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A Joint Supplier Selection and Lot-Sizing Problem Considering Quality Constraint and Quantity Discount

机译:考虑质量限制和数量折扣,联合供应商选择和批量问题

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This paper considers a joint supplier selection and lot-sizing problem, where suppliers are capacitated and offer a certain type of quantity discount. The product's perfect rate varies among suppliers and a minimum average acceptable perfect rate (APR) is required. Besides, in order to facilitate production plans, orders placed to suppliers are required to cover the demand corresponding to an interval that is multiple of a given time unit. A cyclic order schedule is employed, and the set of selected suppliers and corresponding order quantities and frequencies are determined accordingly so that the total cost per time unit (CPT) is minimized. A mixed-integer linear programming model is presented. An exact algorithm based on dynamic programming (DPA) is proposed. A numerical example is presented to illustrate the application of the model and algorithm. DPA not only solves the problem optimally but also provides the trade-off between CPT and APR for the decision maker.
机译:本文考虑了联合供应商选择和批量尺寸问题,供应商被电容,提供某种类型的数量折扣。产品的完美率在供应商之间变化,需要最低平均可接受的完美率(APR)。此外,为了促进生产计划,需要向供应商提供订单来涵盖对应于给定时间单位的倍数的时间间隔。采用循环顺序时间表,并且相应地确定所选供应商和相应的订单量和频率的集合,使得每个时间单位(CPT)的总成本最小化。提出了混合整数线性编程模型。提出了一种基于动态编程(DPA)的精确算法。提出了一个数值示例以说明模型和算法的应用。 DPA不仅可以最佳解决问题,而且还提供了CPT与决策者的APR之间的权衡。

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