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Joint optimisation of production, maintenance and quality for batch production system subject to varying operational conditions

机译:用于批量生产系统的生产,维护和质量的联合优化,经过不同的操作条件

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摘要

This paper considers the integration problem of production, maintenance and quality for a capacitated lot-sizing production system subject to deterioration. The effects of varying operational conditions from batch to batch on system reliability and product quality are modelled by proportional hazards models, resulting in non-monotonic failure rate and defect rate. After each batch production, imperfect preventive maintenance (PM) is determined to mitigate the system deterioration, and inspection is taken to sort nonconforming items in the finished goods. Once the cumulative number of nonconforming items exceeds a predetermined threshold, an overhaul is performed to renew the system. An integrated model for optimising production plan, PM plan and overhaul strategy is developed to minimise the total cost while satisfying all product demands. A genetic algorithm is proposed to solve the integrated model efficiently. Numerical results validate the rationality of the model with varying operational conditions consideration and its applicability in economic benefits.
机译:本文考虑了电容批量施胶生产系统的生产,维护和质量的集成问题,如有恶化。不同运行条件从批量批量进行系统可靠性和产品质量的影响是由比例危险模型建模的,导致非单调失效率和缺陷率。在每个批量生产后,确定不完美的预防性维护(PM)以减轻系统劣化,并采取检验来对成品中的不合格物品进行分类。一旦累积数量的不合格项目超过预定阈值,就执行了大修以续订系统。开发了一种优化生产计划,PM计划和大修战略的集成模型,以最大限度地减少满足所有产品需求的总成本。提出了一种遗传算法以有效地解决集成模型。数值结果验证模型的合理性,不同的运营条件考虑及其在经济效益中的适用性。

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