期刊
CIRP ANNALS-MANUFACTURING TECHNOLOGY
卷 69, 期 1, 页码 25-28出版社
ELSEVIER
DOI: 10.1016/j.cirp.2020.04.019
关键词
Maintenance; Algorithm; Energy consumption
资金
- Beijing Natural Science Foundation [JQ19011]
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. (C) 2020 Published by Elsevier Ltd on behalf of CIRP.
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