Abstract Maintenance plays an important role in sustainable manufacturing as systematic and timely MRO processes can significantly reduce downtime and production losses. This paper presents a two-stage approach for an opportunistic maintenance methodology. Firstly, a real-time gated recurrent units (GRU) model is established to predict the reliability of facilities. Secondly, an ensemble evolutionary algorithm is proposed to identify the feasibilities to conduct different maintenance strategies. In addition to cost and resource availability, energy consumption is also considered as an optimization objective. An industrial case study is used to illustrate the improvements which can be achieved with the proposed methodology.

中文翻译：

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基于门控循环单元预测模型的多单元串联系统机会维护

摘要 维护在可持续制造中起着重要作用，因为系统和及时的 MRO 流程可以显着减少停机时间和生产损失。本文提出了一种机会主义维护方法的两阶段方法。首先，建立实时门控循环单元（GRU）模型来预测设施的可靠性。其次，提出了一种集成进化算法来识别执行不同维护策略的可行性。除了成本和资源可用性之外，能源消耗也被视为优化目标。一个工业案例研究被用来说明所提出的方法可以实现的改进。