日顺物流：2021年制造与服务运营管理数据驱动研究挑战的家电交付数据

IF 4.8 3区管理学 Q1 MANAGEMENT

M&som-Manufacturing & Service Operations Management Pub Date : 2021-07-20 DOI:10.1287/MSOM.2021.0994

Xiaolong Guo, Yugang Yu, Gad Allon, M. Wang, Zhentai Zhang

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引用次数: 4

摘要

为了支持2021制造与服务运营管理（MSOM）数据驱动研究挑战，日顺物流（海尔集团专注于家电物流服务的子公司）为MSOM成员提供数据驱动研究的物流运营级数据。本文详细描述了来自149家客户（发货人）的1400多万份订单的相关数据，这些客户与中国420万最终消费者（家电的接收者和最终用户）有关联，涉及103个仓库的18000个库存单元。欢迎研究人员利用这些数据集来解决公司经理提出的问题，从而开发计量经济模型、数据驱动的优化技术、分析模型和算法设计。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

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

To support the 2021 Manufacturing & Service Operations Management (MSOM) 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.

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来源期刊

M&som-Manufacturing & Service Operations Management 管理科学-运筹学与管理科学

CiteScore

9.30

自引率

12.70%

发文量

184

审稿时长

12 months

期刊介绍： M&SOM is the INFORMS journal for operations management. The purpose of the journal is to publish high-impact manuscripts that report relevant research on important problems in operations management (OM). The field of OM is the study of the innovative or traditional processes for the design, procurement, production, delivery, and recovery of goods and services. OM research entails the control, planning, design, and improvement of these processes. This research can be prescriptive, descriptive, or predictive; however, the intent of the research is ultimately to develop some form of enduring knowledge that can lead to more efficient or effective processes for the creation and delivery of goods and services. M&SOM encourages a variety of methodological approaches to OM research; papers may be theoretical or empirical, analytical or computational, and may be based on a range of established research disciplines. M&SOM encourages contributions in OM across the full spectrum of decision making: strategic, tactical, and operational. Furthermore, the journal supports research that examines pertinent issues at the interfaces between OM and other functional areas.