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An optimal consignment stock production and replenishment policy with controllable lead time

机译:具有可控提前期的最佳寄售库存生产和补货策略

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摘要

This paper considers a single-vendor and single-buyer production system in which the lead-time is controllable with an extra investment under a long-term agreement between the two trading partners. The vendor produces at a finite rate, ships the outputs in lots of equal size within a production cycle, and delays those shipments for a certain period when the buyer's inventory approaches the capacity limits. Therefore, the arrival of these shipments does not lead to an increase in the buyer's inventory. Meanwhile, the buyer holds the payment until the complete consumption of the products. The holding cost consists of a storage component and a financial component. A joint EOQ/EPQ model is then established under cases where the buyer's unit storage holding cost might be greater or less than that of the vendor to jointly determine the number of shipments, the size of each shipment, the number of delayed shipments, and the lead time that minimise the yearly joint total expected cost (JTEC) of the system. An efficient solution procedure is provided to solve the non-linear integer optimisation model that defined the system under consideration. A method to determine the integer global optima from the real global optima is also presented. Two numerical experiments are conducted to illustrate the procedure and the results show that considering the combined effect of adopting a consignment stock policy and lead time crashing opportunities may lead to a better result than any of these two policies considered separately.
机译:本文考虑了一种单供应商和单买方的生产系统,在该系统中,根据两个贸易伙伴之间的长期协议,可以通过额外投资来控制交货时间。卖方以有限的速度生产,在生产周期内以相等大小的批量装运输出,并在买方的库存接近容量极限时将这些装运延迟一定的时间。因此,这些货物的到来不会导致买方库存的增加。同时,购买者保留付款直到产品完全消费为止。持有成本包括存储部分和财务部分。然后,在买方的单位仓储持有成本可能大于或小于卖方的单位仓储成本的情况下,建立联合EOQ / EPQ模型,以共同确定装运数量,每批装运的大小,延迟装运的数量以及前置时间可最大程度地减少系统的年度联合预期总成本(JTEC)。提供了一种有效的解决方法来解决定义所考虑系统的非线性整数优化模型。还提出了一种从实全局最优确定整数全局最优的方法。进行了两个数值实验以说明该过程,结果表明,考虑采用寄售库存策略和提前期崩溃机会的综合效果可能会比单独考虑的这两种策略中的任何一个产生更好的结果。

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