IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v27y1981i10p1120-1141.html
   My bibliography  Save this article

Inverse Optimization: An Application to the Capacitated Plant Location Problem

Author

Listed:
  • Gabriel R. Bitran

    (Massachusetts Institute of Technology)

  • Vijaya Chandru

    (Massachusetts Institute of Technology)

  • Dorothy E. Sempolinski

    (Corning Glass Works, Corning, New York)

  • Jeremy F. Shapiro

    (Massachusetts Institute of Technology)

Abstract

Lagrangean techniques have had wide application to the optimization of discrete optimization problems. Inverse optimization refers to the fact that each time a Lagrangean calculation is made for a specific problem with a given resources vector, an optimal solution is obtained for a related problem with a suitably adjusted resources vector. This property is studied in depth for the capacitated plant location problem and new parametric methods for that problem are suggested. Computational experience is reported.

Suggested Citation

  • Gabriel R. Bitran & Vijaya Chandru & Dorothy E. Sempolinski & Jeremy F. Shapiro, 1981. "Inverse Optimization: An Application to the Capacitated Plant Location Problem," Management Science, INFORMS, vol. 27(10), pages 1120-1141, October.
  • Handle: RePEc:inm:ormnsc:v:27:y:1981:i:10:p:1120-1141
    DOI: 10.1287/mnsc.27.10.1120
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.27.10.1120
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.27.10.1120?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. Sune Lauth Gadegaard & Andreas Klose & Lars Relund Nielsen, 2018. "An improved cut-and-solve algorithm for the single-source capacitated facility location problem," EURO Journal on Computational Optimization, Springer;EURO - The Association of European Operational Research Societies, vol. 6(1), pages 1-27, March.
    2. Torbjörn Larsson & Nils-Hassan Quttineh & Ida Åkerholm, 2024. "A Lagrangian bounding and heuristic principle for bi-objective discrete optimization," Operational Research, Springer, vol. 24(2), pages 1-34, June.
    3. Kang, Jae-Hun & Kim, Yeong-Dae, 2012. "Inventory control in a two-level supply chain with risk pooling effect," International Journal of Production Economics, Elsevier, vol. 135(1), pages 116-124.
    4. Gavish, Bezalel, 1997. "Low earth orbit satellite based communication systems -- Research opportunities," European Journal of Operational Research, Elsevier, vol. 99(1), pages 166-179, May.
    5. Zhaoyang Duan & Lizhi Wang, 2011. "Heuristic algorithms for the inverse mixed integer linear programming problem," Journal of Global Optimization, Springer, vol. 51(3), pages 463-471, November.

    More about this item

    Keywords

    programming: integer algorithms;

    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:27:y:1981:i:10:p:1120-1141. 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.