仓库
分析
机器人
计算机科学
服务(商务)
数据仓库
质量(理念)
数据库
工作(物理)
机架
可扩展性
工作站
运营管理
制造工程
业务
运筹学
工程类
营销
人工智能
机械工程
操作系统
哲学
认识论
作者
Hengle Qin,Jun Xiao,Dongdong Ge,Linwei Xin,Jianjun Gao,Simai He,Haowei Hu,John Gunnar Carlsson
标识
DOI:10.1287/inte.2021.1100
摘要
JD.com pioneered same-day delivery as a standard service in China’s business-to-consumer e-commerce sector in 2010. To balance the urgent need to meet growing demands while maintaining high-quality logistics services, the company built intelligent warehouses that use analytics to significantly improve warehouse efficiency. The brain of the intelligent warehouse system is the dispatching algorithm for storage rack-moving robots, which makes real-time dispatching decisions among robots, racks, and workstations after solving large-scale integer programs in seconds. The intelligent warehouse technology has helped the company decrease its fulfillment expense ratio to a world-leading level of 6.5%. The construction of intelligent warehouses has led to estimated annual savings of hundreds of millions of dollars. In 2020, JD.com delivered 90% of its first-party-owned retail orders on the same day or on the day after the order was placed. The agility of such intelligent warehouses has allowed JD.com to handle 10 times the normal volume of orders during peak sales seasons and has also helped the company respond quickly to COVID-19 and ensure the rapid recovery of production capabilities.
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