skip to main content
10.1145/3690407.3690480acmotherconferencesArticle/Chapter ViewAbstractPublication PagescaibdaConference Proceedingsconference-collections
research-article

Collaborative optimization of berth allocation and ship scheduling in inland river estuary ports

Published: 24 October 2024 Publication History

Abstract

To improve the operational efficiency of the inland river estuary port and optimize berth allocation strategies. A collaborative optimization model for berth allocation and ship scheduling in the inner estuary port is constructed by comprehensively considering multiple factors such as tidal influence at the estuary, berth type and ship adaptation, uneven ship speed, channel passage rules, and port layout in the estuary section. And using CPLEX to accurately solve, obtain the optimal entry and exit sequence and berth configuration strategy. Using the actual physical layout and ship data generated from the Waigaoqiao Port area as an example for solving, and comparing it with the scheduling scheme solved by the first come, first served rule, to verify the effectiveness of the collaborative scheduling scheme. The results indicate that the collaborative optimization of berth allocation and ship scheduling can improve the efficiency of port operations and have a certain positive effect on the organization of port water transportation. The research results can provide reference for the allocation of berths and ship scheduling strategies in actual estuarine ports, as well as ship proportion planning decisions.

References

[1]
De A, Choudhary A, Tiwari M K. Multiobjective approach for sustainable ship routing and scheduling with draft restrictions[J]. IEEE Transactions on Engineering Management, 2017, 66(1): 35-51.
[2]
Zhen L, Wang K, Wang S, et al. Tug scheduling for hinterland barge transport: A branch-and-price approach[J]. EuropeanJournal of Operational Research, 2018, 265(1): 119-132.
[3]
Lalla-Ruiz E, Shi X, Voß S. The waterway ship scheduling problem[J]. Transportation Research Part D: Transport and Environment, 2018, 60: 191-209.
[4]
Du Y, Chen Q, Lam J S L, et al. Modeling the impacts of tides and the virtual arrival policy in berth allocation[J]. Transportation Science, 2015, 49(4): 939-956.
[5]
Yu S, Wang S, Zhen L. Quay crane scheduling problem with considering tidal impact and fuel consumption[J]. FlexibleServices and Manufacturing Journal, 2017, 29: 345-368.
[6]
Dadashi A, Dulebenets M A, Golias M M, et al. A novel continuous berth scheduling model at multiple marine containerterminals with tidal considerations[J]. Maritime Business Review, 2017, 2(2): 142-157.
[7]
Jiao X, Zheng F, Liu M, et al. Integrated berth allocation and time-variant quay crane scheduling with tidal impact in approachchannel[J]. Discrete Dynamics in Nature and Society, 2018, 2018.
[8]
Sheikholeslami A, Mardani M, Ayazi E, et al. A dynamic and discrete berth allocation problem in container terminalsconsidering tide effects[J]. Iranian Journal of Science and Technology, Transactions of Civil Engineering, 2020, 44: 369-376.
[9]
Lalla-Ruiz E, Shi X, Voß S. The waterway ship scheduling problem[J]. Transportation Research Part D: Transport and Environment, 2018, 60: 191-209.
[10]
Corry P, Bierwirth C. The berth allocation problem with channel restrictions[J]. Transportation Science, 2019, 53(3): 708-727.

Index Terms

  1. Collaborative optimization of berth allocation and ship scheduling in inland river estuary ports

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    CAIBDA '24: Proceedings of the 2024 4th International Conference on Artificial Intelligence, Big Data and Algorithms
    June 2024
    1206 pages
    ISBN:9798400710247
    DOI:10.1145/3690407
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 24 October 2024

    Check for updates

    Author Tags

    1. Berth allocation
    2. CPLEX
    3. Collaborative optimization
    4. Estuary section of the channel
    5. Vessel sequencing

    Qualifiers

    • Research-article

    Conference

    CAIBDA 2024

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 16
      Total Downloads
    • Downloads (Last 12 months)16
    • Downloads (Last 6 weeks)1
    Reflects downloads up to 14 Feb 2025

    Other Metrics

    Citations

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Full Text

    View this article in Full Text.

    Full Text

    HTML Format

    View this article in HTML Format.

    HTML Format

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media