IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v14y2023i4d10.1007_s13198-023-01938-9.html
   My bibliography  Save this article

Age replacement and inspection models for estimating optimal maintenance cost: numerical performance comparisons with a case study from chemical industries

Author

Listed:
  • Yassine Eddouh

    (Chouaib Doukkali University)

  • Abdelmajid Daya

    (Moulay Ismail University of Meknes)

  • Rabie Elotmani

    (Chouaib Doukkali University)

  • Abdelhamid Touache

    (Sidi Mohamed Ben Abdellah University)

Abstract

Regular preventive maintenance activities such as inspections and replacements are crucial for ensuring the optimal performance of operating units, even though they may lead to higher maintenance costs. In this context, this paper presents a comparative study of two maintenance strategies, namely the age replacement model and the inspection model, using the maintenance expected cost as the primary criterion. The study evaluates both models for Weibull and Gamma distributions with increasing hazard failure rates. A numerical sensitivity analysis is performed to compare the models and determine the optimal strategy by combining cost per distribution. The study also examines the impact of varying parameters the shape parameter, preventive maintenance cost, failure cost, and inspection cost on the expected cost. The proposed models are applied to model the maintenance of a centrifugal pump, first as a single-component system and then as a 5-independent component system. Results indicate that the inspection model is more advantageous and provides better outcomes in terms of minimizing servicing costs for individual maintenance strategies. The study highlights the importance of carefully selecting appropriate replacement and inspection models to ensure efficient and cost-effective maintenance management of the system, which can significantly reduce servicing costs. The findings of this study can assist maintainers in selecting the best maintenance strategy for their systems.

Suggested Citation

  • Yassine Eddouh & Abdelmajid Daya & Rabie Elotmani & Abdelhamid Touache, 2023. "Age replacement and inspection models for estimating optimal maintenance cost: numerical performance comparisons with a case study from chemical industries," 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. 14(4), pages 1354-1369, August.
    • Handle: RePEc:spr:ijsaem:v:14:y:2023:i:4:d:10.1007_s13198-023-01938-9
    DOI: 10.1007/s13198-023-01938-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-023-01938-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13198-023-01938-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zhang, Fengxia & Shen, Jingyuan & Liao, Haitao & Ma, Yizhong, 2021. "Optimal preventive maintenance policy for a system subject to two-phase imperfect inspections," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    2. Mohamed Larbi Rebaiaia & Daoud Ait-kadi, 2021. "Maintenance policies with minimal repair and replacement on failures: analysis and comparison," International Journal of Production Research, Taylor & Francis Journals, vol. 59(23), pages 6995-7017, December.
    3. Fabio Sgarbossa & Ilenia Zennaro & Eleonora Florian & Martina Calzavara, 2020. "Age replacement policy in the case of no data: the effect of Weibull parameter estimation," International Journal of Production Research, Taylor & Francis Journals, vol. 58(19), pages 5851-5869, October.
    4. Hongzhou Wang & Hoang Pham, 2006. "Reliability and Optimal Maintenance," Springer Series in Reliability Engineering, Springer, number 978-1-84628-325-3, February.
    5. Zhao, Xian & Sun, Jinglei & Qiu, Qingan & Chen, Ke, 2021. "Optimal inspection and mission abort policies for systems subject to degradation," European Journal of Operational Research, Elsevier, vol. 292(2), pages 610-621.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Finkelstein, Maxim & Cha, Ji Hwan & Langston, Amy, 2023. "Improving classical optimal age-replacement policies for degrading items," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    2. Cha, Ji Hwan & Finkelstein, Maxim, 2024. "Preventive maintenance for the constrained multi-attempt minimal repair," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    3. Finkelstein, Maxim & Cha, Ji Hwan & Bedford, Tim, 2023. "Optimal preventive maintenance strategy for populations of systems that generate outputs," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    4. Asadzadeh, S.M. & Azadeh, A., 2014. "An integrated systemic model for optimization of condition-based maintenance with human error," Reliability Engineering and System Safety, Elsevier, vol. 124(C), pages 117-131.
    5. Hashemi, M. & Asadi, M. & Zarezadeh, S., 2020. "Optimal maintenance policies for coherent systems with multi-type components," Reliability Engineering and System Safety, Elsevier, vol. 195(C).
    6. Yuqian Xu & Lingjiong Zhu & Michael Pinedo, 2020. "Operational Risk Management: A Stochastic Control Framework with Preventive and Corrective Controls," Operations Research, INFORMS, vol. 68(6), pages 1804-1825, November.
    7. Izquierdo, J. & Márquez, A. Crespo & Uribetxebarria, J. & Erguido, A., 2020. "On the importance of assessing the operational context impact on maintenance management for life cycle cost of wind energy projects," Renewable Energy, Elsevier, vol. 153(C), pages 1100-1110.
    8. Zhao, Xian & He, Zongda & Wu, Yaguang & Qiu, Qingan, 2022. "Joint optimization of condition-based performance control and maintenance policies for mission-critical systems," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    9. Ben Mabrouk, A. & Chelbi, A. & Radhoui, M., 2016. "Optimal imperfect maintenance strategy for leased equipment," International Journal of Production Economics, Elsevier, vol. 178(C), pages 57-64.
    10. Liu, Lujie & Yang, Jun, 2023. "A dynamic mission abort policy for the swarm executing missions and its solution method by tailored deep reinforcement learning," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    11. Ji Hwan Cha & Maxim Finkelstein, 2020. "On optimal life extension for degrading systems," Journal of Risk and Reliability, , vol. 234(3), pages 487-495, June.
    12. Levitin, Gregory & Xing, Liudong & Dai, Yuanshun, 2023. "Optimal aborting policy for shock exposed missions with random rescue time," Reliability Engineering and System Safety, Elsevier, vol. 233(C).
    13. Maxim Finkelstein & Ji Hwan Cha, 2022. "Reducing degradation and age of items in imperfect repair modeling," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 31(4), pages 1058-1081, December.
    14. Chengye Ma & Yongjun Du & Lijun Shang & Li Yang & Kaiye Gao, 2023. "Random Maintenance Strategy Modeling of Warranted Products with Reliability Heterogeneity," Sustainability, MDPI, vol. 15(18), pages 1-19, September.
    15. Bouslah, B. & Gharbi, A. & Pellerin, R., 2016. "Integrated production, sampling quality control and maintenance of deteriorating production systems with AOQL constraint," Omega, Elsevier, vol. 61(C), pages 110-126.
    16. Panagiotis H. Tsarouhas & George K. Fourlas, 2016. "Mission reliability estimation of mobile robot system," 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. 7(2), pages 220-228, June.
    17. López-González, A. & Domenech, B. & Ferrer-Martí, L., 2018. "Sustainability and design assessment of rural hybrid microgrids in Venezuela," Energy, Elsevier, vol. 159(C), pages 229-242.
    18. Santos, Augusto César de Jesus & Cavalcante, Cristiano Alexandre Virgínio, 2022. "A study on the economic and environmental viability of second-hand items in maintenance policies," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    19. Ke Chen & Xian Zhao & Qingan Qiu, 2022. "Optimal Task Abort and Maintenance Policies Considering Time Redundancy," Mathematics, MDPI, vol. 10(9), pages 1-16, April.
    20. Levitin, Gregory & Xing, Liudong & Dai, Yuanshun, 2022. "Optimal mission aborting in multistate systems with storage," Reliability Engineering and System Safety, Elsevier, vol. 218(PA).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ijsaem:v:14:y:2023:i:4:d:10.1007_s13198-023-01938-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.