IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i9p4917-d544707.html
   My bibliography  Save this article

Relations of Imperfect Repairs to Critical Infrastructure Maintenance Costs

Author

Listed:
  • Agnieszka Blokus

    (Department of Mathematics, Faculty of Navigation, Gdynia Maritime University, 81-87 Morska St., 81-225 Gdynia, Poland)

  • Przemysław Dziula

    (Department of Navigation, Faculty of Navigation, Gdynia Maritime University, 3 Al. Jana Pawła II St., 81-225 Gdynia, Poland)

Abstract

This article presents an analysis of maintenance costs and maintenance policy of critical infrastructure systems, considering the case of imperfect repair. The maintenance costs of the systems, considering a multistate approach and imperfect repairs, are analyzed with reference to the renewal stream and renewal process theory. Availability characteristics of repairable critical infrastructure systems with non-negligible renovation time, necessary for the cost analysis, are determined based on classical renewal theory. We assume that the system is renewed after exceeding its critical reliability state. The multistate approach proposed to availability analysis, including imperfect repairs, allows considering various configurations of the system’s renewals. The procedure for determining the total cost of maintenance up to certain point in time is proposed. Furthermore, the procedure comparing the costs of repair and operation of the system until a certain moment for different configurations of the number of repairs to various reliability states is put forward and its exemplary application is presented. Conducting perfect renewals of infrastructure to the state of entire availability seems to be the most profitable in the case study analyzed in the article. The exception is when imperfect repairs are much cheaper than perfect repairs (they are up to half of the perfect repair cost), or when costs of an infrastructure’s renewals are considered in the short period of its exploitation (up to one year). The summary provides a conclusion on maintenance policy based on the proposed procedure analysis and a comparison of maintenance costs for various configurations of perfect and imperfect repairs.

Suggested Citation

  • Agnieszka Blokus & Przemysław Dziula, 2021. "Relations of Imperfect Repairs to Critical Infrastructure Maintenance Costs," Sustainability, MDPI, vol. 13(9), pages 1-19, April.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:9:p:4917-:d:544707
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/9/4917/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/9/4917/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Adolfo Crespo Márquez, 2007. "The Maintenance Management Framework," Springer Series in Reliability Engineering, Springer, number 978-1-84628-821-0, December.
    2. Shaomin Wu & Frank P. A. Coolen & Bin Liu, 2017. "Optimization of maintenance policy under parameter uncertainty using portfolio theory," IISE Transactions, Taylor & Francis Journals, vol. 49(7), pages 711-721, July.
    3. Rehak, David & Senovsky, Pavel & Hromada, Martin & Lovecek, Tomas, 2019. "Complex approach to assessing resilience of critical infrastructure elements," International Journal of Critical Infrastructure Protection, Elsevier, vol. 25(C), pages 125-138.
    4. Chuanzhou Jia & Chi Zhang, 2020. "Joint optimization of maintenance planning and workforce routing for a geographically distributed networked infrastructure," IISE Transactions, Taylor & Francis Journals, vol. 52(7), pages 732-750, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mehrdad Aslani & Hamed Hashemi-Dezaki & Abbas Ketabi, 2021. "Reliability Evaluation of Smart Microgrids Considering Cyber Failures and Disturbances under Various Cyber Network Topologies and Distributed Generation’s Scenarios," Sustainability, MDPI, vol. 13(10), pages 1-30, May.
    2. Jarosław Łukasiak & Adam Rosiński & Michał Wiśnios, 2022. "The Issue of Evaluating the Effectiveness of Miniature Safety Fuses as Anti-Damage Systems," Energies, MDPI, vol. 15(11), pages 1-18, May.
    3. Jacek Paś & Adam Rosiński & Michał Wiśnios & Marek Stawowy, 2022. "Assessing the Operation System of Fire Alarm Systems for Detection Line and Circuit Devices with Various Damage Intensities," Energies, MDPI, vol. 15(9), pages 1-23, April.

    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. Tibor Sipos & Zsombor Szabó & Mohammed Obaid & Árpád Török, 2023. "Disaster Risk Assessment Scheme—A Road System Survey for Budapest," Sustainability, MDPI, vol. 15(8), pages 1-18, April.
    2. Niu, Gang & Yang, Bo-Suk & Pecht, Michael, 2010. "Development of an optimized condition-based maintenance system by data fusion and reliability-centered maintenance," Reliability Engineering and System Safety, Elsevier, vol. 95(7), pages 786-796.
    3. Ahmadi, Somayeh & Saboohi, Yadollah & Vakili, Ali, 2021. "Frameworks, quantitative indicators, characters, and modeling approaches to analysis of energy system resilience: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    4. Poulin, Craig & Kane, Michael B., 2021. "Infrastructure resilience curves: Performance measures and summary metrics," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    5. Hadi Alizadeh & Ayyoob Sharifi, 2020. "Assessing Resilience of Urban Critical Infrastructure Networks: A Case Study of Ahvaz, Iran," Sustainability, MDPI, vol. 12(9), pages 1-20, May.
    6. Chen, Weiyi & Zhang, Limao, 2021. "Resilience assessment of regional areas against earthquakes using multi-source information fusion," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    7. Katarzyna Rostek & Michał Wiśniewski & Witold Skomra, 2022. "Analysis and Evaluation of Business Continuity Measures Employed in Critical Infrastructure during the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(22), pages 1-22, November.
    8. Alena Splichalova & David Patrman & Nikol Kotalova & Martin Hromada, 2020. "Managerial Decision Making in Indicating a Disruption of Critical Infrastructure Element Resilience," Administrative Sciences, MDPI, vol. 10(3), pages 1-18, September.
    9. David Rehak & Simona Slivkova & Heidi Janeckova & Dominika Stuberova & Martin Hromada, 2022. "Strengthening Resilience in the Energy Critical Infrastructure: Methodological Overview," Energies, MDPI, vol. 15(14), pages 1-14, July.
    10. Mottahedi, Adel & Sereshki, Farhang & Ataei, Mohammad & Qarahasanlou, Ali Nouri & Barabadi, Abbas, 2021. "Resilience estimation of critical infrastructure systems: Application of expert judgment," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    11. Michal Titko & Jozef Ristvej, 2020. "Assessing Importance of Disaster Preparedness Factors for Sustainable Disaster Risk Management: The Case of the Slovak Republic," Sustainability, MDPI, vol. 12(21), pages 1-20, November.
    12. Li-Pin Chi & Zheng-Yun Zhuang & Chen-Hua Fu & Jen-Hung Huang, 2018. "A Knowledge Discovery Education Framework Targeting the Effective Budget Use and Opinion Explorations in Designing Specific High Cost Product," Sustainability, MDPI, vol. 10(8), pages 1-37, August.
    13. Martin Hromada & David Rehak & Ludek Lukas, 2021. "Resilience Assessment in Electricity Critical Infrastructure from the Point of View of Converged Security," Energies, MDPI, vol. 14(6), pages 1-20, March.
    14. Jafar Ahmadi & H. N. Nagaraja, 2020. "Conditional properties of a random sample given an order statistic," Statistical Papers, Springer, vol. 61(5), pages 1971-1996, October.
    15. Bhandari, Pratik & Creighton, Douglas & Gong, Jinzhe & Boyle, Carol & Law, Kris M.Y., 2023. "Evolution of cyber-physical-human water systems: Challenges and gaps," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    16. Yang, Jun & Huang, Leixiong & Ma, Haoming & Xu, Zhihui & Yang, Ming & Guo, Shaoqiang, 2022. "A 2D-graph model-based heuristic approach to visual backtracking security vulnerabilities in physical protection systems," International Journal of Critical Infrastructure Protection, Elsevier, vol. 38(C).
    17. Si, Guojin & Xia, Tangbin & Gebraeel, Nagi & Wang, Dong & Pan, Ershun & Xi, Lifeng, 2022. "A reliability-and-cost-based framework to optimize maintenance planning and diverse-skilled technician routing for geographically distributed systems," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    18. Jafar-Zanjani, Hamed & Zandieh, Mostafa & Sharifi, Mani, 2022. "Robust and resilient joint periodic maintenance planning and scheduling in a multi-factory network under uncertainty: A case study," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    19. Jia, Chuanzhou & Zhang, Chi & Li, Yan-Fu & Li, Quan-Lin, 2023. "Joint pre- and post-disaster planning to enhance the resilience of critical infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    20. Muller, Alexandre & Crespo Marquez, Adolfo & Iung, Benoît, 2008. "On the concept of e-maintenance: Review and current research," Reliability Engineering and System Safety, Elsevier, vol. 93(8), pages 1165-1187.

    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:gam:jsusta:v:13:y:2021:i:9:p:4917-:d:544707. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.