IDEAS home Printed from https://ideas.repec.org/a/taf/tjorxx/v71y2020i4p628-646.html
   My bibliography  Save this article

Retailer vs. vendor managed inventory with considering stochastic learning effect

Author

Listed:
  • Qian Wei
  • Jianxiong Zhang
  • Guowei Zhu
  • Rui Dai
  • Shichen Zhang

Abstract

Extending the research on the impact of learning effect on inventory management is of particular importance, this paper studies two different inventory management models with considering stochastic learning effect, one is retailer-managed inventory (RMI) scenario, and another is vendor-managed inventory (VMI) scenario. We find that inventory exists in equilibrium provided that the holding cost is under a respective threshold both in the RMI and VMI scenarios, also, the threshold in the RMI scenario is significantly larger than that in the VMI scenario. Moreover, the RMI scenario is Pareto dominant over the VMI scenario except for a very large holding cost, and the advantage in enhancing profit is highlighted in the RMI scenario as the variability of the learning rate increases. Furthermore, the traditional double marginalization effect is weakened by a large variability in the RMI scenario while intensified in the VMI scenario. The results obtained in this paper can provide guidance for the inventory management with considering stochastic learning effect.

Suggested Citation

  • Qian Wei & Jianxiong Zhang & Guowei Zhu & Rui Dai & Shichen Zhang, 2020. "Retailer vs. vendor managed inventory with considering stochastic learning effect," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 71(4), pages 628-646, April.
  • Handle: RePEc:taf:tjorxx:v:71:y:2020:i:4:p:628-646
    DOI: 10.1080/01605682.2019.1581407
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/01605682.2019.1581407
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/01605682.2019.1581407?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    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:taf:tjorxx:v:71:y:2020:i:4:p:628-646. 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 Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tjor .

    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.