IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v16y1970i10pb614-b629.html
   My bibliography  Save this article

Multi-Item Production Planning--An Extension of the HMMS Rules

Author

Listed:
  • Gary L. Bergstrom

    (Putnam Management Company, Boston, Massachusetts)

  • Barnard E. Smith

    (Professor, Thayer School of Engineering, Dartmouth College)

Abstract

The Linear Decision Rules (LDR) proposed by Holt, Modigliani, Muth, and Simon for the production planning problem determine an optimum plan in terms of an aggregate production rate and work force level. The criteria of the LDR assume we wish to make decisions so as to minimize costs over a specified time horizon, given estimates of future aggregate demand. This paper extends the LDR to a multi-item formulation (MDR) which solves directly for the optimum sales, production, and inventory levels for individual items in future periods. To remove the restriction of specified demand, revenue curves are estimated for each item in each time period. The MDR model then seeks a solution to maximize profit for the firm over the time horizon by an application in a firm producing a line of electric motors. The results of the MDR are compared to management's proposed plan and some important differences are detected.

Suggested Citation

  • Gary L. Bergstrom & Barnard E. Smith, 1970. "Multi-Item Production Planning--An Extension of the HMMS Rules," Management Science, INFORMS, vol. 16(10), pages 614-629, June.
  • Handle: RePEc:inm:ormnsc:v:16:y:1970:i:10:p:b614-b629
    DOI: 10.1287/mnsc.16.10.B614
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.16.10.B614
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.16.10.B614?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. Kim, DaeSoo & Lee, Won J., 1998. "Optimal joint pricing and lot sizing with fixed and variable capacity," European Journal of Operational Research, Elsevier, vol. 109(1), pages 212-227, August.
    2. Chiu, Singa Wang & Pai, Fan-Yun & Wu, Wen Kuei, 2013. "Alternative approach to determine the common cycle time for a multi-item production system with discontinuous deliveries and failure in rework," Economic Modelling, Elsevier, vol. 35(C), pages 593-596.
    3. Jaya Singhal & Kalyan Singhal, 2008. "A Noniterative Algorithm for the Linear-Quadratic Profit-Maximization Model for Smoothing Multiproduct Production," INFORMS Journal on Computing, INFORMS, vol. 20(2), pages 169-178, May.
    4. Chiu, Yuan-Shyi Peter & Huang, Chao-Chih & Wu, Mei-Fang & Chang, Huei-Hsin, 2013. "Joint determination of rotation cycle time and number of shipments for a multi-item EPQ model with random defective rate," Economic Modelling, Elsevier, vol. 35(C), pages 112-117.
    5. Abhijit Upasani & Reha Uzsoy, 2008. "Incorporating manufacturing lead times in joint production-marketing models: A review and some future directions," Annals of Operations Research, Springer, vol. 161(1), pages 171-188, July.

    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:16:y:1970:i:10:p:b614-b629. 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.