IDEAS home Printed from https://ideas.repec.org/a/inm/oropre/v9y1961i6p875-885.html
   My bibliography  Save this article

Priority Assignment in Waiting-Line Problems Under Conditions of Misclassification

Author

Listed:
  • S. P. van der Zee

    (Econometric Institute, Netherlands School of Economics, Rotterdam, The Netherlands)

  • H. Theil

    (Econometric Institute, Netherlands School of Economics, Rotterdam, The Netherlands)

Abstract

This article deals with priority assignment in waiting-line problems in case the classification on which the priorities are based is subject to errors. The expected waiting time under this condition is derived for a two-priority single-channel system. The procedure recommended involves the introduction of a “mixed” group for those customers who cannot be classified with certainty in group 1 or group 2, and to allocate such a customer to this group when the probability that he really belongs to group 1 lies in a certain interval, the limits of which are determined by the basic data of the waiting-line problem (mean service times, arrival rates, etc).

Suggested Citation

  • S. P. van der Zee & H. Theil, 1961. "Priority Assignment in Waiting-Line Problems Under Conditions of Misclassification," Operations Research, INFORMS, vol. 9(6), pages 875-885, December.
    • Handle: RePEc:inm:oropre:v:9:y:1961:i:6:p:875-885
    DOI: 10.1287/opre.9.6.875
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/opre.9.6.875
    Download Restriction: no
    File URL: https://libkey.io/10.1287/opre.9.6.875?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. Adam Diamant, 2021. "Dynamic multistage scheduling for patient-centered care plans," Health Care Management Science, Springer, vol. 24(4), pages 827-844, December.
    2. Soroush Saghafian & Wallace J. Hopp & Mark P. Van Oyen & Jeffrey S. Desmond & Steven L. Kronick, 2014. "Complexity-Augmented Triage: A Tool for Improving Patient Safety and Operational Efficiency," Manufacturing & Service Operations Management, INFORMS, vol. 16(3), pages 329-345, July.
    3. Li, Dong & Glazebrook, Kevin D., 2011. "A Bayesian approach to the triage problem with imperfect classification," European Journal of Operational Research, Elsevier, vol. 215(1), pages 169-180, November.
    4. Nilay Tan{i}k Argon & Serhan Ziya, 2009. "Priority Assignment Under Imperfect Information on Customer Type Identities," Manufacturing & Service Operations Management, INFORMS, vol. 11(4), pages 674-693, June.

    More about this item

    Statistics

    Access and download statistics

    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:9:y:1961:i:6:p:875-885. 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.