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Operations and Management for Sustainable and Green Maritime Transportation

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Transportation".

Deadline for manuscript submissions: closed (28 February 2022) | Viewed by 21044

Special Issue Editors


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Guest Editor

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Guest Editor
Transportation Engineering College, Dalian Maritime University, Dalian 116026, China
Interests: maritime transportation; liner shipping network design
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Economics & Management, Nanjing University of Science & Technology, Nanjing 210094, China
Interests: maritime logistics; transportation network design
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We cordially invite you to submit a paper to our Special Issue entitled “Operations and Management for Sustainable and Green Maritime Transportation” in Sustainability, which is covered by SSCI and SCIE and has an Impact Factor of 2.576.

With specific reference to maritime administration and management, the International Maritime Organization (IMO) noted with concern that the health of oceans and marine biodiversity are negatively affected by marine pollution from a number of land-based sources, including vessels and ports. To sustain the development of maritime transportation, “sustainable and green maritime,” which operates with a good balance between environmental impact and economic interests, has been the focus of marine industries and government agencies, and requires that they look into energy saving and reducing the impact of their operations on society and the environment.

Maintaining and improving the daily operations of vessels and ports is extremely complicated, capital-intensive, and cost-sensitive. Research on operations and management for sustainable and green maritime transportation are gaining ground in all aspects and sectors of the maritime industry, and mainly focus on efficiency and sustainability issues, involving the allocation or assignment of resources such as berthing space and yard space, the scheduling of critical equipment such as quay cranes, yard cranes, and container trucks (or AGVs), shipping service network design, fleet deployment, vessel speed optimization, vessel slot allocation, emission mitigation and reduction, etc. Along with these efficiency and sustainability issues in port and shipping operations, several new technologies have been emerging, such as digitalization, big data, data analytics, artificial intelligence, and block chain, to name a few. Nevertheless, the ever-tightening environmental and social criteria prescribed by international regulations has called for innovative scientific or data-driven approaches to manage maritime transportation activities.

This Special Issue on “Operations and Management for Sustainable and Green Maritime Transportation” to be published in Sustainability aims to bring together recent theoretical, applied, and methodological advances concerning operations and management in sustainable and green maritime transportation, regardless of whether they are related to hardware, software, or innovative approaches, and encourage the researchers in maritime studies to engage in deep thought to make maritime transportation sustainable and green.  Both research and review papers are welcomed.

The possible research topics include but are not limited to:

  • Sustainable maritime transportation planning and management;
  • Sustainable maritime network or fleet optimization;
  • Optimization models for port and shipping operations;
  • Revenue/yield management of maritime transportation;
  • Innovations for sustainability issues with emerging technologies;
  • Environmental issues in the maritime industry;
  • Sustainable maritime transportation and competitive advantages;
  • Managing sustainability through collaboration and coordination;
  • Economic analysis of sustainable maritime transportation;
  • Research for the future era of automatic shipping and ports.

Dr. Tingsong Wang
Dr. Shuaian (Hans) Wang
Dr. Jianfeng Zheng
Dr. Yadong 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. Sustainability is an international peer-reviewed open access semimonthly 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 2400 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

  • Sustainable and green
  • Operations and management
  • Optimization models

Published Papers (6 papers)

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Research

15 pages, 1559 KiB  
Article
A Bi-Level Programming Model for China’s Marine Domestic Emission Control Area Design
by Xuecheng Tian, Ran Yan, Jingwen Qi, Dan Zhuge and Hans Wang
Sustainability 2022, 14(6), 3562; https://0-doi-org.brum.beds.ac.uk/10.3390/su14063562 - 17 Mar 2022
Cited by 3 | Viewed by 1512
Abstract
Due to the adverse impact of seaborne sulfur emissions on coastal areas, the Ministry of Transport of the People’s Republic of China is planning to implement a 0.1% sulfur cap on bunker fuel in the domestic emission control area (DECA) on 1 January [...] Read more.
Due to the adverse impact of seaborne sulfur emissions on coastal areas, the Ministry of Transport of the People’s Republic of China is planning to implement a 0.1% sulfur cap on bunker fuel in the domestic emission control area (DECA) on 1 January 2025. As the current DECA width is only 12 NM, ships can bypass the DECA to reduce the use of high-priced ultra-low sulfur fuel oil (ULSFO) and thus save on fuel costs. The purpose of this study is first to assess the effect of China’s 12-NM-wide DECA policy and then to assist the government in determining the optimal DECA width. We develop a bi-level programming model to capture the relationship between the government policy and ship operators’ operations. In the lower-level programming model, we capture ship operators’ decisions regarding their ships’ sailing routes and speeds while considering the time required for fuel switching, which aims to minimize the total fuel costs over a given voyage. The optimal solution to the lower-level programming model is then embedded in the upper-level programming model to determine the optimal DECA width for the government, with the aim of minimizing the impact of seaborne sulfur emissions on the coastal area environment. The final results, obtained from computational experiments, validate the idea that ships tend to bypass the 12-NM-wide DECA and reduce their sailing speeds inside the DECA to decrease their use of ULSFO. Therefore, we recommend that the government increase the current DECA width to at least 112 NM to prevent ships from bypassing it and to achieve the desired sulfur reduction target. Full article
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15 pages, 1162 KiB  
Article
Research on Dynamic Cooperative Replenishment Optimization of Shipbuilding Enterprise Inventory Control under Uncertainty
by Ziquan Xiang, Jiaqi Yang, Muhammad Hamza Naseem and Wenjie Ge
Sustainability 2022, 14(4), 2113; https://0-doi-org.brum.beds.ac.uk/10.3390/su14042113 - 12 Feb 2022
Cited by 3 | Viewed by 1717
Abstract
Aiming at the problem of high inventory control costs of shipbuilding enterprises under uncertain conditions, this paper constructs and optimizes a dynamic collaborative replenishment model of shipbuilding enterprises inventory control. This model adopts integrated supply chain management theory and collaborative theory to analyze [...] Read more.
Aiming at the problem of high inventory control costs of shipbuilding enterprises under uncertain conditions, this paper constructs and optimizes a dynamic collaborative replenishment model of shipbuilding enterprises inventory control. This model adopts integrated supply chain management theory and collaborative theory to analyze the inventory control principle in shipbuilding enterprises, and its goal is to minimize the cost and maximize the service level. The dynamic replenishment strategy from two types of suppliers is given by using mathematical knowledge, such as optimization theory, probability theory, and mathematical statistics to solve the model. Finally, shipbuilding enterprises take paint inventory control as an example to test and verify the validity and correctness of the model by using numerical simulation and sensitivity analysis. The results show that the dynamic collaborative replenishment model of shipbuilding enterprises inventory control can make full use of the advantages of two types of suppliers. Additionally, it cannot only quickly respond to demand changes, but can also maintain low operating costs. Therefore, the dynamic collaborative replenishment model could effectively solve the problem of high inventory control costs of shipbuilding enterprises under uncertain conditions and has great application value and practical significance. Full article
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22 pages, 2970 KiB  
Article
Optimization Research on Vehicle Routing for Fresh Agricultural Products Based on the Investment of Freshness-Keeping Cost in the Distribution Process
by Shenjun Zhu, Hongming Fu and Yanhui Li
Sustainability 2021, 13(14), 8110; https://0-doi-org.brum.beds.ac.uk/10.3390/su13148110 - 20 Jul 2021
Cited by 7 | Viewed by 2924
Abstract
In cold chain logistics, fresh agricultural products are susceptible to deteriorate due to the passage of time in the distribution process. To reduce the loss of cargo, this research integrates the traditional refrigeration cost into the freshness-keeping cost invested in the process of [...] Read more.
In cold chain logistics, fresh agricultural products are susceptible to deteriorate due to the passage of time in the distribution process. To reduce the loss of cargo, this research integrates the traditional refrigeration cost into the freshness-keeping cost invested in the process of transportation and unloading goods. We rely on the investment of freshness-keeping cost to reduce the cargo damage cost caused by the distribution process and then propose a new vehicle routing problem (VRP). According to all relevant costs, this research builds a mathematical model with the goal of minimizing the total distribution cost. A hybrid ant colony optimization is designed to solve the problem, and the effectiveness of the model and algorithm are verified through two sets of comparative experiments. To determine which products should be invested in freshness-keeping cost to reduce the total distribution cost, we perform numerical analysis on the relevant parameters in the model. Results provide decision-making references for cold chain logistics distribution enterprises in the design of distribution routes. Full article
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16 pages, 2258 KiB  
Article
Decarbonization of Maritime Transport: Is There Light at the End of the Tunnel?
by Harilaos N. Psaraftis and Christos A. Kontovas
Sustainability 2021, 13(1), 237; https://0-doi-org.brum.beds.ac.uk/10.3390/su13010237 - 29 Dec 2020
Cited by 44 | Viewed by 8783
Abstract
The purpose of this paper is to assess the status and prospects of the decarbonization of maritime transport. Already more than two years have passed since the landmark decision of the International Maritime Organization (IMO) in April 2018, which entailed ambitious targets to [...] Read more.
The purpose of this paper is to assess the status and prospects of the decarbonization of maritime transport. Already more than two years have passed since the landmark decision of the International Maritime Organization (IMO) in April 2018, which entailed ambitious targets to reduce greenhouse gas (GHG) emissions from ships. The paper attempts to address the following three questions: (a) where do we stand with respect to GHG emissions from ships, (b) how is the Initial IMO Strategy progressing, and (c) what should be done to move ahead? To that effect, our methodology includes commenting on some of the key issues addressed by the recently released 4th IMO GHG study, assessing progress at the IMO since 2018, and finally identifying other issues that we consider relevant and important as regards maritime GHG emissions, such as for instance the role of the European Green Deal and how this may interact with the IMO process. Even though the approach of the paper is to a significant extent qualitative, some key quantitative and modelling aspects are considered as well. On the basis of our analysis, our main conjecture is that there is not yet light at the end of the tunnel with respect to decarbonizing maritime transport. Full article
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12 pages, 423 KiB  
Article
Sustainable Ship Loading Planning for Prefabricated Products in the Construction Industry
by Wen Yi, Robyn Phipps and Hans Wang
Sustainability 2020, 12(21), 8905; https://0-doi-org.brum.beds.ac.uk/10.3390/su12218905 - 27 Oct 2020
Cited by 8 | Viewed by 2138
Abstract
This paper focuses on sustainable transportation of prefab products from factories to construction sites by ship. Since the transportation cost for all the prefab products of a construction site is mainly dependent on the number of cargo holds used on ships, a loading [...] Read more.
This paper focuses on sustainable transportation of prefab products from factories to construction sites by ship. Since the transportation cost for all the prefab products of a construction site is mainly dependent on the number of cargo holds used on ships, a loading plan for prefab products that minimizes the number of holds required is highly desirable. This paper is therefore devoted to the development of an optimal loading plan that decides which prefab products are loaded into each cargo hold and how to pack these prefab products into the holds so that as few holds as possible are used. We formulate the problem as a large-scale integer optimization model whose objective function is to minimize the total number of cargo holds used and whose constraints represent the cargo hold capacity limits. We develop a heuristic to solve the problem and obtain a high-quality solution. We have tested the model and algorithm on a case study that includes 20 prefab products. We find that different cargo holds carry prefab products that have quite different densities. Moreover, the orientations of many prefab products are different from their default orientations. The results demonstrate the applicability of the proposed model and algorithm. Full article
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22 pages, 3680 KiB  
Article
Toward Sustainable Ferry Routes in Korea: Analysis of Operational Efficiency Considering Passenger Mobility Burdens
by Thi Quynh Mai Pham, Gunwoo Lee and Hwayoung Kim
Sustainability 2020, 12(21), 8819; https://0-doi-org.brum.beds.ac.uk/10.3390/su12218819 - 23 Oct 2020
Cited by 4 | Viewed by 2801
Abstract
With its long coastline, and numerous inlets and offshore islands, coastal ferry industries play a vital role in Korean maritime transportation. This study focuses on the southwestern part of Korea, Mokpo (which has the most inhabited islands and the highest proportion of elderly [...] Read more.
With its long coastline, and numerous inlets and offshore islands, coastal ferry industries play a vital role in Korean maritime transportation. This study focuses on the southwestern part of Korea, Mokpo (which has the most inhabited islands and the highest proportion of elderly island residents), and aims to evaluate the impact of passengers’ mobility burdens on the efficiency of ferry routes to achieve a better service for passengers. Integrated principal component analysis–data envelopment analysis and a fuzzy C-means clustering method were applied to analyze the efficiency of ferry routes in the Mokpo area. The efficiency results indicate that longer routes do not always achieve high-efficiency scores. The proportion of general passengers appears to influence the efficiency improvements of both general and subsidiary ferry routes. These findings can assist in better comprehending the relationship between passengers’ mobility burdens and ferry route efficiencies; this will enable the authorities and ferry management departments to develop appropriate policies and strategies and to reconstruct certain features of the inefficient routes, thereby increasing operational efficiency, reducing mobility burdens, and improving the convenience of ferry travel and sustainability of Korean passenger routes. Full article
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