A learning and optimization framework for collaborative urban delivery problems with alliances

• Main Authors: YANG, Jingfeng, LAU, Hoong Chuin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Alliances; Collaboration; Machine Learning; Pickup-and-delivery; Tabu Search; Artificial Intelligence and Robotics; Operations Research, Systems Engineering and Industrial Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/6231; https://ink.library.smu.edu.sg/context/sis_research/article/7234/viewcontent/ICCL_2021_Learning_and_Optimization_Framework_Alliance.pdf
• Institution: Singapore Management University

The emergence of e-Commerce imposes a tremendous strain on urban logistics which in turn raises concerns on environmental sustainability if not performed efficiently. While large logistics service providers (LSPs) can perform fulfillment sustainably as they operate extensive logistic networks, last-...