Two-echelon location-routing optimization with time windows based on customer clustering-Reference-Cited by-同舟云学术

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Two-echelon location-routing optimization with time windows based on customer clustering

Published:2018-08 Issue: Volume:104 Page:244-260
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Wang Yong,Assogba Kevin,Liu Yong,Ma Xiaolei,Xu Maozeng,Wang Yinhai

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Municipal Education Commission

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference52 articles.

1. Big data applications in operations/supply-chain management: A literature review;Addo-Tenkorang;Computers & Industrial Engineering,2016

2. Facility location decisions within integrated forward/reverse logistics under uncertainty;Ashfari;Procedia Cirp,2014

3. Research on reverse logistics location under uncertainty environment based on grey prediction;Bao;Physics Procedia,2012

4. Combining statistical learning with metaheuristics for the multi-depot vehicle routing problem with market segmentation;Calvet;Computers & Industrial Engineering,2016

5. A multiple-depot, multiple-vehicle, location-routing problem with stochastically processed demands;Chan;Computers & Operations Research,2001

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