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

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

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-...

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Bibliographic Details
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
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Institution: Singapore Management University
Language: English

Internet

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

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