Smart stacking for import containers using customer information at automated container terminals-Reference-Cited by-同舟云学术

Smart stacking for import containers using customer information at automated container terminals

Published:2021-10 Issue: Volume: Page:
ISSN:0377-2217
Container-title:European Journal of Operational Research
language:en
Short-container-title:European Journal of Operational Research

Author:

Feng Yuanjun^ORCID,Song Dong-Ping^ORCID,Li Dong

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modelling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference87 articles.

1. The block relocation problem with appointment scheduling;Azab;European Journal of Operational Research,2021

2. A branch-and-cut algorithm for the restricted Block Relocation Problem;Bacci;European Journal of Operational Research,2020

3. Robust optimization for premarshalling with uncertain priority classes;Boge;European Journal of Operational Research,2020

4. The parallel stack loading problem minimizing the number of reshuffles in the retrieval stage;Boge;European Journal of Operational Research,2020

5. Online rules for container stacking;Borgman;OR Spectrum,2010

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