IDEAS home Printed from https://ideas.repec.org/a/ete/revbec/20070303.html
   My bibliography  Save this article

Resource Allocation in Activity Networks under Stochastic Conditions. A Geometric Programming-Sample Path Optimization Approach

Author

Listed:
  • S.E. Elmaghraby
  • C.D. Morgan

Abstract

We depart from the conventional ‘resource constrained project scheduling problem’, better known under the acronym RCPSP, by adding the element of randomness to the activities. In particular, we assume that each activity in the project has a work content that is exponentially distributed. The duration of an activity is then modeled as a function of the random work content and the allocated resources; the exact functional relationship can be arbitrarily defined. The stochastic optimization problem is approached by a method that is a ‘marriage’ between geometric programming (GP) and sample path optimization (SPO) that is flexible and can be implemented in a modular fashion.

Suggested Citation

  • S.E. Elmaghraby & C.D. Morgan, 2007. "Resource Allocation in Activity Networks under Stochastic Conditions. A Geometric Programming-Sample Path Optimization Approach," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business (FEB), Review of Business and Economic Literature, vol. 0(3), pages 367-390.
    • Handle: RePEc:ete:revbec:20070303
    as

    Download full text from publisher

    File URL: http://feb.kuleuven.be/rebel/jaargangen/2001-2010/2007/TEM%202007-3/TEM_07-3-04_Elmaghraby.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Godinho, Pedro & Branco, Fernando G., 2012. "Adaptive policies for multi-mode project scheduling under uncertainty," European Journal of Operational Research, Elsevier, vol. 216(3), pages 553-562.

    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:ete:revbec:20070303. 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: library EBIB (email available below). General contact details of provider: https://edirc.repec.org/data/fekulbe.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.