A multi-agent system for solving the Dynamic Capacitated Vehicle Routing Problem with stochastic customers using trajectory data mining

作者：

Highlights：

• Trajectory data mining can improve last-mile routes.

• Stochastic and dynamic VRP solutions make cross-docking operations more efficient.

• Multi-agent systems allow efficiently implementing the dynamic VRP in warehouse systems.

摘要

•Trajectory data mining can improve last-mile routes.•Stochastic and dynamic VRP solutions make cross-docking operations more efficient.•Multi-agent systems allow efficiently implementing the dynamic VRP in warehouse systems.

论文关键词：E-commerce logistics,Dynamic Capacitated Vehicle Routing Problem with stochastic customers,Multi-agent systems,Data mining,Big Data

论文评审过程：Received 12 September 2020, Revised 18 January 2022, Accepted 20 January 2022, Available online 5 February 2022, Version of Record 16 February 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116602