Integrated optimisation of loading schedules and delivery routes-Reference-Cited by-同舟云学术

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Integrated optimisation of loading schedules and delivery routes

Published:2022-07-22 Issue: Volume: Page:1-18
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Liang Yijing¹,Wang Xin²,Luo Zhixing³,Zhang Dezhi⁴^ORCID

Affiliation:

1. School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha, People's Republic of China

2. Department of Industrial Systems Engineering and Management, National University of Singapore 1, Singapore, Singapore

3. School of Management and Engineering, Nanjing University, Nanjing, People's Republic of China

4. School of Traffic and Transportation Engineering, Central South University, Changsha, Hunan, People's Republic of China

Funder

Young Elite Scientists Sponsorship Program by China Association for Science and Technology

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2022.2101401

Reference31 articles.

1. New Route Relaxation and Pricing Strategies for the Vehicle Routing Problem

2. An adaptive large neighborhood search heuristic for the vehicle routing problem with time windows and delivery robots

3. Slack Induction by String Removals for Vehicle Routing Problems

4. CONGRESS.GOV. 2011. “H.R.756 112th Congress (2011–2012).” https://www.congress.gov/bill/112th-congress/house-bill/756/text

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1. A multioperator genetic algorithm for the traveling salesman problem with job-times;Expert Systems with Applications;2024-04

2. Mixed-integer programming model and hybrid local search genetic algorithm for human–robot collaborative disassembly line balancing problem;International Journal of Production Research;2023-04-18

3. Analytics and machine learning in scheduling and routing research;International Journal of Production Research;2023-01-01

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