Advanced Search
MyIDEAS: Login to save this article or follow this journal

A Note on Deteriorating Jobs and Learning in Single-Machine Scheduling Problems

Contents:

Author Info

  • Wen-Chiung Lee

    (Department of Statistics, Feng Chia University, Taiwan)

Registered author(s):

    Abstract

    In this note, we investigate the effects of deterioration and learning in single-machine scheduling problems. Although the learning effect and the concept of deteriorating jobs have been extensively studied, they have never been considered simultaneously. It is shown in several examples that the optimal schedule of the problem may be different from that of the classical one. Nevertheless, the makespan and the total flow time minimization problems remain polynomial solvable.

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL: http://www.ijbe.org/table%20of%20content/pdf/vol3-1/vol3-1-09.pdf
    Download Restriction: no

    File URL: http://www.ijbe.org/table%20of%20content/abstract/Vol.3/No.1/09.htm
    Download Restriction: no

    Bibliographic Info

    Article provided by College of Business, and College of Finance, Feng Chia University, Taichung, Taiwan in its journal International Journal of Business and Economics.

    Volume (Year): 3 (2004)
    Issue (Month): 1 (April)
    Pages: 83-89

    as in new window
    Handle: RePEc:ijb:journl:v:3:y:2004:i:1:p:83-89

    Contact details of provider:
    Postal: 100 Wenhwa Road, Seatwen, Taichung
    Web page: http://www.ijbe.org/
    More information through EDIRC

    Related research

    Keywords: scheduling; single machine; learning effect; deteriorating jobs;

    Find related papers by JEL classification:

    References

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
    as in new window
    1. Bachman, Aleksander & Janiak, Adam, 2000. "Minimizing maximum lateness under linear deterioration," European Journal of Operational Research, Elsevier, vol. 126(3), pages 557-566, November.
    2. Biskup, Dirk, 1999. "Single-machine scheduling with learning considerations," European Journal of Operational Research, Elsevier, vol. 115(1), pages 173-178, May.
    3. Voutsinas, Theodore G. & Pappis, Costas P., 2002. "Scheduling jobs with values exponentially deteriorating over time," International Journal of Production Economics, Elsevier, vol. 79(3), pages 163-169, October.
    4. Mosheiov, Gur, 2001. "Scheduling problems with a learning effect," European Journal of Operational Research, Elsevier, vol. 132(3), pages 687-693, August.
    5. Kunnathur, Anand S. & Gupta, Sushil K., 1990. "Minimizing the makespan with late start penalties added to processing times in a single facility scheduling problem," European Journal of Operational Research, Elsevier, vol. 47(1), pages 56-64, July.
    Full references (including those not matched with items on IDEAS)

    Citations

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

    Cited by:
    1. Qian, Jianbo & Steiner, George, 2013. "Fast algorithms for scheduling with learning effects and time-dependent processing times on a single machine," European Journal of Operational Research, Elsevier, vol. 225(3), pages 547-551.

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:ijb:journl:v:3:y:2004:i:1:p:83-89. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Yi-Ju Su).

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.