IDEAS home Printed from https://ideas.repec.org/a/inm/ormsom/v26y2024i4p1358-1371.html
   My bibliography  Save this article

RiRiShun Logistics: Home Appliance Delivery Data for the 2021 Manufacturing & Service Operations Management Data-Driven Research Challenge

Author

Listed:
  • Xiaolong Guo

    (Anhui Province Key Laboratory of Contemporary Logistics and Supply Chain, International Institute of Finance, School of Management, University of Science and Technology of China, Hefei 230026, China)

  • Yugang Yu

    (Anhui Province Key Laboratory of Contemporary Logistics and Supply Chain, International Institute of Finance, School of Management, University of Science and Technology of China, Hefei 230026, China)

  • Gad Allon

    (Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104)

  • Meiyan Wang

    (Branding & Marketing Department, Haier Group, Qingdao 266103, Shandong, China)

  • Zhentai Zhang

    (Information Technology Department, RSS Supply Chain Technology Co., Ltd., Qingdao 266103, Shandong, China)

Abstract

To support the 2021 Manufacturing & Service Operations Management ( M&SOM ) Data-Driven Research Challenge, RiRiShun Logistics (a Haier group subsidiary focusing on logistics service for home appliances) provides MSOM members with logistics operational-level data for data-driven research. This paper provides a detailed description of the data associated with over 14 million orders from 149 clients (the consigners) associated with 4.2 million end consumers (the recipients and end users of the appliances) in China, involving 18,000 stock keeping units operated at 103 warehouses. Researchers are welcomed to develop econometric models, data-driven optimization techniques, analytical models, and algorithm designs by using this data set to address questions suggested by company managers.

Suggested Citation

  • Xiaolong Guo & Yugang Yu & Gad Allon & Meiyan Wang & Zhentai Zhang, 2024. "RiRiShun Logistics: Home Appliance Delivery Data for the 2021 Manufacturing & Service Operations Management Data-Driven Research Challenge," Manufacturing & Service Operations Management, INFORMS, vol. 26(4), pages 1358-1371, July.
    • Handle: RePEc:inm:ormsom:v:26:y:2024:i:4:p:1358-1371
    DOI: 10.1287/msom.2021.0994
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/msom.2021.0994
    Download Restriction: no
    File URL: https://libkey.io/10.1287/msom.2021.0994?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:ormsom:v:26:y:2024:i:4:p:1358-1371. 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.