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首页> 外文期刊>International Journal of Production Research >Functional risk-oriented integrated preventive maintenance considering product quality loss for multistate manufacturing systems
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Functional risk-oriented integrated preventive maintenance considering product quality loss for multistate manufacturing systems

机译：考虑多岩制造系统的产品质量损失的功能性风险导向的综合预防维护

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摘要

During the abnormal operations before breakdown of a multistate manufacturing system, product quality loss could systematically characterise the affected economic cost in advance. However, few studies have considering the valuable quality loss data, thus, a novel risk-oriented optimisation approach of integrated maintenance is proposed considering the quality loss of work-in-process (WIP) obtained from the manufacturing system. First, the functional risks in manufacturing systems are expounded and classified by detectable deviations and potential manufacturing defects of the finished product based on machine performance state, and product quality loss is therefore applied for preventive maintenance activities. Second, the degradation path of machine performance and its effect on WIP are clarified. Explicit risk is presented by dimensional deviations of key quality characteristics, whereas implicit risk is quantified by the influence of component- and system-level manufacturing defects on the early product usage phase. Third, different levels of maintenance actions are proposed, and the integrated preventive maintenance plan for the entire production horizon is obtained by minimising product quality loss and PM investments. The optimal decision combination is solved by genetic algorithm. Finally, the optimal maintenance strategy is presented to verify the superiority of this method through the analysis of a cylinder head manufacturing system.
机译：在多态制造系统分解前的异常行动期间，产品质量损失可以提前系统地表征受影响的经济成本。然而，很少有研究过考虑有价值的质量损失数据，因此，建议考虑到从制造系统获得的过程中的工艺（WIP）的质量损失，提出了一种综合维护的新风险定向优化方法。首先，通过可检测的偏差和基于机器性能状态的成品的可检测偏差和潜在的制造缺陷来阐述和对制造系统的功能风险进行阐述和分类，因此应用了产品质量损失用于预防性维护活动。其次，阐明了机器性能的降解路径及其对WIP的影响。通过关键质量特征的尺寸偏差提出了明确的风险，而通过组件和系统级制造缺陷对早期产品使用阶段的影响，可以量化隐性风险。第三，提出了不同级别的维护行动，通过最大限度地降低产品质量损失和PM投资来获得整个生产地平线的综合预防性维护计划。最佳决策组合通过遗传算法解决。最后，提出了最佳的维护策略来验证这种方法的优越性通过气缸盖制造系统的分析。

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