IDEAS home Printed from https://ideas.repec.org/a/taf/uiiexx/v54y2022i9p894-907.html
   My bibliography  Save this article

Service-oriented global optimization integrating maintenance grouping and technician routing for multi-location multi-unit production systems

Author

Listed:
  • Guojin Si
  • Tangbin Xia
  • Ershun Pan
  • Lifeng Xi

Abstract

With the product-service requirement of modern production enterprises, service-oriented manufacturing and its corresponding operations and maintenance have gained growing attention. Advances in sensor technology and wireless communication, promoting lessors to propose new strategies for intelligent maintenance decision-making of geographically distributed manufacturing enterprises. In this article, we present a comprehensive strategy for solving the maintenance grouping and technician routing problem of multi-location multi-unit production systems. Based on real-time machine degradation, we estimate the failure rate of leased machines and establish a time-varying maintenance cost function to quantify the trade-off between early maintenance and delayed maintenance. Unlike group maintenance of a single system, we integrate the travel time between systems and the maintenance capacity of technician teams into a mixed-integer optimization model to provide the dynamic preventive maintenance scheme. Finally, numerical examples are employed to illustrate the effectiveness of the proposed strategy and explore some managerial insights for the lessor’s daily management.

Suggested Citation

  • Guojin Si & Tangbin Xia & Ershun Pan & Lifeng Xi, 2022. "Service-oriented global optimization integrating maintenance grouping and technician routing for multi-location multi-unit production systems," IISE Transactions, Taylor & Francis Journals, vol. 54(9), pages 894-907, June.
    • Handle: RePEc:taf:uiiexx:v:54:y:2022:i:9:p:894-907
    DOI: 10.1080/24725854.2021.1957181
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/24725854.2021.1957181
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/24725854.2021.1957181?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.

    More about this item

    Statistics

    Access and download statistics

    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:taf:uiiexx:v:54:y:2022:i:9:p:894-907. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/uiie .

    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.