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Two-Period Inventory Control with Manufacturing and Remanufacturing under Return Compensation Policy

机译:退回补偿政策下的两期库存控制与制造和再制造

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摘要

As an effective way of decreasing production cost, remanufacturing has attracted more and more attention from firms. However, it also brings many difficulties to firms, especial when firms remanufacture products which they produce. A primary problem for the case is how to acquire the used product sold by the firm itself. In this paper, we consider a return compensation policy for acquiring used product from customers. Under this policy, the return quantity of used product is a proportion of demand. We study an inventory replenishment and production planning problem for a two-period inventory system with dependent return and demand. We formulate the problem into a three-stage stochastic programming problem, where the firm needs to make decisions on the replenishment quantity of new raw material inventory in each period and the production quantities of manufacturing and remanufacturing ways. We give the optimal production policy of manufacturing and remanufacturing ways for the realized demand and prove the objective function for each stage to be concave in the inventory replenishment quantity. Moreover, we prove that the basic inventory policy is still optimal for each period and give the analytical conditions of the optimal inventory levels which are unrelated to acquisition price. Finally, we investigate numerical studies to analyze managerial insights.
机译:作为降低生产成本的有效方式,再制造已经吸引了越来越多的公司的关注。然而,它还为公司带来了许多困难,特别是当公司再制造它们产生的产品时。案例的主要问题是如何获得公司本身销售的二手产品。在本文中,我们考虑从客户获取使用的产品的退货补偿政策。根据本政策,二手产品的返回数量是需求的比例。我们研究了一个具有依赖回报和需求的两期库存系统的库存补充和生产计划问题。我们制定了一个三阶段随机编程问题的问题,该公司需要在每个时期的新原料库存的补充量和制造量和再制造方式的生产量决定。我们为实现的需求提供了制造和再制造方式的最佳生产政策,并证明每个阶段的目标函数在库存补充量中凹陷。此外,我们证明,基本库存政策对每个时期仍然是最佳的,并提供与收购价格无关的最佳库存水平的分析条件。最后,我们调查数值研究来分析管理洞察力。

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