IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v13y1967i9p648-671.html
   My bibliography  Save this article

Labor and Machine Limited Production Systems

Author

Listed:
  • Rosser T. Nelson

    (University of California, Los Angeles)

Abstract

A number of investigations have been performed with models of machine limited production systems. In the main, the work has centered upon evaluation of alternative queue disciplines. In this paper, a model is proposed for studying systems in which both machines and labor are limiting resources. The proposed model includes several design and control factors which offer promising subjects for research. These factors relate to labor and job assignment procedures and control, labor force training, and system flexibility as determined by equipment purchasing and employment policies. Results are reported for an initial set of experiments in which the labor assignment procedure and the size of the labor force are variables, and for two subsequent sets of experiments in which the labor assignment procedure, the degree of centralized control of labor assignment, the job routing characteristics of the network, and the labor efficiency matrix are variables. Suggestions are given for further research.

Suggested Citation

  • Rosser T. Nelson, 1967. "Labor and Machine Limited Production Systems," Management Science, INFORMS, vol. 13(9), pages 648-671, May.
  • Handle: RePEc:inm:ormnsc:v:13:y:1967:i:9:p:648-671
    DOI: 10.1287/mnsc.13.9.648
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.13.9.648
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.13.9.648?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. Federica Costa & Matthias Thürer & Alberto Portioli-Staudacher, 2023. "Heterogeneous worker multi-functionality and efficiency in dual resource constrained manufacturing lines: an assessment by simulation," Operations Management Research, Springer, vol. 16(3), pages 1476-1489, September.
    2. Xu, J. & Xu, X. & Xie, S.Q., 2011. "Recent developments in Dual Resource Constrained (DRC) system research," European Journal of Operational Research, Elsevier, vol. 215(2), pages 309-318, December.
    3. Berti, Nicola & Finco, Serena & Battaïa, Olga & Delorme, Xavier, 2021. "Ageing workforce effects in Dual-Resource Constrained job-shop scheduling," International Journal of Production Economics, Elsevier, vol. 237(C).

    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:13:y:1967:i:9:p:648-671. 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.