IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v30y1984i2p222-239.html
   My bibliography  Save this article

Computationally Efficient Optimal Solutions to the Lot-Sizing Problem in Multistage Assembly Systems

Author

Listed:
  • Panayotis Afentakis

    (Syracuse University)

  • Bezalel Gavish

    (University of Rochester)

  • Uday Karmarkar

    (University of Rochester)

Abstract

The scheduling of lot sizes in multistage production environments is a fundamental problem in many Material Requirements Planning Systems. Many heuristics have been suggested for this problem with varying degrees of success. Research to date on obtaining optimal solutions has been limited to small problems. This paper presents a new formulation of the lot-sizing problem in multistage assembly systems which leads to an effective optimization algorithm for the problem. The problem is reformulated in terms of "echelon stock" which simplifies its decomposition by a Lagrangean relaxation method. A Branch and Bound algorithm which uses the bounds obtained by the relaxation was developed and tested. Computational results are reported on 120 randomly generated problems involving up to 50 items in 15 stages and up to 18 time periods in the planning horizon.

Suggested Citation

  • Panayotis Afentakis & Bezalel Gavish & Uday Karmarkar, 1984. "Computationally Efficient Optimal Solutions to the Lot-Sizing Problem in Multistage Assembly Systems," Management Science, INFORMS, vol. 30(2), pages 222-239, February.
    • Handle: RePEc:inm:ormnsc:v:30:y:1984:i:2:p:222-239
    DOI: 10.1287/mnsc.30.2.222
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.30.2.222
    Download Restriction: no
    File URL: https://libkey.io/10.1287/mnsc.30.2.222?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
    ---><---

    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:30:y:1984:i:2:p:222-239. 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.