IDEAS home Printed from https://ideas.repec.org/a/inm/oropre/v20y1972i2p309-317.html
   My bibliography  Save this article

A Probabilistic Model for Optimal Project Scheduling

Author

Listed:
  • Michael Rubinovitch

    (Bell Telephone Laboratories Inc., Holmdel, New Jersey, and Technion-Israel Institute of Technology, Haifa, Israel)

Abstract

This paper formulates a model for the scheduling and control of a multiphase project that consists of a given sequence of jobs to be completed by a specified due date. The duration of each job is the sum of a known fixed time and a random delay; and, while the former may be shortened within given limits, there is no control over the latter. The decision variables are the level of activity in each job and the starting time of the first in the sequence. An optimal decision policy for this model is obtained assuming a simple cost structure. It is shown that, if this policy is followed, a minimum a priori probability of meeting the due date is guaranteed.

Suggested Citation

  • Michael Rubinovitch, 1972. "A Probabilistic Model for Optimal Project Scheduling," Operations Research, INFORMS, vol. 20(2), pages 309-317, April.
    • Handle: RePEc:inm:oropre:v:20:y:1972:i:2:p:309-317
    DOI: 10.1287/opre.20.2.309
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/opre.20.2.309
    Download Restriction: no
    File URL: https://libkey.io/10.1287/opre.20.2.309?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
    ---><---

    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:20:y:1972:i:2:p:309-317. 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.