IDEAS home Printed from https://ideas.repec.org/a/inm/oropre/v38y1990i4p598-606.html
   My bibliography  Save this article

Optimal Contract Period for Priority Service

Author

Listed:
  • Hung-Po Chao

    (Electric Power Research Institute, Palo Alto, California)

  • Robert Wilson

    (Stanford University, Stanford, California)

Abstract

In industries with capacity constraints and nonstorable outputs, priority service is a form of market organization in which customers subscribe in advance to the order in which they will be served from scarce supplies. The optimal duration of priority service contracts depends on a tradeoff between transaction costs and efficiency gains that, in turn, depends on the serial correlations of customers' service valuations. Using a stationary Markov process to characterize the distribution of customers' valuations, we present several simple methods that illustrate the principal determinants of the optimal contract period.

Suggested Citation

  • Hung-Po Chao & Robert Wilson, 1990. "Optimal Contract Period for Priority Service," Operations Research, INFORMS, vol. 38(4), pages 598-606, August.
  • Handle: RePEc:inm:oropre:v:38:y:1990:i:4:p:598-606
    DOI: 10.1287/opre.38.4.598
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/opre.38.4.598
    Download Restriction: no

    File URL: https://libkey.io/10.1287/opre.38.4.598?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. Jörn Kruse, 2010. "Priority and Internet Quality," Chapters, in: Morten Falch & Jan Markendahl (ed.), Promoting New Telecom Infrastructures, chapter 10, Edward Elgar Publishing.
    2. Qu, Yingge & Kumar, V. & Zhao, Yi, 2023. "A dynamic model of the contract length and early termination: The roles of technology evolution and pricing strategy," Journal of Business Research, Elsevier, vol. 167(C).
    3. Hui-Chih Hung & Chung-Yu Chung & Muh-Cherng Wu & Wan-Ling Shen, 2017. "A membership pricing policy to facilitate service scale-expansion," The Service Industries Journal, Taylor & Francis Journals, vol. 37(3-4), pages 167-189, March.

    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:oropre:v:38:y:1990:i:4:p:598-606. 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.