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首页> 外文期刊>International Journal of Production Research >Production control of hybrid manufacturing-remanufacturing systems under demand and return variations
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Production control of hybrid manufacturing-remanufacturing systems under demand and return variations

机译：需求和返回变化的混合制造再制造系统的生产控制

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摘要

Hybrid manufacturing systems that use both raw materials and returned products as a supply for their production process are considered. Specifically, the system under study contains two machines: one uses raw materials for manufacturing, while another utilises end-of-life products returned from the market for remanufacturing. Machines are failure-prone, demand and return rates fluctuate in time reflecting market behaviour due to economical, seasonal and environmental changes. The system performance is characterised by a long-term discounted cost that integrates several partial costs (those of manufacturing, remanufacturing, disposal, holding costs in serviceable and return inventories). Optimisation of the hybrid system behaviour requires to determine the combined manufacturing, remanufactruring and disposal policy, withstanding machine failures under dynamic market conditions. Optimality conditions in the form of Hamilton-Jacoby-Bellman equations are obtained and a novel numerical approach, based on the estimation of value function timederivative, is proposed in order to deal with demand and return variations. Extensive simulations are performed to address the numerous scenarios corresponding to evolving relationship between manufacturing capacities and varying demand and return levels. Simulation results show that the optimal policies have an important property of anticipating the future changes in the demand and return, and making the timely decisions relevant to these changes.
机译：考虑了使用原料和退回产品作为生产过程供应的混合制造系统。具体而言，正在研究的系统包含两台机器：一种机器使用制造原材料，而另一个机器使用从市场返回的生活结束产品进行再制造。机器是易于失败的，需求和回报率在时间波动，反映由于经济，季节性和环境变化而导致的市场行为。系统性能的特点是长期折扣成本，整合了几种部分成本（制造，再制造，处置，可维修和退货存货的成本）。混合系统行为的优化需要确定在动态市场条件下的机器故障的组合制造，雷曼布鲁和处置政策。提出了基于价值函数TimEderivative的估计来获得汉密尔顿 - 雅各比 - Bellman方程形式的最优性条件，并提出了一种新的数值方法，以处理需求和返回变化。进行广泛的模拟以解决对应于制造能力与不同需求和返回水平之间的不断变化关系的许多场景。仿真结果表明，最佳政策有一个重要的财产，可以预测需求和回报的未来变化，并使与这些变化有关的及时决策。

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