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Continuous improvement of imperfect maintenance actions in PAS and PAR models

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  • Thiago Lima de Barros
  • Rodrigo Sampaio Lopes

Abstract

In this paper, an unavailability model is proposed to define the test and maintenance policies of systems that are subject to hidden failure and degradation, assuming practices of continuous improvement (CI) under imperfect maintenance actions with Proportional Age Setback (PAS) and Proportional Age Reduction (PAR). For this, two CI equations are analyzed to estimate the progress of maintenance effectiveness over time, and a maximum unavailability constraint is incorporated into the model for evaluation of safety point of view. A numerical application was performed, and the results showed that by adopting CI practices over maintenance actions, the unavailability of the system is reduced in greater proportion over time, besides contributing positively to safety.

Suggested Citation

  • Thiago Lima de Barros & Rodrigo Sampaio Lopes, 2021. "Continuous improvement of imperfect maintenance actions in PAS and PAR models," Journal of Risk and Reliability, , vol. 235(5), pages 941-958, October.
    • Handle: RePEc:sae:risrel:v:235:y:2021:i:5:p:941-958
    DOI: 10.1177/1748006X211001671
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    References listed on IDEAS

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    1. Souraj Salah & Juan A. Carretero & Abdur Rahim, 2010. "The integration of quality management and continuous improvement methodologies with management systems," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 6(3), pages 269-288.
    2. S. Martorell & P. Martorell & A. I. Sánchez & R. Mullor & I. Martón, 2017. "Parameter Estimation of a Reliability Model of Demand-Caused and Standby-Related Failures of Safety Components Exposed to Degradation by Demand Stress and Ageing That Undergo Imperfect Maintenance," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-11, December.
    3. V. Jayabalan & Dipak Chaudhuri, 1992. "Optimal maintenance and replacement policy for a deteriorating system with increased mean downtime," Naval Research Logistics (NRL), John Wiley & Sons, vol. 39(1), pages 67-78, February.
    4. Pham, Hoang & Wang, Hongzhou, 1996. "Imperfect maintenance," European Journal of Operational Research, Elsevier, vol. 94(3), pages 425-438, November.
    5. MERCIER, Sophie & CASTRO, I.T., 2019. "Stochastic comparisons of imperfect maintenance models for a gamma deteriorating system," European Journal of Operational Research, Elsevier, vol. 273(1), pages 237-248.
    6. Upton, David, 1996. "Mechanisms for building and sustaining operations improvement," European Management Journal, Elsevier, vol. 14(3), pages 215-228, June.
    7. Martón, I. & Martorell, P. & Mullor, R. & Sánchez, A.I. & Martorell, S., 2016. "Optimization of test and maintenance of ageing components consisting of multiple items and addressing effectiveness," Reliability Engineering and System Safety, Elsevier, vol. 153(C), pages 151-158.
    8. Hongzhou Wang & Hoang Pham, 2006. "Reliability and Optimal Maintenance," Springer Series in Reliability Engineering, Springer, number 978-1-84628-325-3, March.
    9. Sanchez, Ana & Carlos, Sofia & Martorell, Sebastian & Villanueva, Jose F., 2009. "Addressing imperfect maintenance modelling uncertainty in unavailability and cost based optimization," Reliability Engineering and System Safety, Elsevier, vol. 94(1), pages 22-32.
    10. Do, Phuc & Voisin, Alexandre & Levrat, Eric & Iung, Benoit, 2015. "A proactive condition-based maintenance strategy with both perfect and imperfect maintenance actions," Reliability Engineering and System Safety, Elsevier, vol. 133(C), pages 22-32.
    11. Zhou, Xiaojun & Wu, Changjie & Li, Yanting & Xi, Lifeng, 2016. "A preventive maintenance model for leased equipment subject to internal degradation and external shock damage," Reliability Engineering and System Safety, Elsevier, vol. 154(C), pages 1-7.
    12. Zhao, Xiujie & He, Shuguang & Xie, Min, 2018. "Utilizing experimental degradation data for warranty cost optimization under imperfect repair," Reliability Engineering and System Safety, Elsevier, vol. 177(C), pages 108-119.
    13. KanÄ ev, DuÅ¡ko & Gjorgiev, Blaže & Volkanovski, Andrija & ÄŒepin, Marko, 2016. "Time-dependent unavailability of equipment in an ageing NPP: Sensitivity study of a developed model," Reliability Engineering and System Safety, Elsevier, vol. 148(C), pages 11-20.
    14. Martorell, P. & Martón, I. & Sánchez, A.I. & Martorell, S., 2017. "Unavailability model for demand-caused failures of safety components addressing degradation by demand-induced stress, maintenance effectiveness and test efficiency," Reliability Engineering and System Safety, Elsevier, vol. 168(C), pages 18-27.
    15. Yaping Li & Zhen Chen & Ershun Pan, 2018. "Joint Economic Design of CUSUM Control Chart and Age-Based Imperfect Preventive Maintenance Policy," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-11, June.
    16. Martón, I. & Sánchez, A.I. & Martorell, S., 2015. "Ageing PSA incorporating effectiveness of maintenance and testing," Reliability Engineering and System Safety, Elsevier, vol. 139(C), pages 131-140.
    17. A. Khatab, 2018. "Maintenance optimization in failure-prone systems under imperfect preventive maintenance," Journal of Intelligent Manufacturing, Springer, vol. 29(3), pages 707-717, March.
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