Data-driven optimization approaches for dynamic urban logistics operational problems

Given the rapid pace of urbanization, there is a pressing need to optimize urban logistics delivery operations for enhanced capacity and efficiency. Over recent decades, a multitude of optimization approaches have been put forth to address urban logistics challenges, encompassing routing and schedul...

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Bibliographic Details
Main Author: YANG, Jingfeng
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2023
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Online Access:https://ink.library.smu.edu.sg/etd_coll/537
https://ink.library.smu.edu.sg/context/etd_coll/article/1535/viewcontent/GPIS_AY2018_PhD_Yang_Jingfeng.pdf
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Institution: Singapore Management University
Language: English
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