Set-up and production planning in hybrid manufacturing–remanufacturing systems with large returns
Set-up and production planning in hybrid manufacturing–remanufacturing systems with large returns
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DOI：
10.1080/00207543.2017.1293863
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发表时间：
2017-03
影响因子：
9.2
通讯作者：
V. Polotski;J. Kenné;A. Gharbi
中科院分区：
文献类型：
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作者：
V. Polotski;J. Kenné;A. Gharbi
考虑在生产过程中同时使用原材料和返回产品的混合系统。该系统包含一个设施，每次在两种生产模式之间切换时都会进行设置。我们特别关注主要从事再制造且回报率较高的系统。这种情况多见于拥有成熟再制造渠道的企业。目标应用领域由混合系统组成，该系统使用租赁作为商业模式，并通过制造来减少回报的不确定性。为了评估系统性能，我们考虑了制造和再制造成本、可维修和退货库存的持有成本、积压和设置成本。我们对高回报率混合系统的分析揭示了此类系统特有的特征，并将其与低回报率系统区分开来。我们首先提出最佳生产和设置计划的分析解决方案，并确定可靠系统的可能循环形状。最优策略包含最大速率制造和再制造的间隔，以及按需和返回再制造的间隔。接下来使用随机动态规划的形式来研究容易发生故障的系统。最优政策产生的轨迹收敛于类似于分析计算周期的模式。
Hybrid systems that use both raw materials and returned products in the production process are considered. The system contains one facility, and undergoes set-ups each time it switches between two production modes. In particular, we address systems engaged mainly in remanufacturing and having a large percentage of return. This situation is encountered in companies with mature remanufacturing channels. The targeted application area is comprised of hybrid systems that uses leasing as a business model with manufacturing serving to attenuate return uncertainty. To evaluate the system performance, we take into account manufacturing and remanufacturing costs, holding costs in serviceable and return inventories, backlog and set-up costs. Our analysis of hybrid systems with high return levels reveals features that are peculiar to such systems and that differentiate them from systems with lower return rates. We first present analytical solutions for optimal production and set-up schedule, and determine the possible cycle shapes for reliable systems. Optimal policies contain intervals of manufacturing and remanufacturing at maximal rate, and intervals of on-demand and on-return remanufacturing. Failure-prone systems are studied next, using the formalism of stochastic dynamic programming. Optimal policies give rise to the trajectories converging to the patterns similar to the analytically calculated cycles.