Availability-Oriented Maintenance Strategy of Key Equipment in Automated Production Line Considering Performance Degradation

Miao Yang, Congbo Li, Ying Tang, Maokun Xiong

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Long-term manufacturing would bring performance degradation of key equipment in automated production lines (APLs), leading to operating unbalance and inefficiency. The existing maintenance strategies can generate maintenance schemes, but they generally ignore performance degradation that can further influence the production process. To efficiently generate maintenance schemes with maximized availability and minimized cost, an availability-oriented maintenance strategy considering performance degradation is proposed based on a synchronized hybrid optimization algorithm (SHEA) in this study. Firstly, the performance degradation of key equipment in APLs is analyzed based on the Weibull distribution, and the availability of the equipment is analyzed considering performance degradation. Secondly, a maintenance model for the key equipment in APLs is established, and a SHEA based on multi-objective particle swarm optimization (MOPSO) and squirrel search algorithm (SSA) is proposed to optimize the maintenance model with higher efficiency. Finally, the effectiveness and superiority of the proposed method are verified by citing a practical APL of the engine cylinder head as an example in the case study.

Original languageEnglish (US)
Pages (from-to)3182-3189
Number of pages8
JournalIEEE Robotics and Automation Letters
Issue number6
StatePublished - Jun 1 2023
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Biomedical Engineering
  • Human-Computer Interaction
  • Mechanical Engineering
  • Computer Vision and Pattern Recognition
  • Computer Science Applications
  • Control and Optimization
  • Artificial Intelligence


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