IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v34y1988i2p254-260.html
   My bibliography  Save this article

Note---A Branch-and-Bound Approach to the Bicriterion Scheduling Problem Involving Total Flowtime and Range of Lateness

Author

Listed:
  • Tapan Sen

    (Department of Management, University of Tennessee, Chattanooga, Tennessee 37403)

  • Farhad M. E. Raiszadeh

    (Department of Management, University of Tennessee, Chattanooga, Tennessee 37403)

  • Parthasarati Dileepan

    (Department of Management, University of Tennessee, Chattanooga, Tennessee 37403)

Abstract

This paper considers a bicriterion scheduling problem where a linear combination of two objective functions is considered, with weighting factors used to represent relative importance of the two criteria, i.e., total flowtime and range of lateness. A branch-and-bound solution procedure is designed for the problem. Computational results are also reported.

Suggested Citation

  • Tapan Sen & Farhad M. E. Raiszadeh & Parthasarati Dileepan, 1988. "Note---A Branch-and-Bound Approach to the Bicriterion Scheduling Problem Involving Total Flowtime and Range of Lateness," Management Science, INFORMS, vol. 34(2), pages 254-260, February.
  • Handle: RePEc:inm:ormnsc:v:34:y:1988:i:2:p:254-260
    DOI: 10.1287/mnsc.34.2.254
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.34.2.254
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.34.2.254?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. Richard L. Daniels & Robert J. Chambers, 1990. "Multiobjective flow‐shop scheduling," Naval Research Logistics (NRL), John Wiley & Sons, vol. 37(6), pages 981-995, December.
    2. Choo Jun Tan & Siew Chin Neoh & Chee Peng Lim & Samer Hanoun & Wai Peng Wong & Chu Kong Loo & Li Zhang & Saeid Nahavandi, 2019. "Application of an evolutionary algorithm-based ensemble model to job-shop scheduling," Journal of Intelligent Manufacturing, Springer, vol. 30(2), pages 879-890, February.
    3. Tzafestas, Spyros & Triantafyllakis, Alekos, 1993. "Deterministic scheduling in computing and manufacturing systems: a survey of models and algorithms," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 35(5), pages 397-434.
    4. Nagar, Amit & Haddock, Jorge & Heragu, Sunderesh, 1995. "Multiple and bicriteria scheduling: A literature survey," European Journal of Operational Research, Elsevier, vol. 81(1), pages 88-104, February.

    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:ormnsc:v:34:y:1988:i:2:p:254-260. 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.