IDEAS home Printed from https://ideas.repec.org/a/ids/ijlsma/v30y2018i3p298-329.html
   My bibliography  Save this article

Buyback contract in a risk-averse supply chain with a return policy and price dependent demand

Author

Listed:
  • T.T.H. Duc
  • N.T. Loi
  • J. Buddhakulsomsiri

Abstract

This paper examines a two-stage supply chain where a retailer offers a return policy with partial refund to end customers, and a manufacturer offers a buyback contract for all unsold and returned items to the retailer to share the risk. Customer demand is stochastic and price dependent. Key performance measure is the utility of profit, a function of the mean and variance of profit. Supply chain members are risk averse. Optimal buyback price, wholesale price, and retailer's order quantity are determined for the supply chain under coordination. A computational study is conducted to investigate the impacts of the members' risk attitudes, refund amount, and retail price on the optimal decisions. Further analysis shows break-even points among utility values at different retail prices as the risk attitude parameters and refund amount change. These break-even points provide a guideline for the retailers to adjust the price to maximise the utility of profit.

Suggested Citation

  • T.T.H. Duc & N.T. Loi & J. Buddhakulsomsiri, 2018. "Buyback contract in a risk-averse supply chain with a return policy and price dependent demand," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 30(3), pages 298-329.
  • Handle: RePEc:ids:ijlsma:v:30:y:2018:i:3:p:298-329
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=92612
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mojtaba Farrokh & Ehsan Ahmadi & Minghe Sun, 2023. "A robust stochastic possibilistic programming model for dynamic supply chain network design with pricing and technology selection decisions," OPSEARCH, Springer;Operational Research Society of India, vol. 60(3), pages 1082-1120, September.

    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:ids:ijlsma:v:30:y:2018:i:3:p:298-329. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=134 .

    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.