2002, [Online]. Available: https://sid.ir/paper/289440/en

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