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Production and setup policy optimization for hybrid manufacturing-remanufacturing systems

机译:混合制造-再制造系统的生产和设置策略优化

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Hybrid systems that use both raw materials (manufacturing mode) and returned products (re manufacturing mode) as a supply for their production process are considered. The system studied consists of one facility that necessitates setup for switching from one production mode to another. As in industrial practice, the flow rate of returned products is usually below the market demand, switching from one mode to another is unavoidable for meeting the demand. Therefore, determining the optimal production and setup policies is critical for effectively planning production process and reducing the manufacturing cost. Evaluating system performance, we take into account production costs in manufacturing and remanufacturing modes, serviceable and return inventory costs, backlog and setup costs. We present first an analytical solution for optimal production and setup schedule along the production cycles, considering the case of reliable systems. These cycles are shown to contain intervals of production at maximal rates as well as on-demand manufacturing and on-return remanufacturing. Next, for failure prone systems, the optimality conditions in the form of Hamilton-Jacobi-Bellman (HJB) equations are developed. Solving HJB equations numerically, the optimal production and setup policies are calculated, and it is demonstrated that the optimal trajectories converge to the production cycles) of the type determined analytically beforehand. The sensitivity analysis of the obtained solutions (both analytical and numerical) over system parameters is presented to validate the proposed approach and demonstrate the robustness of the results. (C) 2016 Published by Elsevier B.V.
机译:考虑使用原材料(制造模式)和退货产品(再制造模式)作为生产过程的供应的混合系统。研究的系统由一种设备组成,该设备需要进行设置才能从一种生产模式切换到另一种生产模式。在工业实践中,退回产品的流量通常低于市场需求,为满足需求,不可避免地要从一种模式切换到另一种模式。因此,确定最佳的生产和设置策略对于有效地计划生产过程并降低制造成本至关重要。在评估系统性能时,我们考虑了制造和再制造模式下的生产成本,可维修和退货库存成本,积压和设置成本。考虑到可靠系统的情况,我们首先提出一种分析解决方案,以在整个生产周期中实现最佳生产和设置计划。这些循环显示出以最高速度生产的间隔,以及按需制造和退货再制造。接下来,对于易发生故障的系统,开发了汉密尔顿-雅各比-贝尔曼(HJB)方程形式的最优条件。通过数值求解HJB方程,可以计算出最优的生产和设置策略,并证明了最优轨迹收敛于事先解析确定的类型。提出了对系统参数所获得的解决方案(包括解析方法和数值方法)的敏感性分析,以验证所提出的方法并证明结果的鲁棒性。 (C)2016由Elsevier B.V.发布

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