IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v37y1991i8p960-979.html
   My bibliography  Save this article

Locating Tax Facilities: A Graphics-Based Microcomputer Optimization Model

Author

Listed:
  • Paul D. Domich

    (Computing and Applied Mathematics Laboratory, National Institute of Standards and Technology, Boulder, Colorado 80303-3328)

  • Karla L. Hoffman

    (George Mason University, Operations Research and Applied Statistics Department, Fairfax, Virginia 22030)

  • Richard H. F. Jackson

    (Manufacturing Engineering Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland 20899)

  • Marjorie A. McClain

    (Computing and Applied Mathematics Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland 20899)

Abstract

This paper presents a mathematical model that selects locations for Internal Revenue Service Posts-of-Duty. The system is microcomputer-based and uses menus and graphically displayed zip code maps of IRS districts for interactive inputs and solution outputs. The mathematical model used for this problem is the uncapacitated, fixed charge, location-allocation model which minimizes travel and facility costs, given a specified level of activity. A greedy-interchange heuristic is used to obtain "good" solutions to the problem and is coupled with a lagrangian-relaxation technique providing a measure of how far from optimality the current solution can be. An example with Florida data illustrates the use of the model.

Suggested Citation

  • Paul D. Domich & Karla L. Hoffman & Richard H. F. Jackson & Marjorie A. McClain, 1991. "Locating Tax Facilities: A Graphics-Based Microcomputer Optimization Model," Management Science, INFORMS, vol. 37(8), pages 960-979, August.
    • Handle: RePEc:inm:ormnsc:v:37:y:1991:i:8:p:960-979
    DOI: 10.1287/mnsc.37.8.960
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.37.8.960
    Download Restriction: no
    File URL: https://libkey.io/10.1287/mnsc.37.8.960?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. R. Francis & T. Lowe & M. Rayco & A. Tamir, 2009. "Aggregation error for location models: survey and analysis," Annals of Operations Research, Springer, vol. 167(1), pages 171-208, March.
    2. R.L. Francis & T.J. Lowe & M.B. Rayco & A. Tamir, 2003. "Exploiting self‐canceling demand point aggregation error for some planar rectilinear median location problems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 50(6), pages 614-637, September.
    3. R. L. Francis & T. J. Lowe & Arie Tamir, 2000. "Aggregation Error Bounds for a Class of Location Models," Operations Research, INFORMS, vol. 48(2), pages 294-307, April.
    4. Avella, P. & Benati, S. & Canovas Martinez, L. & Dalby, K. & Di Girolamo, D. & Dimitrijevic, B. & Ghiani, G. & Giannikos, I. & Guttmann, N. & Hultberg, T. H. & Fliege, J. & Marin, A. & Munoz Marquez, , 1998. "Some personal views on the current state and the future of locational analysis," European Journal of Operational Research, Elsevier, vol. 104(2), pages 269-287, January.

    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:37:y:1991:i:8:p:960-979. 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.