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

Xiaolong Guo (), Yugang Yu (), Gad Allon (), Meiyan Wang () and Zhentai Zhang ()
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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

Manufacturing & Service Operations Management, 2024, vol. 26, issue 4, 1358-1371

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.

Keywords: logistics; delivery data; MSOM society; data-driven research (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:inm:ormsom:v:26:y:2024:i:4:p:1358-1371

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