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Reconfiguration-oriented opportunistic maintenance policy for reconfigurable manufacturing systems

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Listed:
  • Xia, Tangbin
  • Xi, Lifeng
  • Pan, Ershun
  • Ni, Jun

Abstract

In today's highly competitive industrial market, reconfigurable manufacturing systems (RMSs) have been invented for diverse products, high quality and quick manufacturing. However, the changeable system structure brings new challenges for multi-unit maintenance scheduling. Thus, this research attempts to develop a novel dynamic maintenance strategy for those reconfigurable structures. In the machine-level decision-making, dynamical maintenance intervals are scheduled according to individual machine degradation. For responding rapidly to various system-level reconfigurations, RMS characters and maintenance opportunities are comprehensively considered. Then, a reconfigurable maintenance time window (RMTW) method is proposed to make real-time schedules for system-level opportunistic maintenance. This reconfiguration-oriented maintenance policy is demonstrated through the case study in a hydraulic steering factory. It is concluded that the proposed methodology can efficiently achieve rapid responsiveness and cost effectiveness for reconfigurable manufacturing systems.

Suggested Citation

  • Xia, Tangbin & Xi, Lifeng & Pan, Ershun & Ni, Jun, 2017. "Reconfiguration-oriented opportunistic maintenance policy for reconfigurable manufacturing systems," Reliability Engineering and System Safety, Elsevier, vol. 166(C), pages 87-98.
    • Handle: RePEc:eee:reensy:v:166:y:2017:i:c:p:87-98
    DOI: 10.1016/j.ress.2016.09.001
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    Cited by:

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    2. Zhang, Tian & Homri, Lazhar & Dantan, Jean-Yves & Siadat, Ali, 2023. "Models for reliability assessment of reconfigurable manufacturing system regarding configuration orders," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    3. Cavalcante, Cristiano A.V. & Lopes, Rodrigo S. & Scarf, Philip A., 2021. "Inspection and replacement policy with a fixed periodic schedule," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    4. Sinisterra, Wilfrido Quiñones & Lima, Victor Hugo Resende & Cavalcante, Cristiano Alexandre Virginio & Aribisala, Adetoye Ayokunle, 2023. "A delay-time model to integrate the sequence of resumable jobs, inspection policy, and quality for a single-component system," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    5. Zhang, Yongjin & Zhao, Ming & Zhang, Yanjun & Pan, Ruilin & Cai, Jing, 2020. "Dynamic and steady-state performance analysis for multi-state repairable reconfigurable manufacturing systems with buffers," European Journal of Operational Research, Elsevier, vol. 283(2), pages 491-510.
    6. Xia, Tangbin & Dong, Yifan & Xiao, Lei & Du, Shichang & Pan, Ershun & Xi, Lifeng, 2018. "Recent advances in prognostics and health management for advanced manufacturing paradigms," Reliability Engineering and System Safety, Elsevier, vol. 178(C), pages 255-268.
    7. Cavalcante, C.A.V. & Lopes, R.S. & Scarf, P.A., 2018. "A general inspection and opportunistic replacement policy for one-component systems of variable quality," European Journal of Operational Research, Elsevier, vol. 266(3), pages 911-919.
    8. Scarf, P.A. & Cavalcante, C.A.V. & Lopes, R.S., 2019. "Delay-time modelling of a critical system subject to random inspections," European Journal of Operational Research, Elsevier, vol. 278(3), pages 772-782.
    9. Rajesh Pansare & Gunjan Yadav, 2022. "Repurposing production operations during COVID-19 pandemic by integrating Industry 4.0 and reconfigurable manufacturing practices: an emerging economy perspective," Operations Management Research, Springer, vol. 15(3), pages 1270-1289, December.
    10. Li, Yaping & Xia, Tangbin & Chen, Zhen & Pan, Ershun, 2023. "Multiple degradation-driven preventive maintenance policy for serial-parallel multi-station manufacturing systems," Reliability Engineering and System Safety, Elsevier, vol. 230(C).

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