• DocumentCode
    554452
  • Title

    Optimal repair resource assignment strategy for partial failed systems

  • Author

    Zhengjun Wang

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Shenzhen Polytech., Shenzhen, China
  • Volume
    3
  • fYear
    2011
  • fDate
    12-14 Aug. 2011
  • Firstpage
    1451
  • Lastpage
    1454
  • Abstract
    The situation that arises in the maintenance of systems which operate continuously and possess limited repair capacity can be modeled. Since the number of available repairmen is less than the number of components, the performance of the system depends on the maintenance policy employed, whenever the number of failed components is greater than the number of available repairmen. Thus it is important to have maintenance policies that yield a maximum value to some relevant measure of system performance. The components in most classic repairman problems can be only in two states, functioning or failed, while failed components are not always totally unusable in practice. The concept of extra cost is introduced to describe the damage caused by this partial failure. In this study, it come up with general rules about how to decide the optimum repairman assignment policy for two types of maintenance service, namely, preemptive and nonpreemptive, in the term of minimizing the average extra cost.
  • Keywords
    maintenance engineering; failed component; maintenance policy; maintenance service; optimal repair resource assignment strategy; optimum repairman assignment policy; partial failed system; partial failure; repair capacity; repairman problem; Equations; Hafnium; Maintenance engineering; Operations research; Resource management; Servers; Vehicles; maintenance service; modeling; optimal assignment policy; partial failure; resource allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
  • Conference_Location
    Harbin, Heilongjiang, China
  • Print_ISBN
    978-1-61284-087-1
  • Type

    conf

  • DOI
    10.1109/EMEIT.2011.6023321
  • Filename
    6023321