IDEAS home Printed from https://ideas.repec.org/a/inm/oropre/v44y1996i2p360-367.html
   My bibliography  Save this article

Optimal Scheduling of Fallible Inspections

Author

Listed:
  • Giovanni Parmigiani

    (Duke University, Durham, North Carolina)

Abstract

This paper gives the exact optimal solution to the problem of designing inspection schedules with fallible and time-consuming test procedures. The optimality criterion is designed to achieve a balance between the cost of inspections and the cost of undetected failure. The solution is derived in continuous time, with arbitrary failure distribution, and is based on infinite-horizon dynamic programming with time-dependent utilities, and with an additional optimization with respect to initial conditions. Results include uniqueness and monotonicity properties of the optimal solution, as well as computational algorithms.

Suggested Citation

  • Giovanni Parmigiani, 1996. "Optimal Scheduling of Fallible Inspections," Operations Research, INFORMS, vol. 44(2), pages 360-367, April.
    • Handle: RePEc:inm:oropre:v:44:y:1996:i:2:p:360-367
    DOI: 10.1287/opre.44.2.360
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/opre.44.2.360
    Download Restriction: no
    File URL: https://libkey.io/10.1287/opre.44.2.360?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. Ahmadi, Reza & Wu, Shaomin, 2017. "A novel data-driven approach to optimizing replacement policy," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 506-516.
    2. Leung, Francis Kit-nam, 2001. "Inspection schedules when the lifetime distribution of a single-unit system is completely unknown," European Journal of Operational Research, Elsevier, vol. 132(1), pages 106-115, July.
    3. Alireza Sabouri & Woonghee Tim Huh & Steven M. Shechter, 2017. "Screening Strategies for Patients on the Kidney Transplant Waiting List," Operations Research, INFORMS, vol. 65(5), pages 1131-1146, October.
    4. Michael Jong Kim & Viliam Makis, 2013. "Joint Optimization of Sampling and Control of Partially Observable Failing Systems," Operations Research, INFORMS, vol. 61(3), pages 777-790, June.

    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:44:y:1996:i:2:p:360-367. 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.