IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v102y2001i1p179-19610.1023-a1010958200070.html
   My bibliography  Save this article

An Exact Procedure for the Resource-Constrained Weighted Earliness–Tardiness Project Scheduling Problem

Author

Listed:
  • Mario Vanhoucke
  • Erik Demeulemeester
  • Willy Herroelen

Abstract

In this paper we study the resource-constrained project scheduling problem with weighted earliness–tardinesss penalty costs. Project activities are assumed to have a known deterministic due date, a unit earliness as well as a unit tardiness penalty cost and constant renewable resource requirements. The objective is to schedule the activities in order to minimize the total weighted earliness–tardinesss penalty cost of the project subject to the finish–start precedence constraints and the constant renewable resource availability constraints. With these features the problem becomes highly attractive in just-in-time environments. We introduce a depth-first branch-and-bound algorithm which makes use of extra precedence relations to resolve resource conflicts and relies on a fast recursive search algorithm for the unconstrained weighted earliness–tardinesss problem to compute lower bounds. The procedure has been coded in Visual C++, version 4.0 under Windows NT. Both the recursive search algorithm and the branch-and-bound procedure have been validated on a randomly generated problem set. Copyright Kluwer Academic Publishers 2001

Suggested Citation

  • Mario Vanhoucke & Erik Demeulemeester & Willy Herroelen, 2001. "An Exact Procedure for the Resource-Constrained Weighted Earliness–Tardiness Project Scheduling Problem," Annals of Operations Research, Springer, vol. 102(1), pages 179-196, February.
    • Handle: RePEc:spr:annopr:v:102:y:2001:i:1:p:179-196:10.1023/a:1010958200070
    DOI: 10.1023/A:1010958200070
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1023/A:1010958200070
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1023/A:1010958200070?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Lei Lei & Michael Pinedo & Lian Qi & Shengbin Wang & Jian Yang, 2015. "Personnel scheduling and supplies provisioning in emergency relief operations," Annals of Operations Research, Springer, vol. 235(1), pages 487-515, December.
    2. E. Demeulemeester & F. Deblaere & J. Herbots & O. Lambrechts & S. Van de Vonder, 2007. "A Multi-level Approach to Project Management under Uncertainty," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business (FEB), Review of Business and Economic Literature, vol. 0(3), pages 391-409.
    3. Fernando Jaramillo & Busra Keles & Murat Erkoc, 2020. "Modeling single machine preemptive scheduling problems for computational efficiency," Annals of Operations Research, Springer, vol. 285(1), pages 197-222, February.
    4. Carlo Mannino & Alessandro Mascis, 2009. "Optimal Real-Time Traffic Control in Metro Stations," Operations Research, INFORMS, vol. 57(4), pages 1026-1039, August.
    5. Feifei Li & Zhe Xu, 2018. "A multi-agent system for distributed multi-project scheduling with two-stage decomposition," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-24, October.
    6. Hartmann, Sönke & Briskorn, Dirk, 2010. "A survey of variants and extensions of the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 207(1), pages 1-14, November.
    7. Androutsopoulos, Konstantinos N. & Manousakis, Eleftherios G. & Madas, Michael A., 2020. "Modeling and solving a bi-objective airport slot scheduling problem," European Journal of Operational Research, Elsevier, vol. 284(1), pages 135-151.

    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:spr:annopr:v:102:y:2001:i:1:p:179-196:10.1023/a:1010958200070. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.