IDEAS home Printed from https://ideas.repec.org/a/pal/jorsoc/v52y2001i7d10.1057_palgrave.jors.2601157.html
   My bibliography  Save this article

The development of a hybrid intelligent maintenance optimisation system (HIMOS)

Author

Listed:
  • K A H Kobbacy

    (University of Salford)

  • J Jeon

    (University of Salford)

Abstract

This paper reports on the development of a hybrid intelligent maintenance optimisation system (HIMOS) for decision support. It is a follow-up to an earlier paper published in the Journal of the Operational Research Society in 1995. Both papers refer to systems where there are very many components which may break down independently. When a component breaks down, corrective action (CO) is required. The problem is to determine the optimal maintenance policy, essentially the frequency of preventive maintenance (PM) which minimises the sum of down time due to PM and CO. HIMOS, like its predecessor IMOS, uses an ‘intelligent’ decision support system to carry out an automated analysis of the maintenance history data. Maintenance data are presented to the system and the most suitable mathematical model from a model-base is identified utilising a hybrid knowledge/case based system (KBS/CBR). Thus initially a rule base is applied to select a model, as in the case of IMOS. If no model is matched, the system reverts to its historical case-base to match the current case with a similar case that has been previously modelled. This double reasoning adds to the system's true learning capabilities (intelligence) and increases the rate of success of model selection. A prototype system is written in Visual Basic® for an IBM compatible PC. The study results include optimal PM intervals for a sample of industrial data sets. The results of the validation exercise of HIMOS against expert advice has shown that the system functions satisfactorily.

Suggested Citation

  • K A H Kobbacy & J Jeon, 2001. "The development of a hybrid intelligent maintenance optimisation system (HIMOS)," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 52(7), pages 762-778, July.
    • Handle: RePEc:pal:jorsoc:v:52:y:2001:i:7:d:10.1057_palgrave.jors.2601157
    DOI: 10.1057/palgrave.jors.2601157
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/palgrave.jors.2601157
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/palgrave.jors.2601157?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.

    Citations

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


    Cited by:

    1. Pascual, R. & Meruane, V. & Rey, P.A., 2008. "On the effect of downtime costs and budget constraint on preventive and replacement policies," Reliability Engineering and System Safety, Elsevier, vol. 93(1), pages 144-151.
    2. G Beddoe & S Petrovic, 2007. "Enhancing case-based reasoning for personnel rostering with selected tabu search concepts," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(12), pages 1586-1598, December.
    3. M J Carr & A H Christer, 2003. "Incorporating the potential for human error in maintenance models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(12), pages 1249-1253, December.

    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:pal:jorsoc:v:52:y:2001:i:7:d:10.1057_palgrave.jors.2601157. 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.palgrave-journals.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.