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Port Management and Maritime Logistics
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Port Management and Maritime Logistics

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: closed (31 July 2023) | Viewed by 10965

Special Issue Editors

Dr. Jane Jing Haider

E-Mail Website
Guest Editor
Cardiff Business School, Cardiff University, Cardiff, UK
Interests: transport logistics; digital operations; sustainable logistics
Dr. Tsz Leung Yip

E-Mail Website
Guest Editor
Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University, Hong Kong, China
Interests: ports and terminals; commercial shipping; transport risk; low carbon logistics; transport research; transport policy studies; spatial analysis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Port management and maritime logistics have a particular significance in the discipline of marine science and engineering, especially in relation to decarbonisation and digitalisation in shipping.

Carbon emissions are monitored worldwide, and net-zero emissions is of utmost importance in response to climate change. Emerging fuel options, low-carbon shipping, and carbon value chains are amongst the essential features for achieving net-zero emissions by 2050. Meanwhile, there is a growing need for ports to advance their digital technology and infrastructure in order to become “smart ports”. Maritime logistics is in a transitional phase for the support of rising maritime trade and larger ships, and at the same time, in its progress to low- or zero-carbon operations. A closer cooperation amongst all stakeholders in port management and maritime logistics is key to meet 2050 objectives. 

The aim of this Special Issue is to collect valuable contributions on the developments and achievements in the topics of port management and maritime logistics, including on theory advancement, methodology development, and data sources.

Dr. Jane Jing Haider
Dr. Tsz Leung Yip
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
  • port management
  • smart port
  • alternative fuels
  • decarbonization in maritime logistics
  • digitalization in maritime logistics
  • zero-emission shipping
  • green shipping corridors
  • COP26 Clydebank Declaration

Published Papers (6 papers)

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Research

18 pages, 2303 KiB  
Article
Port Call Optimization at a Ferry Terminal with Stochastic Servicing Time and Additional Visits
by Jingwen Qi, Tingting Chen, Jianfeng Zheng and Shuaian Wang
J. Mar. Sci. Eng. 2023, 11(9), 1644; https://doi.org/10.3390/jmse11091644 - 23 Aug 2023
Viewed by 865
Abstract
Ferry shipping is an indispensable method of public transportation, especially in areas with well-developed river systems or coastal areas. The increasing demand for transport requires additional visits and introduces the problem of ship visit schedule engineering at ferry terminals with stochastic servicing time. [...] Read more.
Ferry shipping is an indispensable method of public transportation, especially in areas with well-developed river systems or coastal areas. The increasing demand for transport requires additional visits and introduces the problem of ship visit schedule engineering at ferry terminals with stochastic servicing time. In this paper, we propose a ferry visit planning problem to maximize the total profit, in which the berthing time, berthing location, and servicing time for each ferry visit are optimized. Then, a mixed-integer nonlinear programming model is proposed to formulate the focal problem. We propose a tailored solution method to convert the mixed-integer nonlinear programming model to a mixed-integer linear programming model. We further devise an inserting algorithm to test the performance of our model. A comparison between the results of the basic instance yielded by our model and those of the inserting algorithm validates our model and solution method. We then conduct sensitivity analyses of the impacts of different numbers of existing ferry visits and added ferry visits, different expectations of the real time taken by all the ferry visits, and different distribution patterns of existing ferry visits, to further validate the performance of our model. Full article
(This article belongs to the Special Issue Port Management and Maritime Logistics)
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15 pages, 2959 KiB  
Article
Identifying Transshipment Hubs in a Global Container Shipping Network: An Approach Based on Reinforced Structural Holes
by Qiang Zhang, Shunhao Pu and Ming Yin
J. Mar. Sci. Eng. 2023, 11(8), 1585; https://doi.org/10.3390/jmse11081585 - 12 Aug 2023
Viewed by 1440
Abstract
Transshipment hubs are important components of the global container shipping network. Nowadays, hybrid ports are emerging, handling both gateway and transshipment container traffic depending on their significant maritime connectivity. Effectively identifying transshipment hubs, including traditional transshipment hubs with high transshipment incidences and hybrid [...] Read more.
Transshipment hubs are important components of the global container shipping network. Nowadays, hybrid ports are emerging, handling both gateway and transshipment container traffic depending on their significant maritime connectivity. Effectively identifying transshipment hubs, including traditional transshipment hubs with high transshipment incidences and hybrid ports with sufficient transshipment capabilities, is crucial to gain a good understanding of container shipping networks. The method of reinforced structural holes (RSHs) has been introduced from the sociology to detect transshipment hubs at the global level, as it can fully consider the existence of separated cohesive port communities. The results show that the RSH-based approach is feasible to identify those hubs playing the role of bridges across different port communities worldwide, which is demonstrated from the perspective of maritime connectivity. The higher ranked hubs with higher RSH values generally have better maritime connections with ports from various port communities. Several policy implications have been further elaborated for relevant decision makers, such as liner companies and port operators. Full article
(This article belongs to the Special Issue Port Management and Maritime Logistics)
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19 pages, 3388 KiB  
Article
Bi-Objective Integrated Scheduling of Quay Cranes and Automated Guided Vehicles
by Yating Duan, Hongxiang Ren, Fuquan Xu, Xiao Yang and Yao Meng
J. Mar. Sci. Eng. 2023, 11(8), 1492; https://doi.org/10.3390/jmse11081492 - 26 Jul 2023
Cited by 6 | Viewed by 919
Abstract
Operational efficiency is one of the key performance indicators of a port’s service level. In the process of making scheduling plans for container terminals, different types of equipment are usually scheduled separately. The interaction between quay cranes (QCs) and automated guided vehicles (AGVs) [...] Read more.
Operational efficiency is one of the key performance indicators of a port’s service level. In the process of making scheduling plans for container terminals, different types of equipment are usually scheduled separately. The interaction between quay cranes (QCs) and automated guided vehicles (AGVs) is neglected, which results in low operational efficiency. This research explores the integrated scheduling problem of QCs and AGVs. Firstly, a multi-objective mixed integer programming model (MOMIP) is conducted, with the aim of minimizing the makespan of vessels and the unladen time of AGVs. Then, embedded with a new heuristic method, the non-dominated sorting genetic algorithm-II (NSGA-II) is designed for the scheduling problem. The heuristic method includes two parts: a bay-based QC allocation strategy and a container-based QC-AGV scheduling strategy. Finally, in order to test the performance of the proposed algorithm, differently sized benchmark tests are performed, and the results are compared to the multi-objective particle swarm optimization algorithm (MOPSO) and the weighted-sum method. The computational results indicate that the proposed algorithm can effectively solve the multi-objective integrated scheduling problem of QCs and AGVs. For large-scale problems, the NSGA-II algorithm has better performance and more obvious advantages compared to others. The proposed method has the capability of providing a theoretical reference for the QC and AGV scheduling of container terminals. Full article
(This article belongs to the Special Issue Port Management and Maritime Logistics)
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33 pages, 930 KiB  
Article
Evaluating the Service Capacity of Port-Centric Intermodal Transshipment Hub
by Tian Liu and Haiyan Wang
J. Mar. Sci. Eng. 2023, 11(7), 1403; https://doi.org/10.3390/jmse11071403 - 12 Jul 2023
Cited by 3 | Viewed by 1822
Abstract
Port-centric intermodal transshipment hubs are significant nodes in the global freight network and are likewise the gateway to a country’s external communications. It is vital to increase the service capacity of PCITHs, and it is necessary to assess the service capacity of port-centric [...] Read more.
Port-centric intermodal transshipment hubs are significant nodes in the global freight network and are likewise the gateway to a country’s external communications. It is vital to increase the service capacity of PCITHs, and it is necessary to assess the service capacity of port-centric intermodal transshipment hubs to respond to the growth of economies and global freight needs. This study provides a detailed definition of port-centric intermodal transshipment hubs through a review of relevant kinds of works from the literature and analyzes their primary functions. Based on the research perspective of sea–rail intermodal transportation, the three evaluation dimensions of service capacity of port-centric intermodal transshipment hubs are divided into radiation scale capacity, transportation connection capacity, and resource integration capacity, focusing on the functions of cargo aggregation, cargo transfer, and connection of different transportation modes. The service capacity evaluation indicators were then selected based on the three dimensions. The subjective and objective weightings were calculated by the G1 weighting method and the modified CRITIC method, and the combination weightings were determined based on game theory. The service capability of port-centric intermodal transshipment hubs was evaluated by the fuzzy matter element method, and the evaluation results were quantified by the Euclidean closeness degree. Finally, through the barrier degree model, the current indicators of PCITHs that urgently need improvement were explored, and targeted improvement suggestions are proposed in this paper. The results show that Tianjin Port has the highest service capacity, followed by Ningbo Zhoushan Port. The port rail dedicated line mileage is the most critical area that needs attention in Ningbo Zhoushan Port and Qingdao Port. Tianjin Port needs to improve the container sea–rail transportation volume, while Guangzhou Port and Xiamen Port need to improve the sea–rail container handling capacity. Full article
(This article belongs to the Special Issue Port Management and Maritime Logistics)
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28 pages, 3659 KiB  
Article
Exploring the Failure Mechanism of Container Port Logistics System Based on Multi-Factor Coupling
by Mengmeng Wang and Haiyan Wang
J. Mar. Sci. Eng. 2023, 11(5), 1067; https://doi.org/10.3390/jmse11051067 - 17 May 2023
Cited by 3 | Viewed by 1936
Abstract
Container ports are prone to delays, congestion, and logistics interruptions under the perturbation of uncertain events inside and outside the system. This not only affects the service quality of the system but also brings a serious blow to the whole transportation network. Therefore, [...] Read more.
Container ports are prone to delays, congestion, and logistics interruptions under the perturbation of uncertain events inside and outside the system. This not only affects the service quality of the system but also brings a serious blow to the whole transportation network. Therefore, this paper aims to develop a hybrid Bayesian network (BN) model to investigate the failure mechanism of the container port logistics system. Considering the complex coupling relationship between failure risks, the DEMATEL and ISM methods are presented to thoroughly analyze the interdependence and hierarchical structure of system failure factors. The failure evolution mechanism of the system is then analyzed using BN reasoning ability. The suggested hybrid model can identify the main failure factors, examine how factors are coupled, and produce the main propagation path resulting in system failure. The findings indicate that the risks associated with technology, facilities, and equipment are the most significant and immediate in the system; human risks affect all system components by acting on other factors; organizational management risks have a fundamental impact on the stability of the system; additionally, the uncertainty of external risks has greatly increased the variability of each logistics link. This study provides useful insights for port logistics risk management. Full article
(This article belongs to the Special Issue Port Management and Maritime Logistics)
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27 pages, 6236 KiB  
Article
Resilience Regulation Strategy for Container Port Supply Chain under Disruptive Events
by Bowei Xu, Weiting Liu and Junjun Li
J. Mar. Sci. Eng. 2023, 11(4), 732; https://doi.org/10.3390/jmse11040732 - 28 Mar 2023
Cited by 3 | Viewed by 1555
Abstract
There are many inevitable disruptive events, such as the COVID-19 pandemic, natural disasters and geopolitical conflicts, during the operation of the container port supply chain (CPSC). These events bring ship delays, port congestion and turnover inefficiency. In order to enhance the resilience of [...] Read more.
There are many inevitable disruptive events, such as the COVID-19 pandemic, natural disasters and geopolitical conflicts, during the operation of the container port supply chain (CPSC). These events bring ship delays, port congestion and turnover inefficiency. In order to enhance the resilience of the CPSC, a modified two-stage CPSC system containing a container pretreatment system (CPS) and a container handling system (CHS) is built. A two-dimensional resilience index is designed to measure its affordability and recovery. An adaptive fuzzy double-feedback adjustment (AFDA) strategy is proposed to mitigate the disruptive effects and regulate its dynamicity. The AFDA strategy consists of the first-level fuzzy logic control system and the second-level adaptive fuzzy adjustment system. Simulations show the AFDA strategy outperforms the original system, PID, and two pipelines for improved dynamic response and augmented resilience. This study effectively supports the operations manager in determining the proper control policies and resilience management with respect to indeterminate container waiting delay and allocation delay due to disruptive effects. Full article
(This article belongs to the Special Issue Port Management and Maritime Logistics)
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