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Joint Production and Spare Part Inventory Control Strategy Driven by Condition Based Maintenance

机译:基于状态维护的联合生产和备件库存控制策略

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摘要

Throughput of a manufacturing process depends on the effectiveness of equipment maintenance, and the availability of spare(service) parts. This paper addresses a joint production and spare part inventory control strategy driven by condition based maintenance(CBM) for a piece of manufacturing equipment. Specifically, a critical unit is continuously monitored for performance degradation during operation. The amount of degradation is utilized to initiate replacement actions in conjunction with spare part inventory control under both production lot size, and due date constraints. A degradation limit maintenance policy is combined with a base stock spare part inventory control policy to manage the manufacturing process. The objectives are to minimize the spare part inventory, and the expected total operating cost. Constrained least squares approximation, and simulation-based optimization are utilized, in a heuristic two-step approach, to determine the optimal base-stock level of spare parts, along with the preventive maintenance threshold. The resulting joint decision ascertains the allowed stockout probability for spare parts, while incurring the minimal operating cost for the required production within a fixed production duration. A case study of an automotive engine manufacturing process is provided to demonstrate the proposed decision-making methodology in practical use.
机译:制造过程的吞吐量取决于设备维护的有效性以及备件(服务)的可用性。本文提出了一种基于状态维护(CBM)的制造设备驱动的联合生产和备件库存控制策略。具体而言,在运行过程中会持续监视关键单元的性能下降。在生产批次大小和到期日约束下,降解量可与备件库存控制一起用于启动替换操作。降级限制维护策略与基本库存备件库存控制策略结合在一起以管理制造过程。目标是最大程度地减少备件库存和预期的总运营成本。启发式两步法利用约束最小二乘近似和基于仿真的优化来确定备件的最佳基础库存水平以及预防性维护阈值。最终的联合决策确定了允许的备件缺货概率,同时在固定的生产时间内为所需生产产生了最低的运营成本。提供了汽车发动机制造过程的案例研究,以证明所建议的决策方法在实际使用中。

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