IDEAS home Printed from https://ideas.repec.org/a/inm/oropre/v43y1995i5p826-837.html
   My bibliography  Save this article

A Branch-and-Bound Algorithm for Computing Optimal Replacement Policies in K -Out-of- N Systems

Author

Listed:
  • Chia-Shin Chung
  • James Flynn

    (Cleveland State University, Cleveland, Ohio)

Abstract

We study a discrete time, infinite-horizon, dynamic programming model for the replacement of components in a binary coherent system with n components. Costs are incurred when the system fails and when failed components are replaced. The objective is to minimize the expected discounted infinite-horizon cost or the long-run expected average undiscounted cost per period. An earlier paper found general conditions under which it is optimal to follow a critical component policy (CCP), i.e., a policy specified by a critical component set and the rule: Replace a component if and only if it is failed and in the critical component set. Computing an optimal CCP is a binary nonlinear programming problem in n variables. This paper specializes to k -out-of- n systems and develops a branch-and-bound algorithm for finding an optimal decision. Its memory storage requirement is O((n+1)(n-k+1)) , and the number of nodes examined is under O(n k ) . Extensive computational experiments with n ranging from 10 to 100 find it to be effective when k is small or near n . In our 120,000 test problems with k=n (parallel systems), the average computation time on a 20Mhz 386 microcomputer is 0.106 seconds.

Suggested Citation

  • Chia-Shin Chung & James Flynn, 1995. "A Branch-and-Bound Algorithm for Computing Optimal Replacement Policies in K -Out-of- N Systems," Operations Research, INFORMS, vol. 43(5), pages 826-837, October.
  • Handle: RePEc:inm:oropre:v:43:y:1995:i:5:p:826-837
    DOI: 10.1287/opre.43.5.826
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/opre.43.5.826
    Download Restriction: no

    File URL: https://libkey.io/10.1287/opre.43.5.826?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
    ---><---

    Citations

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


    Cited by:

    1. James Flynn & Chia‐Shin Chung, 2002. "A branch and bound algorithm for computing optimal replacement policies in consecutive k‐out‐of‐n‐systems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 49(3), pages 288-302, April.
    2. Chia‐Shin Chung & James Flynn, 1997. "A heuristic algorithm for determining replacement policies in k‐out‐of‐n systems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 44(3), pages 273-286, April.

    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:inm:oropre:v:43:y:1995:i:5:p:826-837. 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 Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.