An intelligent green scheduling system for sustainable cold chain logistics

作者：

Highlights：

• A framework to an intelligent green scheduling system for cold chain logistics.

• A multi-objective model considering the multi-route decision and time windows.

• A two-stage optimization algorithm based on Dijkstra’s algorithm and NSGA-III.

• Pareto frontier evaluation balancing economic, safety, and environmental effects.

摘要

•A framework to an intelligent green scheduling system for cold chain logistics.•A multi-objective model considering the multi-route decision and time windows.•A two-stage optimization algorithm based on Dijkstra’s algorithm and NSGA-III.•Pareto frontier evaluation balancing economic, safety, and environmental effects.

论文关键词：Intelligent green scheduling system,Cold chain logistics,Multi-objective,Carbon emission,Two-stage optimization algorithm

论文评审过程：Received 5 December 2021, Revised 27 July 2022, Accepted 1 August 2022, Available online 5 August 2022, Version of Record 11 August 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118378