IDEAS home Printed from https://ideas.repec.org/a/ids/injdan/v10y2018i3p241-256.html
   My bibliography  Save this article

Using improved genetic algorithm under uncertain circumstance of site selection of O2O customer returns

Author

Listed:
  • Hongying Sun
  • Yu Tian

Abstract

Online-to-offline (O2O) e-commerce supports online purchase and offline servicing. In recent years, with the growth of online shopping in China, O2O has become a new popular mode of e-commerce appliance. Buying online and returning offline are becoming a dominant shopping mode. The returns of customer should be collected to be treated in a more cost-efficient manner. To this end, this paper aims to propose an integer programming model to minimise the cost in construction couple with operating charges by optimising the sites of reverse logistics with the customer returns. For lowering storage costs, physical stores and their geographical sites should be far away from the residential area. In addition, this paper designs an improved genetic algorithm for solving two-stage heredity under random circumstance in that this model builds up multilayer reverse logistics network for recycling customer returns. Both the simulation and numerical examples prove the effectiveness and feasibility of this improved genetic algorithm.

Suggested Citation

  • Hongying Sun & Yu Tian, 2018. "Using improved genetic algorithm under uncertain circumstance of site selection of O2O customer returns," International Journal of Data Analysis Techniques and Strategies, Inderscience Enterprises Ltd, vol. 10(3), pages 241-256.
    • Handle: RePEc:ids:injdan:v:10:y:2018:i:3:p:241-256
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=94129
    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.

    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:injdan:v:10:y:2018:i:3:p:241-256. 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=282 .

    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.