IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v25y1979i12p1232-1244.html
   My bibliography  Save this article

Using Linear Programming to Derive Planning Horizons for a Production Smoothing Problem

Author

Listed:
  • Louis W. Miller

    (University of Pennsylvania)

Abstract

In a previous paper Kunreuther and Morton examined a single product production planning problem in which demand in each of a finite number of periods is known with certainty, and there are linear costs for holding inventory and for adjusting production levels between periods. This paper reexamines the problem, taking advantage of it being a linear program. In particular, the dual problem has considerable structure, and the patterns of variables in dual feasible solutions have interesting geometric properties that afford a great deal of intuition. The requirement of dual feasibility is a more formal approach to the "marginal cost balancing" notion of Kunreuther and Morton and provides some extension and strengthening of the earlier results. A proof with simplified logical structure for the Kunreuther-Morton planning horizon is indicated. Then a different kind of planning horizon result is given. These, in contrast to the K-M planning horizons, occur when future demands increase, such as at the bottom of a seasonal cycle.

Suggested Citation

  • Louis W. Miller, 1979. "Using Linear Programming to Derive Planning Horizons for a Production Smoothing Problem," Management Science, INFORMS, vol. 25(12), pages 1232-1244, December.
  • Handle: RePEc:inm:ormnsc:v:25:y:1979:i:12:p:1232-1244
    DOI: 10.1287/mnsc.25.12.1232
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.25.12.1232
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.25.12.1232?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. Suresh Chand & Vernon Ning Hsu & Suresh Sethi, 2002. "Forecast, Solution, and Rolling Horizons in Operations Management Problems: A Classified Bibliography," Manufacturing & Service Operations Management, INFORMS, vol. 4(1), pages 25-43, September.

    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:25:y:1979:i:12:p:1232-1244. 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.