New Trends in Engineering and Operational Research on Container Supply Chain Management for Resilience, Digitalization, Intelligence and Sustainability

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

Deadline for manuscript submissions: 20 May 2025 | Viewed by 665

Special Issue Editors


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Guest Editor
The Container Supply Chain Technology Engineering Research Center of the Ministry of Education, Logistics Engineering College, Shanghai Maritime University, Shanghai 201308, China
Interests: port operations; shipping; logistics; supply chain

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Guest Editor
Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University, Kowloon, Hung Hom, Hong Kong
Interests: large-scale optimization; decision making under uncertainty; data-driven decision making; green shipping management; smart transportation
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Thrust of Intelligent Transportation, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China
Interests: data-driven modeling and optimization; decision support systems; transportation and logistics management

Special Issue Information

Dear Colleagues,

Container transportation serves as the cornerstone of global economic integration and the smooth, efficient operation of global supply chains. In recent years, with escalating geopolitical conflicts, the rise in anti-globalization trends, technological transformations, stricter emissions regulations, and innovations in port operations have brought both challenges and opportunities for container supply chain management, particularly in maritime shipping. Therefore, it is critical to enhance the resilience, digitization, intelligence, and sustainability of container shipping management.

This Special Issue focuses on presenting new engineering or operational research related to container port operations, container logistics for port entry and exit, hinterland connectivity, and container shipping management. Key areas of interest include performance monitoring and enhancement in resilience, digitization, intelligence, and sustainability across various aspects of container transport, such as port operations, shipping management, multimodal transport, and inland waterways. Some specific areas are (i) the optimization of maritime networks, container port operations, and route planning, as well as logistics for trucks, rail, or barges accessing terminals; (ii) the application of emerging technologies—such as digitization, big data, artificial intelligence (AI), digital twins, blockchain, autonomous vessels, and drones—in port and shipping management; (iii) the use of LNG-powered ships, electric vessels, alternative maritime fuels, and strategies for low-carbon, green, and sustainable container shipping; and (iv) managing disruptions and emergencies, along with risk analysis and control in maritime operations. The modeling employed might include artificial intelligence, machine learning, routing and cargo load planning, facilities layout and design, or automation design.

We welcome the submission of both general and case-based articles that are analytically oriented with a focus on engineering from academic and professional researchers and practitioners to explore this area further.

Prof. Dr. Hongtao Hu
Prof. Dr. Tingsong Wang
Dr. Yiwei Wu
Dr. Shuai Jia
Guest Editors

Manuscript Submission Information

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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.

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Keywords

  • container logistics
  • maritime shipping
  • sustainable supply chain
  • emerging technologies
  • disruptions and emergencies
  • operations and management
  • mathematical programming
  • combinatorial optimization

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Published Papers (1 paper)

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Research

26 pages, 2728 KiB  
Article
Deploying Liquefied Natural Gas-Powered Ships in Response to the Maritime Emission Trading System: From the Perspective of Shipping Alliances
by Yulong Sun, Jianfeng Zheng, Xin He, Zhihao Zhao and Di Cui
J. Mar. Sci. Eng. 2025, 13(3), 551; https://doi.org/10.3390/jmse13030551 - 12 Mar 2025
Viewed by 392
Abstract
In response to climate change caused by shipping, the maritime emission trading system (METS) is used to reduce ship carbon emissions, and the METS also imposes additional costs on shipping carriers through emission permit trading. This paper focuses on the deployment of liquefied [...] Read more.
In response to climate change caused by shipping, the maritime emission trading system (METS) is used to reduce ship carbon emissions, and the METS also imposes additional costs on shipping carriers through emission permit trading. This paper focuses on the deployment of liquefied natural gas-powered (LNG-powered) ships for shipping alliances to comply with the METS. From the perspective of a liner alliance, we investigate how to determine the deployment of LNG-powered ships and how ship emissions will be affected. To investigate these problems, we propose an LNG-powered fleet deployment problem, which integrates slot co-chartering and emission permit trading, to determine the fleet deployment of LNG-powered and oil-powered ships, ship speeds and container shipment. To formulate our proposed problem, we develop a mixed-integer linear programming model, which can be solved effectively by CPLEX. Numerical experiments are provided to assess the effectiveness of our proposed model. Full article
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