IDEAS home Printed from https://ideas.repec.org/a/wsi/apjorx/v40y2023i01ns0217595922400048.html
   My bibliography  Save this article

Online-Retail Supply Chain Optimization with Credit Period and Selling Price-Dependent Demand

Author

Listed:
  • Chunming Xu

    (Institute of Operations Research and Systems Engineering, College of Science, Tianjin University of Technology, Tianjin 300384, P. R. China)

  • Changlong Wang

    (School of Computer Science and Engineering, Tianjin University of Technology, Tianjin 300384, P. R. China)

  • Jie Ren

    (School of Computer Science and Engineering, Tianjin University of Technology, Tianjin 300384, P. R. China)

  • Linyao Kang

    (School of Computer Science and Engineering, Tianjin University of Technology, Tianjin 300384, P. R. China)

  • Donglei Du

    (Faculty of Management, University of New Brunswick, Fredericton, NB, Canada E3B 9Y2, Canada)

Abstract

Credit payment strategies have been implemented widely in the online retail industry. This work studies an online-retail supply chain involving credit period and selling price-dependent demands. The participants of the supply chain form a Stackelberg game where the supplier as a follower sells products to the customers through an online platform provider, who as a leader provides a credit period to customers and charges the supplier based on the quantity of goods sold. We study and compare the supply chains when the online platform provider adopts the cash payment and credit payment strategies, respectively, to investigate the effects of the credit period, the selling price and the default risk on supply chain system performance. We also investigate these supply chains under both the centralized and decentralized settings and provide an example to illustrate a simple allocation mechanism to coordinate the decentralized supply chain. Finally, an extension of the supply chain with credit payment is given.

Suggested Citation

  • Chunming Xu & Changlong Wang & Jie Ren & Linyao Kang & Donglei Du, 2023. "Online-Retail Supply Chain Optimization with Credit Period and Selling Price-Dependent Demand," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 40(01), pages 1-24, February.
  • Handle: RePEc:wsi:apjorx:v:40:y:2023:i:01:n:s0217595922400048
    DOI: 10.1142/S0217595922400048
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0217595922400048
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S0217595922400048?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.

    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:wsi:apjorx:v:40:y:2023:i:01:n:s0217595922400048. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/apjor/apjor.shtml .

    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.