Smart Seaport and Maritime Transport Management

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Coastal Engineering".

Deadline for manuscript submissions: 30 August 2024 | Viewed by 934

Special Issue Editors


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Guest Editor
Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong
Interests: maritime studies; data-driven decision-making; machine learning; large-scale optimization; optimization under uncertainty; production and logistics operations
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Special Issue Information

Dear Colleagues,

The rapid advancements in technology have revolutionized various industries, and the maritime sector is no exception. Smart seaports and maritime transport management systems have emerged as key drivers of efficiency, sustainability, and safety in the global shipping industry. These intelligent systems leverage cutting-edge technologies, such as the Internet of Things (IoT), artificial intelligence (AI), big data analytics, operations research, and automation, to optimize port operations, enhance vessel management, and streamline supply chain logistics.

This Special Issue aims to gather state-of-the-art research and advancements in the field of smart seaport and maritime transport management. Ultimately, it will provide a platform for researchers, academicians, and industry professionals to present their original research, case studies, and innovative solutions addressing the challenges, opportunities, and best practices associated with the implementation and operation of intelligent systems in maritime environments.

Papers are invited on various aspects related to smart seaport and maritime transport management. Potential topics include, but are not limited to:

  • Intelligent port infrastructure and automation systems;
  • IoT-enabled vessel monitoring and management;
  • Data-driven decision support systems for port and shipping operations;
  • Predictive maintenance and condition monitoring of maritime assets;
  • Big data analytics for optimizing cargo handling and logistics;
  • Blockchain applications in maritime supply chain management;
  • Cybersecurity and risk management in smart seaports;
  • Environmental sustainability and energy efficiency in maritime operations;
  • Integration of AI and machine learning in port and vessel operations;
  • Autonomous vessels and unmanned systems in maritime transport.

Dr. Lingxiao Wu
Prof. Dr. Shuaian Wang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Marine Science and Engineering is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • port operations
  • shipping management
  • operations research
  • data analytics

Published Papers (1 paper)

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Research

23 pages, 1778 KiB  
Article
Optimization of Berth-Tug Co-Scheduling in Container Terminals under Dual-Carbon Contexts
by Yan Wang and Tianyu Zou
J. Mar. Sci. Eng. 2024, 12(4), 684; https://doi.org/10.3390/jmse12040684 - 21 Apr 2024
Viewed by 555
Abstract
In order to address the dynamic changes in vessel preferences for berth lines caused by the deployment of shore-based power equipment in major ports and the collaborative scheduling problem of berthing and towing assistance, this paper quantifies the environmental costs of pollutants from [...] Read more.
In order to address the dynamic changes in vessel preferences for berth lines caused by the deployment of shore-based power equipment in major ports and the collaborative scheduling problem of berthing and towing assistance, this paper quantifies the environmental costs of pollutants from the main engines of tugs and auxiliary engines of container ships using an environmental tax. Additionally, considering the economic costs such as vessel delay and shore power cable connection, a two-layer mixed-integer linear programming model is constructed using the task sequence mapping method. This model integrates the allocation of continuous berths at container terminals with coordinated towing scheduling for shore power selection. A solution approach is designed by combining the commercial solver (CPLEX) and the immune particle swarm optimization algorithm (IAPSO). The proposed scheme is validated using the example of the Nansha Phase IV Terminal at the Port of Guangzhou. The results show that compared to the traditional first-come-first-served and adjacent scheduling schemes, the collaborative scheduling scheme proposed in this paper reduces the total cost by 21.73%. By effectively utilizing berth resources and shore power equipment while densely arranging collaborative tasks and appropriately increasing the number of tugs, the port can convert the economic cost of leasing a small number of tugs (increased by 10.63%) into environmental benefits (decreased by 33.88%). This approach provides a reference for addressing nearshore pollution emissions in ports. Full article
(This article belongs to the Special Issue Smart Seaport and Maritime Transport Management)
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