Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.4
2.7
Journals
JMSE
Special Issues
Maritime Logistics and Green Shipping
share announcement

Maritime Logistics and Green Shipping

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 8220

Special Issue Editors

Prof. Dr. Shuaian Wang

E-Mail Website
Guest Editor
Department of Logistics and Maritime Studies, Faculty of Business, The Hong Kong Polytechnic University, Hongkong
Interests: big data in shipping; low-carbon and green shipping; shipping operations management; port operations; urban transport
Special Issues, Collections and Topics in MDPI journals
Dr. Ran Yan

E-Mail Website
Guest Editor
School of Civil and Environmental Engineering, Nanyang Technological University (NTU), Singapore
Interests: data analytics in maritime studies; big data in maritime transport; green-shipping management; maritime risk management; port and shipping optimization
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The last two decades have witnessed a significant decline in the emissions of air pollutants from all transport sectors. However, the shipping sector is one exception, which have experienced increased nitrogen oxide emissions. Greenhouse gas (GHG) emissions, which have been one of the most discussed environmental concerns in recent years, from international shipping have increased by about 30% over the past two decades due to the increase in transportation volume. To reduce air pollutants and GHG emissions from shipping activities and thus mitigate their adverse impact on human health and the environment, various countermeasures are being adopted by the International Maritime Organization (IMO) in collaboration with local governments. For example, Emission Control Areas (ECAs) of sulfur and nitrogen oxide are designed and implemented by the IMO, and the Energy Efficiency Design Index (EEDI) and the Ship Energy Efficiency Management Plan (SEEMP) are adopted to reduce emissions of GHGs from international shipping. In addition, vessel sailing and emission data reporting systems are mandated by the EU (the Monitoring, Reporting, Verification [MRV] Regulation) and the IMO (the Data Collection System [DCS]). Starting from 2023, it is mandatory for all ships to calculate their attained Energy Efficiency Existing Ship Index (EEXI), measure their energy efficiency, and collect data to report their annual operational Carbon Intensity Indicator (CII) and CII rating.

It is evident that path for future development of the shipping industry is guided by the principles of sustainability. Given this context, we propose a Special Issue, supervised by the International Forum on Shipping, Ports and Airports (IFSPA) in collaboration with the School of Civil and Environmental Engineering, Nanyang Technological University, Singapore, and the Department of Logistics and Maritime Studies, the Hong Kong Polytechnic University, Hong Kong SAR, which aims to promote research on realizing cleaner maritime logistics and supply chain. This Special Issue seeks to provide a platform for scholars, researchers, and students to interact and exchange their knowledge on a range of topics related to transport and logistics. We invite high-quality submissions addressing the different approaches to advance cleaner maritime cargo logistics and supply chain from varied perspectives, which will benefit academic scholars, maritime industrial practitioners, shipping companies, maritime agencies and authorities, as well as policy makers. Potential topics include, but is not limited to, the following:

  • Green shipping logistics management;
  • Carbon neutrality in marine logistics;
  • Maritime transport logistical supply chain;
  • New type of logistics and port with low energy consumption and low pollution;
  • Assessment methods, modelling and simulation in maritime logistics;
  • Data analysis and digital twin technology for /shipping or port development;
  • Network analysis and scheduling for green maritime transportation;
  • Marine ecosystem, marine conservation and fisheries and marine resource;
  • Sustainable issues in maritime transport;
  • Autonomous ship, arctic shipping, smart shipping and coastal shipping.

Prof. Dr. Shuaian Wang
Dr. Ran Yan
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

  • maritime logistics operations
  • green shipping optimization
  • green port management
  • sustainable maritime transport
  • green strategies in maritime transportation system

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (4 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

16 pages, 3968 KiB  
Article
Energy Saving in Ship Central Cooling Systems: IMC-Tuned PID with Feedforward Control
by Tae-Youl Jeon and Young-Chan Lee
J. Mar. Sci. Eng. 2025, 13(3), 510; https://doi.org/10.3390/jmse13030510 - 5 Mar 2025
Viewed by 577
Abstract
This study examines the energy savings in a ship’s central cooling system using feedforward control with IMC (Internal Model Control)-based PID tuning. A central cooling system is essential for maintaining the temperature of the engine and other major machinery, thereby improving the overall [...] Read more.
This study examines the energy savings in a ship’s central cooling system using feedforward control with IMC (Internal Model Control)-based PID tuning. A central cooling system is essential for maintaining the temperature of the engine and other major machinery, thereby improving the overall energy efficiency. The seawater pump in the central cooling system consumes a relatively large amount of power, which makes efficient operation essential. This study compared the power consumption of variable-speed seawater pumps based on actual operational data from a ship. By incorporating a feedforward PI controller into the IMC-based PI-PID controller combinations, this study simulated energy savings. The results indicate that the proposed controller combined with the feedforward PI controller reduces the power consumption of seawater pumps compared with conventional methods. Simulation tests were conducted using approximately 11 days of operational data to verify the effectiveness of the proposed control strategy in achieving energy savings. The proposed controller combination saves approximately 277.4 kWh of power over 11 days compared to conventional control methods. Full article
(This article belongs to the Special Issue Maritime Logistics and Green Shipping)
►▼ Show Figures

Figure 1

23 pages, 1997 KiB  
Article
Enhanced MILP Approach for Long-Term Multi-Vessel Maritime Inventory Routing with Application to Antarctic Logistics
by Dagoberto Cifuentes-Lobos, Lorena Pradenas and Victor Parada
J. Mar. Sci. Eng. 2025, 13(2), 272; https://doi.org/10.3390/jmse13020272 - 31 Jan 2025
Viewed by 781
Abstract
The maritime inventory routing problem (MIRP) integrates vessel routing and inventory management over a planning horizon to optimize logistical operations in marine environments. While existing models predominantly address short-term planning with single vessels, this research advances the field by presenting a tightened mixed-integer [...] Read more.
The maritime inventory routing problem (MIRP) integrates vessel routing and inventory management over a planning horizon to optimize logistical operations in marine environments. While existing models predominantly address short-term planning with single vessels, this research advances the field by presenting a tightened mixed-integer linear programming (MILP) model designed for long-term planning with multiple vessels. The proposed model leverages an improved mathematical formulation and state-of-the-art optimization solvers to enhance computational performance. To demonstrate its applicability, the model was evaluated using benchmark instances from the literature and new instances derived from the logistics of Chilean scientific bases in Antarctica, a challenging and underexplored maritime environment. The results show computational time reductions of up to 98% for small to medium-sized instances, achieved through the incorporation of valid inequalities into the model and the use of advanced hardware and solvers. For larger instances, optimal or near-optimal solutions were achieved within one hour for a planning horizon of 60 time units, with optimality gaps below 24.7% for a 120-time-unit horizon. These findings highlight the potential of the model to support decision-making in complex maritime logistics scenarios, extending its application to long-term, multi-vessel operations in remote and environmentally sensitive regions. The proposed framework provides a valuable tool for enhancing the sustainability and efficiency of maritime logistics systems. Full article
(This article belongs to the Special Issue Maritime Logistics and Green Shipping)
►▼ Show Figures

Figure 1

34 pages, 3160 KiB  
Article
Risk-Aware Vessel Scheduling and Routing Optimization with CVaR and LSTM-MSNet Prediction
by Zhichao Cao, Zhiwei Zhu, Weike Lu and Silin Zhang
J. Mar. Sci. Eng. 2025, 13(2), 207; https://doi.org/10.3390/jmse13020207 - 22 Jan 2025
Viewed by 798
Abstract
This paper proposes an integrated optimization model for vessel scheduling and routing. The objective is to maximize shipping company profits while considering profit volatility using the Conditional Value-at-Risk metric to master risks from demand fluctuations. Simultaneously, the model balances the spot and contract [...] Read more.
This paper proposes an integrated optimization model for vessel scheduling and routing. The objective is to maximize shipping company profits while considering profit volatility using the Conditional Value-at-Risk metric to master risks from demand fluctuations. Simultaneously, the model balances the spot and contract container allocation by optimally adjusting shipping speeds so as to minimize carbon emissions. We account for vessel deployment, chartering costs, delay penalties, fuel expenses, and weather conditions to ensure the model’s compatibility with the practical transporting environment. In particular, a hybrid demand prediction model, combining long short-term memory and multi-scale network techniques, predicts spot and contract container volumes at ports, facilitating real-time allocation and more precise scheduling optimization. Two hybrid heuristics, one adaptive large-neighborhood search algorithm, and the Gurobi solver are devised and compared based on the efficiency and accuracy of solving the model. The results indicate that our optimization offers practical insights for shipping companies, enabling them to achieve a better trade-off between profits and risks, promoting a promising maritime transport career. Full article
(This article belongs to the Special Issue Maritime Logistics and Green Shipping)
►▼ Show Figures

Figure 1

21 pages, 407 KiB  
Article
Pursuing Optimization Using Multimodal Transportation System: A Strategic Approach to Minimizing Costs and CO2 Emissions
by Ivan Derpich, Claudia Duran, Raul Carrasco, Fabricio Moreno, Christian Fernandez-Campusano and Leonardo Espinosa-Leal
J. Mar. Sci. Eng. 2024, 12(6), 976; https://doi.org/10.3390/jmse12060976 - 11 Jun 2024
Cited by 3 | Viewed by 4458
Abstract
The core problem of a multimodal transportation system is integrating various transportation modes into a cohesive, efficient, and user-friendly network. This study introduces a novel centralized load concentration approach for regions facing geographic challenges. The principal aim is improving multimodal transportation systems by [...] Read more.
The core problem of a multimodal transportation system is integrating various transportation modes into a cohesive, efficient, and user-friendly network. This study introduces a novel centralized load concentration approach for regions facing geographic challenges. The principal aim is improving multimodal transportation systems by mitigating CO2 emissions and improving operational efficiency. This will significantly reduce high logistics costs and the environmental impact caused by greenhouse gas emissions, particularly in land transportation, aligning with the global sustainable development goals and offering a promising path towards a more sustainable future. The proposed method implicates direct cargo transportation from its origin to the export ports without passing through intermediate centers. The mathematical model determines the most efficient means of transportation for each route, considering variables such as distance, volume, and type of cargo. Research results indicate that multiple hubs may not be necessary in scenarios with high freight concentration, which could streamline transportation and logistics operations. The modal preferences vary depending on regional dynamics and cargo characteristics, with rail and sea transport emerging as preferable options in specific circumstances, outperforming road transport. The proposed model shows reductions in logistics costs and CO2 emissions compared to road-focused scenarios. This study provides an adaptable framework for optimizing multimodal transportation systems in regions with similar geographic and logistical attributes. It offers a versatile solution to various contexts and needs. Lastly, the strategic integration of multiple modes of transportation is fundamental to improving efficiency and sustainability. Full article
(This article belongs to the Special Issue Maritime Logistics and Green Shipping)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-4
Back to TopTop