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首页> 外文期刊>International Journal of Production Research >Influence of maintenance policies on multi-stage manufacturing systems in dynamic conditions
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Influence of maintenance policies on multi-stage manufacturing systems in dynamic conditions

机译：动态条件下维护策略对多阶段制造系统的影响

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摘要

Manufacturing systems are subject to a degradation process that leads to machine failure if no action is taken. Machine failures reduce the performance of the manufacturing system with loss of profits. The research proposed here concerns the evaluation of the manufacturing system performance in dynamic conditions when different maintenance policies are implemented in a multi-machine manufacturing system controlled by multiagent-architecture. There are two extreme maintenance policies that can be applied: no preventive maintenance, where action is taken on the failure state, and intensive preventive maintenance, which can eliminate unforeseen failures, but at a high cost. Dynamic policy maintenance is proposed to reduce the number of maintenance operations of the preventive policy. A discrete simulation environment has been developed in order to investigate the performance measures and the indexes of the costs of maintenance policies. The simulations have been conducted for several levels of mix, product demand and working time uncertainty. The simulation results show that the proposed approach leads to better performance for the manufacturing system and reduces the number of maintenance operations (cost index of the maintenance policy), except in the case of the mean time between failure, which is characterised by a very low standard deviation.
机译：如果不采取任何措施，制造系统会经历退化过程，从而导致机器故障。机器故障会降低制造系统的性能，并造成利润损失。当在由多代理架构控制的多机器制造系统中实施不同的维护策略时，此处提出的研究涉及动态条件下制造系统性能的评估。可以应用两种极端维护策略：不进行预防性维护（对故障状态采取措施），以及进行深入的预防性维护，这可以消除无法预料的故障，但成本较高。为了减少预防性策略的维护操作，提出了动态策略维护。为了研究性能度量和维护策略成本指标，已经开发了离散的仿真环境。针对混合，产品需求和工作时间不确定性的多个级别进行了仿真。仿真结果表明，所建议的方法可为制造系统带来更好的性能，并减少维护操作的次数（维护策略的成本指标），但平均故障间隔时间（其特征是非常低的时间除外）除外标准偏差。

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