IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v22y1976i12p1362-1371.html
   My bibliography  Save this article

A Simulation Study of Operating Policies in a Hypothetical Dual-Constrained Job Shop

Author

Listed:
  • James K. Weeks

    (University of Delaware)

  • John S. Fryer

    (University of South Carolina)

Abstract

This paper describes a simulation study of the relative impact of due-date assignment, dispatching and labor assignment decision rules on the performance of a hypothetical dual-constrained job shop. Six criteria are used to measure the performance of the decision rules. They are mean flow-time, variance of flow-time, mean lateness, variance of lateness, proportion of jobs late, and total labor transfers. Multiple regression is the principal method of analysis of the results of the experiments. This technique provides regression coefficients and analysis of variance statistics for the decision rules for the various performance measures. Since the objective of this study is to go beyond simple statements of the significance of the various decision rules, the multiple regression results are used with analysis of variance statistics to indicate the relative impact of the decision rules. The regression coefficients and the omega squared (\omega 2) indices [Hays, W. L. 1962. Statistics. Holt, Rinehart and Winston, New York, 406-408.] indicate that the relative importance of the due-date assignment, dispatching and labor assignment decision rules is dependent upon the measure of performance considered. In addition, the relative importance and optimality of the dispatching rules is dependent upon the due-date tightness for selected performance measures.

Suggested Citation

  • James K. Weeks & John S. Fryer, 1976. "A Simulation Study of Operating Policies in a Hypothetical Dual-Constrained Job Shop," Management Science, INFORMS, vol. 22(12), pages 1362-1371, August.
    • Handle: RePEc:inm:ormnsc:v:22:y:1976:i:12:p:1362-1371
    DOI: 10.1287/mnsc.22.12.1362
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.22.12.1362
    Download Restriction: no
    File URL: https://libkey.io/10.1287/mnsc.22.12.1362?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. Patrick R. Philipoom & Lars Wiegmann & Loren Paul Rees, 1997. "Cost‐based due‐date assignment with the use of classical and neural‐network approaches," Naval Research Logistics (NRL), John Wiley & Sons, vol. 44(1), pages 21-46, February.
    2. Soroush, H. M., 1999. "Sequencing and due-date determination in the stochastic single machine problem with earliness and tardiness costs," European Journal of Operational Research, Elsevier, vol. 113(2), pages 450-468, March.
    3. Jensen, John B., 2000. "The impact of resource flexibility and staffing decisions on cellular and departmental shop performance," European Journal of Operational Research, Elsevier, vol. 127(2), pages 279-296, December.
    4. Kleijnen, J.P.C., 1981. "Regression analysis for simulation practitioners," Research Memorandum FEW 85, Tilburg University, School of Economics and Management.
    5. Kleijnen, J.P.C., 1982. "Regression metamodel summarization of model behaviour," Research Memorandum FEW 120, Tilburg University, School of Economics and Management.
    6. Charlambides, Leonidas C., 1982. "The Dynamic Transportation job shop - A research perspective," Transportation Research Forum Proceedings 1980s 311562, Transportation Research Forum.

    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:ormnsc:v:22:y:1976:i:12:p:1362-1371. 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.