IDEAS home Printed from https://ideas.repec.org/a/inm/oropre/v70y2022i2p805-814.html
   My bibliography  Save this article

Technical Note—A Monge Sequence-Based Approach to Characterize the Competitive Newsvendor Problem

Author

Listed:
  • Saurabh Bansal

    (The Pennsylvania State University, University Park, Pennsylvania 16802)

  • Mahesh Nagarajan

    (University of British Columbia, Vancouver, British Columbia V6T 1Z2, Canada)

Abstract

We revisit the stochastic inventory game in which n players compete by setting their individual inventory levels in a market with stockout-based demand substitution. Because of specific tractability issues, the prior literature has largely focused on versions of this competitive newsvendor problem with assumptions on the number of players and their substitution behavior. In this note, we develop an approach to solve instances of this problem with any number of players and multistage spillovers of unsatisfied demand. We (i) establish that for multistage stockout-based substitution models explored in the literature, the search (substitution) behavior of customers can be replicated using a Monge sequence; (ii) obtain the first-order conditions that can be then used to determine equilibrium inventory levels; and (iii) discuss other structural properties of the solution based on Bottleneck Monge matrices. Special cases of our approach provide the well-known equilibrium results for two newsvendors.

Suggested Citation

  • Saurabh Bansal & Mahesh Nagarajan, 2022. "Technical Note—A Monge Sequence-Based Approach to Characterize the Competitive Newsvendor Problem," Operations Research, INFORMS, vol. 70(2), pages 805-814, March.
  • Handle: RePEc:inm:oropre:v:70:y:2022:i:2:p:805-814
    DOI: 10.1287/opre.2021.2189
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/opre.2021.2189
    Download Restriction: no

    File URL: https://libkey.io/10.1287/opre.2021.2189?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:oropre:v:70:y:2022:i:2:p:805-814. 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.