Collaborative multi-depot pickup and delivery vehicle routing problem with split loads and time windows
作者：
Highlights：
• Study a collaborative pickup and delivery logistics network with split loads.
• Propose a mixed-integer programming model for a multi-depot split logistics network.
• Devise a hybrid method with 3D k-means clustering, split load strategies and GA-TS.
• Conduct different vehicle capacity types to test logistics operation efficiency.
• Explore loading rate means and variations in non- and collaborative networks.
摘要
•Study a collaborative pickup and delivery logistics network with split loads.•Propose a mixed-integer programming model for a multi-depot split logistics network.•Devise a hybrid method with 3D k-means clustering, split load strategies and GA-TS.•Conduct different vehicle capacity types to test logistics operation efficiency.•Explore loading rate means and variations in non- and collaborative networks.
论文关键词：Multi-depot pickup and delivery vehicle routing problem,Collaborative network,Split loads,3D customer clustering,HGA-TS algorithm
论文评审过程：Received 27 June 2021, Revised 8 August 2021, Accepted 18 August 2021, Available online 21 August 2021, Version of Record 31 August 2021.
论文官网地址：https://doi.org/10.1016/j.knosys.2021.107412
