JD.com: Operations Research Algorithms Drive Intelligent Warehouse Robots to Work

Hengle Qin, Jun Xiao, Dongdong Ge, Linwei Xin, Jianjun Gao, Simai He, Haodong Hu, J. Carlsson
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引用次数: 17

Abstract

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.
京东:运筹学算法驱动智能仓库机器人工作
2010年,京东率先将当日送达作为中国b2c电子商务领域的标准服务。为了满足不断增长的需求,同时保持高质量的物流服务,该公司建立了智能仓库,利用分析技术显著提高仓库效率。智能仓库系统的大脑是仓储货架移动机器人的调度算法,通过在数秒内求解大规模整数程序,实现机器人、货架、工作站之间的实时调度决策。智能仓储技术帮助公司将配送费用率降至6.5%的世界领先水平。据估计,智能仓库的建设每年可节省数亿美元。2020年,京东90%的第一方自有零售订单在下单当天或下单次日送达。这种智能仓库的敏捷性使京东在销售旺季处理的订单量是正常情况下的10倍,也帮助公司快速应对COVID-19并确保快速恢复生产能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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