A Predict-Then-Optimize Couriers Allocation Framework for Emergency Last-mile Logistics-Reference-Cited by-同舟云学术

A Predict-Then-Optimize Couriers Allocation Framework for Emergency Last-mile Logistics

Published:2023-08-04 Issue: Volume: Page:
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Container-title:Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Xia Kaiwen¹^ORCID,Lin Li²^ORCID,Wang Shuai²^ORCID,Wang Haotian³^ORCID,Zhang Desheng⁴^ORCID,He Tian³^ORCID

Affiliation:

1. Southeast University & JD Logistics, Nanjing, China

2. Southeast University, Nanjing, China

3. JD Logistics, Beijing, China

4. Rutgers University, Piscataway, USA

Funder

Science and Technology Innovation 2030 - Major Project

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580305.3599766

Reference49 articles.

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2. Machine Learning and Portfolio Optimization

3. Gerardo Berbeglia , Jean-Francc ois Cordeau, and Gilbert Laporte . 2010 . Dynamic pickup and delivery problems. European journal of operational research, Vol. 202 , 1 (2010), 8--15. Gerardo Berbeglia, Jean-Francc ois Cordeau, and Gilbert Laporte. 2010. Dynamic pickup and delivery problems. European journal of operational research, Vol. 202, 1 (2010), 8--15.

4. Crowddeliver: Planning city-wide package delivery paths leveraging the crowd of taxis;Chen Chao;IEEE Transactions on Intelligent Transportation Systems,2016

5. ASC

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