IDEAS home Printed from https://ideas.repec.org/p/ems/eureir/1422.html
   My bibliography  Save this paper

A note on a profit maximizing location model

Author

Listed:
  • Zhang, S.

Abstract

In this paper we discuss a locational model with a profit-maximizing objective. The model can be illustrated by the following situation. There is a set of potential customers in a given region. A firm enters the market and wants to sell a certain product to this set of customers. The location and demand of each potential customer are assumed to be known. In order to maximize its total profit, the firm has to decide: 1) where to locate its distribution warehouse to serve the customers; 2) the price for its product. Due to existence of competition, each customer holds a reservation price for the product. This reservation price is a decreasing function in the distance to the warehouse. If the actual price is higher than the reservation price, then the customer will turn to some other supplier and hence is lost from the firm's market. The problem of the firm is to find the best location for its warehouse and the best price for its product at the same time in order to maximize the total profit. We show that this problem can be solved in polynomial time.

Suggested Citation

  • Zhang, S., 1997. "A note on a profit maximizing location model," Econometric Institute Research Papers EI 9703-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  • Handle: RePEc:ems:eureir:1422
    as

    Download full text from publisher

    File URL: https://repub.eur.nl/pub/1422/eeb19960111120054.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. HANSEN, Pierre & LABBE, Martine & PEETERS, Dominique & François THISSE, Jacques, 1987. "Facility location analysis," LIDAM Reprints CORE 747, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. repec:cor:louvrp:-747 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gianmarco I P Ottaviano & Jacques-François Thisse, 2005. "New Economic Geography: What about the N?," Environment and Planning A, , vol. 37(10), pages 1707-1725, October.
    2. Derycke, Pierre-Henri, 2009. "Regards sur l’économie urbaine 40 ans de recherches francophones (1965-2007)," Revue d'économie régionale et urbaine, Editions NecPlus, vol. 2009(02), pages 239-266, June.
    3. Antunes, Antonio & Peeters, Dominique, 2001. "On solving complex multi-period location models using simulated annealing," European Journal of Operational Research, Elsevier, vol. 130(1), pages 190-201, April.
    4. Daniel Serra & Charles Revelle, 1997. "Competitive location and pricing on networks," Economics Working Papers 219, Department of Economics and Business, Universitat Pompeu Fabra.
    5. Nathalie Gaussier, 2001. "The Spatial Foundations of Obnoxious Goods Location: The Garbage Dumps Case," Regional Studies, Taylor & Francis Journals, vol. 35(7), pages 625-636.
    6. Ottaviano, Gianmarco & Thisse, Jacques-Francois, 2004. "Agglomeration and economic geography," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 58, pages 2563-2608, Elsevier.
    7. Frank Plastria & Mohamed Elosmani, 2008. "On the convergence of the Weiszfeld algorithm for continuous single facility location–allocation problems," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(2), pages 388-406, December.
    8. Shuzhong Zhang, 1997. "A Note on a Profit Maximizing Location Model," Tinbergen Institute Discussion Papers 97-019/4, Tinbergen Institute.
    9. Daniel Serra & Charles Revelle, 1994. "Competitive location in discrete space," Economics Working Papers 96, Department of Economics and Business, Universitat Pompeu Fabra.
    10. António P. Antunes, 1999. "Location Analysis Helps Manage Solid Waste in Central Portugal," Interfaces, INFORMS, vol. 29(4), pages 32-43, August.
    11. M.A. Keyzer & Y.M. Ermoliev, 1998. "Modeling Producer Decisions on Land Use in Spatial Continuum," Working Papers ir98026, International Institute for Applied Systems Analysis.
    12. Daniel Serra & Rosa Colomé, 2000. "Supermarket key attributes and location decisions: A comparative study between British and Spanish consumers," Economics Working Papers 469, Department of Economics and Business, Universitat Pompeu Fabra.

    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:ems:eureir:1422. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: RePub (email available below). General contact details of provider: https://edirc.repec.org/data/feeurnl.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.