Advances in Manufacturing ›› 2024, Vol. 12 ›› Issue (2): 252-269.doi: 10.1007/s40436-023-00465-x

• • 上一篇    

A condition-based maintenance policy for reconfigurable multi-device systems

Shu-Lian Xie, Feng Xue, Wei-Min Zhang, Jia-Wei Zhu   

  1. School of Mechanical Engineering, Tongji University, Shanghai 201804, People's Republic of China
  • 收稿日期:2023-02-12 修回日期:2023-05-01 发布日期:2024-05-16
  • 通讯作者: Shu-Lian Xie,E-mail:shulian00@tongji.edu.cn E-mail:shulian00@tongji.edu.cn
  • 作者简介:Shu-Lian Xie is a PhD candidate of Mechanical Engineering at Tongji University, Shanghai, China. His current research interests include intelligent manufacturing systems and Industry 4.0 oriented turnkey projects;
    Feng Xue is currently a PhD candidate of Mechanical Engineering in Tongji University, Shanghai, China. His current research interests include intelligent diagnostic and optimization technologies for machine components & feeding systems;
    Wei-Min Zhang received his PhD degree in Theory of Mechanical Design from Tongji University, Shanghai, China, in 1999. He is a professor and head of the Institute of Advanced Manufacturing Technology in Tongji University. His current research interests include intelligent manufac turing, industry 5G technology, learning factory, and autonomous systems;
    Jia-Wei Zhu is currently a research assistant at Tongji University, Shanghai, China. He received his bachelor's degree at Xi'an Jiaotong University, Xi'an, China. His current research interest includes advanced manufactur ing and machine learning.
  • 基金资助:
    This work was supported by the National Key R&D Program of China(Grant No.2022YFE0114100) and the National Key R&D Program of China(Grant No.2017YFE0101400).

A condition-based maintenance policy for reconfigurable multi-device systems

Shu-Lian Xie, Feng Xue, Wei-Min Zhang, Jia-Wei Zhu   

  1. School of Mechanical Engineering, Tongji University, Shanghai 201804, People's Republic of China
  • Received:2023-02-12 Revised:2023-05-01 Published:2024-05-16
  • Contact: Shu-Lian Xie,E-mail:shulian00@tongji.edu.cn E-mail:shulian00@tongji.edu.cn
  • Supported by:
    This work was supported by the National Key R&D Program of China(Grant No.2022YFE0114100) and the National Key R&D Program of China(Grant No.2017YFE0101400).

摘要: The exploration of component states for optimizing maintenance schedules in complex systems has garnered significant interest from researchers. However, current literature usually overlooks the critical aspects of system flexibility and reconfigurability. Judicious implementation of system reconfiguration can effectively mitigate system downtime and enhance production continuity. This study proposes a dynamic condition-based maintenance policy considering reconfiguration for reconfigurable systems. A double-layer decision rule was constructed for the devices and systems. To achieve the best overall maintenance effect of the system, the remaining useful life probability distribution and recommended maintenance time of each device were used to optimize the concurrent maintenance time window of the devices and determine whether to reconfigure them. A comprehensive maintenance efficiency index was introduced that simultaneously considered the maintenance cost rate, reliability, and availability of the system to characterize the overall maintenance effect. The reconfiguration cost was included in the maintenance cost. The proposed policy was tested through numerical experiments and compared with different-level policies. The results show that the proposed policy can significantly reduce the downtime and maintenance costs and improve the overall system reliability and availability.

The full text can be downloaded at https://link.springer.com/article/10.1007/s40436-023-00465-x

关键词: Condition-based maintenance (CBM), Reconfigurable system, Remaining useful life, Maintenance cost, System reliability

Abstract: The exploration of component states for optimizing maintenance schedules in complex systems has garnered significant interest from researchers. However, current literature usually overlooks the critical aspects of system flexibility and reconfigurability. Judicious implementation of system reconfiguration can effectively mitigate system downtime and enhance production continuity. This study proposes a dynamic condition-based maintenance policy considering reconfiguration for reconfigurable systems. A double-layer decision rule was constructed for the devices and systems. To achieve the best overall maintenance effect of the system, the remaining useful life probability distribution and recommended maintenance time of each device were used to optimize the concurrent maintenance time window of the devices and determine whether to reconfigure them. A comprehensive maintenance efficiency index was introduced that simultaneously considered the maintenance cost rate, reliability, and availability of the system to characterize the overall maintenance effect. The reconfiguration cost was included in the maintenance cost. The proposed policy was tested through numerical experiments and compared with different-level policies. The results show that the proposed policy can significantly reduce the downtime and maintenance costs and improve the overall system reliability and availability.

The full text can be downloaded at https://link.springer.com/article/10.1007/s40436-023-00465-x

Key words: Condition-based maintenance (CBM), Reconfigurable system, Remaining useful life, Maintenance cost, System reliability