Proceedings of the 2018 3rd International Conference on Education, E-learning and Management Technology (EEMT 2018)

Study on the Continuous Berth Allocation Problem

Authors
Xinxin Yan, Hanping Hou, Jianliang Yang, Chenyang Zhao, Xuehui Wang, Xue Li
Corresponding Author
Xinxin Yan
Available Online December 2018.
DOI
https://doi.org/10.2991/iceemt-18.2018.76How to use a DOI?
Keywords
Continuous berth allocation; total time in port; prediction; Genetic Algorithm
Abstract
Rationally making berthing plan and reducing waiting time of ship in port have great practical significance to improve wharf service quality and competitive strength. On the basis of studying and summarizing the research theories and model algorithms of domestic and foreign scholars in recent years, this paper studies the continuous berth allocation problem. Suppose that ship types, ETA time, loading time are known, the pier depth is enough to satisfy all types of ships berthing and the ship has no preference position. The integer programming model is established with the shortest total time as the objective function and the genetic algorithm is designed to solve the model. Finally, an example is given to verify the validity of the proposed model. Compared with the first come first served principle, it can optimize the allocation of berth.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 3rd International Conference on Education, E-learning and Management Technology (EEMT 2018)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
December 2018
ISBN
978-94-6252-624-2
ISSN
2352-5398
DOI
https://doi.org/10.2991/iceemt-18.2018.76How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xinxin Yan
AU  - Hanping Hou
AU  - Jianliang Yang
AU  - Chenyang Zhao
AU  - Xuehui Wang
AU  - Xue Li
PY  - 2018/12
DA  - 2018/12
TI  - Study on the Continuous Berth Allocation Problem
BT  - 2018 3rd International Conference on Education, E-learning and Management Technology (EEMT 2018)
PB  - Atlantis Press
SP  - 393
EP  - 397
SN  - 2352-5398
UR  - https://doi.org/10.2991/iceemt-18.2018.76
DO  - https://doi.org/10.2991/iceemt-18.2018.76
ID  - Yan2018/12
ER  -