IDEAS home Printed from https://ideas.repec.org/h/spr/ssrchp/978-3-031-53514-7_3.html
   My bibliography  Save this book chapter

Maintenance Strategies and Optimization Techniques

In: Advances in Computational Mathematics for Industrial System Reliability and Maintainability

Author

Listed:
  • Mohammad Yazdi

    (Macquarie University)

Abstract

In today’s technologically driven world, the efficiency and longevity of machinery, equipment, and systems are paramount. The chapter maintenance Strategies and Optimization Techniques discusses the core methodologies and approaches organizations can adopt to ensure their assets' optimal performance and extended lifespan. This study highlights the principal maintenance strategies, such as preventive, predictive, reactive, and proactive maintenance, detailing their benefits and limitations. Furthermore, we introduce advanced optimization techniques like condition-based monitoring, reliability-centered maintenance, and the use of artificial intelligence in predictive analysis. By integrating these strategies with the latest optimization tools, organizations can minimize downtime, reduce costs, and enhance their systems' overall productivity and longevity. Through case studies and real-world applications, this research provides actionable insights for industries looking to bolster their maintenance regimes and achieve operational excellence.

Suggested Citation

  • Mohammad Yazdi, 2024. "Maintenance Strategies and Optimization Techniques," Springer Series in Reliability Engineering, in: Advances in Computational Mathematics for Industrial System Reliability and Maintainability, chapter 0, pages 43-58, Springer.
    • Handle: RePEc:spr:ssrchp:978-3-031-53514-7_3
    DOI: 10.1007/978-3-031-53514-7_3
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:ssrchp:978-3-031-53514-7_3. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.