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Cites:

Information Journal Paper

Title

Lead time optimization considering defective items in material requirements planning: a case study

Pages

  299-334

Abstract

Material requirements planning systems are used in discrete manufacturing systems. In this article, mixed-integer programming is used to minimize the total cost that contains work in process inventory cost, setup cost, backorder costs, lost sales, additional product cost, and changes in the lead-time cost. Furthermore, it is considered that some part of the delayed demand is backorders and the other part is lost sales. Moreover, Defective items and their impact on the demand of customers are discussed in this paper. The suggested deterministic model is single-objective and applied to a ready-mixed concrete production company. According to the optimal results, by decreasing the number of Defective items, the manufacturing costs in the studied company can be reduced by %30. Also, the material ordering plan can be implemented according to planned lead times. Furthermore, in this article, a lower bound is suggested for the problem and the computational efficiency of the lower bound is evaluated.

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  • Cite

    APA: Copy

    KARIMI, HOSSEIN, & Sharifian, Vahid. (2021). Lead time optimization considering defective items in material requirements planning: a case study. JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES, 18(59 ), 299-334. SID. https://sid.ir/paper/391100/en

    Vancouver: Copy

    KARIMI HOSSEIN, Sharifian Vahid. Lead time optimization considering defective items in material requirements planning: a case study. JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES[Internet]. 2021;18(59 ):299-334. Available from: https://sid.ir/paper/391100/en

    IEEE: Copy

    HOSSEIN KARIMI, and Vahid Sharifian, “Lead time optimization considering defective items in material requirements planning: a case study,” JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES, vol. 18, no. 59 , pp. 299–334, 2021, [Online]. Available: https://sid.ir/paper/391100/en

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