IDEAS home Printed from
   My bibliography  Save this article

Note---On "Optimizing Field Repair Kits Based on Job Completion Rate"


  • Salvatore T. March

    (School of Management, University of Minnesota, Minneapolis, Minnesota 55455)

  • Gary D. Scudder

    (School of Management, University of Minnesota, Minneapolis, Minnesota 55455)


In a recent paper, Mamer and Smith (Mamer, J. W., S. A. Smith. 1982. Optimizing field repair kits based on job completion rate. Management Sci. 28 (11) 1328--1333.) presented a formulation for determining the optimal kit of parts and tools for on-site equipment repairs under a job completion criterion. The optimal kit minimizes the sum of expected broken job costs plus the annual inventory holding cost for those parts stocked. A broken job occurs whenever a repair cannot be completed because one or more of its required parts are not included in the field repair kit. Assuming equal penalties for all broken jobs, an algorithm developed by Eisner and Severance (Eisner, M. J., D. G. Severance. 1976. Mathematical techniques for efficient record segmentation in large shared databases. J. Assoc. Comput. Mach. 23 (4) 619--635.) in a different context can be used to determine a set of optimal policies and a range on the penalty cost for which each policy is optimal. The ranges cover all penalty costs from 0 to \infty . This is significant for the repair kit problem since the actual penalty cost of broken jobs may be difficult to determine exactly.

Suggested Citation

  • Salvatore T. March & Gary D. Scudder, 1984. "Note---On "Optimizing Field Repair Kits Based on Job Completion Rate"," Management Science, INFORMS, vol. 30(8), pages 1025-1028, August.
  • Handle: RePEc:inm:ormnsc:v:30:y:1984:i:8:p:1025-1028

    Download full text from publisher

    File URL:
    Download Restriction: no


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

    Cited by:

    1. repec:pal:jorsoc:v:56:y:2005:i:7:d:10.1057_palgrave.jors.2601913 is not listed on IDEAS
    2. repec:eee:ejores:v:261:y:2017:i:3:p:893-902 is not listed on IDEAS
    3. Liu, Ke & Li, Jing-An & Lai, Kin Keung, 2004. "Single period, single product newsvendor model with random supply shock," European Journal of Operational Research, Elsevier, vol. 158(3), pages 609-625, November.


    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:ormnsc:v:30:y:1984:i:8:p:1025-1028. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mirko Janc). General contact details of provider: .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.