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Optimal acquisition, inventory and production decisions for a closed-loop manufacturing system with legislation constraint

机译:具有法规约束的闭环制造系统的最佳采购,库存和生产决策

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摘要

In order to improve the utilization efficiency of resources, more and more countries have required manufacturing firms to remanufacture or reuse used products through legislation. For many firms, the profit from reusing used products may be less than the profit from producing new products, so how to make decisions under such legislation constraint is a major concern by these firms. In this paper, we study the optimal acquisition, inventory and production decision problem for such firms under a two-period setting, where firms have two different production ways: (i) production with new raw materials, and (ii) production with used products. The return quantity of used products at the second period depends on the demand of the first period and the acquisition effort. The problem is formulated as a stochastic dynamic programming model. We give the optimal production rule and the optimal inventory decision at the second period, and prove the existence of an optimal policy with a simple structure at the first period. Moreover, based on our theoretical analysis, we calculate the optimal decisions under different parameter settings, and discuss how the firm does react when facing with specific market and production conditions.
机译:为了提高资源利用效率,越来越多的国家要求制造企业通过立法对旧产品进行再制造或再利用。对于许多公司而言,重复使用旧产品的利润可能少于生产新产品的利润,因此如何在这种立法约束下做出决策是这些公司的主要关注点。在本文中,我们研究了在两种情况下企业具有两种不同生产方式的此类公司的最优采购,库存和生产决策问题:(i)使用新原材料进行生产,以及(ii)使用二手产品进行生产。第二阶段的二手产品退货数量取决于第一阶段的需求和采购工作量。该问题被表述为随机动态规划模型。我们在第二阶段给出了最优生产规则和最优库存决策,并在第一阶段证明了结构简单的最优策略的存在。此外,基于我们的理论分析,我们计算了不同参数设置下的最优决策,并讨论了公司在面对特定市场和生产条件时的反应。

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