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Set-up and production planning in hybrid manufacturing-remanufacturing systems with large returns

机译:具有高回报的混合制造-再制造系统的设置和生产计划

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摘要

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.
机译:考虑在生产过程中同时使用原材料和退货产品的混合系统。该系统包含一个设施,并且每次在两种生产模式之间切换时都要进行设置。特别是,我们针对主要从事再制造且回报率很高的系统。在再制造渠道成熟的公司中会遇到这种情况。目标应用领域由混合系统组成,这些系统使用租赁作为业务模型,并通过制造来降低收益的不确定性。为了评估系统性能,我们考虑了制造和再制造成本,可维修和退回库存中的持有成本,积压和建立成本。我们对具有高回报水平的混合系统的分析揭示了此类系统特有的功能,并将其与具有较低回报率的系统区分开来。我们首先提出用于最佳生产和设置时间表的分析解决方案,并确定可靠系统的可能周期形状。最佳策略包含以最大速率进行制造和再制造的间隔,以及按需和退货再制造的间隔。接下来,使用随机动态编程的形式主义研究易于失效的系统。最佳策略会导致轨迹收敛到类似于分析计算的周期的模式。

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