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Preventive replacement models: an overview and their application in process industries

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  • A.N. Das
  • S.P. Sarmah

Abstract

This paper presents a concise review of the optimisation models for the preventive repair/replacement/inspection of components/assemblies/subsystems with the aim of critically examining their prospects as well as limitations in implementation in heavy process industries. The survey covers models under two major categories: models for single-unit systems and for multi-unit systems. Single-unit models are presented under three subcategories of two-state models, three-state models and multistate models; multi-unit models encompass models for the grouping of component replacements under three types of replacements: corrective, opportunistic and preventive. Each of the models and their variations are followed by a discussion on implementation problems and prospects particularly in process industries. [Received 23 April 2008; Revised 18 February 2009; Revised 01 May 2009; Accepted 04 May 2009]

Suggested Citation

  • A.N. Das & S.P. Sarmah, 2010. "Preventive replacement models: an overview and their application in process industries," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 4(3), pages 280-307.
    • Handle: RePEc:ids:eujine:v:4:y:2010:i:3:p:280-307
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    Citations

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    Cited by:

    1. Ruifeng Yang & Jianshe Kang, 2017. "A joint optimal policy of block preventive replacement and spare part inventory," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(4), pages 740-746, December.
    2. Ruifeng Yang & Jianshe Kang & Qiwei Hu, 2018. "Integrated maintenance policy optimization with finite spares," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(5), pages 1014-1021, October.
    3. Jianwen Guo & Zhenzhong Sun & Hong Tang & Xuejun Jia & Song Wang & Xiaohui Yan & Guoliang Ye & Guohong Wu, 2016. "Hybrid Optimization Algorithm of Particle Swarm Optimization and Cuckoo Search for Preventive Maintenance Period Optimization," Discrete Dynamics in Nature and Society, Hindawi, vol. 2016, pages 1-12, February.
    4. Wang, Wenbin, 2012. "An overview of the recent advances in delay-time-based maintenance modelling," Reliability Engineering and System Safety, Elsevier, vol. 106(C), pages 165-178.
    5. Wen Liang Chang, 2015. "Optimal single-replacement for repairable products with different failure rate under a finite planning horizon," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(6), pages 1003-1009, April.
    6. Gilardoni, Gustavo L. & de Toledo, Maria Luiza Guerra & Freitas, Marta A. & Colosimo, Enrico A., 2016. "Dynamics of an optimal maintenance policy for imperfect repair models," European Journal of Operational Research, Elsevier, vol. 248(3), pages 1104-1112.

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