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Advances in Ship Design
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Advances in Ship Design

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 December 2021) | Viewed by 13928

Special Issue Editors

Prof. Dr. Myung-Il Roh

E-Mail Website
Guest Editor
Department of Naval Architecture and Ocean Engineering, Seoul National University, Seoul, Republic of Korea
Interests: design theory and methodology; optimum design; simulation-based design (numerical simulation, multibody dynamics); computational design (CAD, big data analytics, machine learning, virtual reality/augmented reality); integrated design (integrated simulation)
Prof. Dr. Kazuo Hiekata

E-Mail Website
Guest Editor
Department of Human and Engineered Environmental Studies, The University of Tokyo, Tokyo, Japan
Interests: ship design process; simulation-based design; knowledge management; complex systems design; decision support under uncertainty

Special Issue Information

Dear Colleagues,

Up to now, ship design has played a pivotal role in realizing safe and efficient ships. Despite such importance, some of the processes of ship design are still carried out by hand, which acts as an obstacle to increasing productivity. In recent times, various technologies such as artificial intelligence and big data are being developed and, due to advances in these new technologies, ship design also has the potential to further develop. Therefore, this SI was proposed to allow us to share such content with each other. Any papers incorporating the latest technology and practice in addition to the traditional ship design theory are welcome, so I hope that excellent papers from interested researchers will be submitted.

Please do not hesitate to contact us and Zara ([email protected]) if you have any queries.

Prof. Dr. Myung-Il Roh
Prof. Dr. Kazuo Hiekata
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

  • Design theory and methodology
  • Artifical intelligence for design
  • Big data analytics for design
  • Optimum design
  • Simulation-based design
  • Computational design
  • Integrated design
  • Design for GHG emission reduction

Published Papers (3 papers)

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Research

15 pages, 3625 KiB  
Article
Decision Support System for Technology Deployment Considering Emergent Behaviors in the Maritime Industry
by Kazuo Hiekata and Zhinan Zhao
J. Mar. Sci. Eng. 2022, 10(2), 263; https://doi.org/10.3390/jmse10020263 - 14 Feb 2022
Cited by 4 | Viewed by 2184
Abstract
The maritime industry is trying to utilize new technology for enhancing its competitiveness to overcome today’s severe economic situation, and some interact effects, or potentially emergent effects, will emerge during the introduction of these technologies. In this study, various simulations that relate to [...] Read more.
The maritime industry is trying to utilize new technology for enhancing its competitiveness to overcome today’s severe economic situation, and some interact effects, or potentially emergent effects, will emerge during the introduction of these technologies. In this study, various simulations that relate to marine logistics and shipping were performed. By contrast, a detailed method that can reproduce emergent effects is required to some extent. This study utilized a Monte Carlo simulation for uncertainties, such as market and failure uncertainties. To evaluate and explore the emergent effect correctly and accurately when multiple technologies are introduced, an evaluation methodology was developed, which can evaluate the interact effect from the perspective of profit improvement and CO2 reduction during the transportation period. As a case study, decision making for introducing 28 technology combinations to the maritime industry was conducted, and the utility of the proposed methodology was assessed. Full article
(This article belongs to the Special Issue Advances in Ship Design)
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23 pages, 5865 KiB  
Article
Basic Ship-Planning Support System Using Big Data in Maritime Logistics for Simulating Demand Generation
by Dimas Angga Fakhri Muzhoffar, Kunihiro Hamada, Yujiro Wada, Yusuke Miyake and Shun Kawamura
J. Mar. Sci. Eng. 2022, 10(2), 186; https://doi.org/10.3390/jmse10020186 - 29 Jan 2022
Viewed by 3239
Abstract
Dynamic changes in the global market demand affect ship development. Correspondingly, big data have provided the ability to comprehend the current and future conditions in numerous sectors and understand the dynamic circumstances of the maritime industry. Therefore, we have developed a basic ship-planning [...] Read more.
Dynamic changes in the global market demand affect ship development. Correspondingly, big data have provided the ability to comprehend the current and future conditions in numerous sectors and understand the dynamic circumstances of the maritime industry. Therefore, we have developed a basic ship-planning support system utilizing big data in maritime logistics. Previous studies have used a ship allocation algorithm, which only considered the ship cost (COST) along limited target routes; by contrast, in this study, a basic ship-planning support system is reinforced with particularized COST attributes and greenhouse gas (GHG) features incorporated into a ship allocation algorithm related to the International Maritime Organization GHG reduction strategy. Additionally, this system is expanded to a worldwide shipping area. Thus, we optimize the operation-level ship allocation using the existing ships by considering the COST and GHG emissions. Finally, the ship specifications demanded worldwide are ascertained by inputting the new ships instance. Full article
(This article belongs to the Special Issue Advances in Ship Design)
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18 pages, 4146 KiB  
Article
Ship Production Planning Using Shipbuilding System Modeling and Discrete Time Process Simulation
by Yui Okubo and Taiga Mitsuyuki
J. Mar. Sci. Eng. 2022, 10(2), 176; https://doi.org/10.3390/jmse10020176 - 28 Jan 2022
Cited by 8 | Viewed by 6624
Abstract
Production planning is an important factor for production efficiency in the shipyard. However, planning is currently executed by manual operations based on the experience of field workers because of the complexity of the target shipbuilding project. This paper proposes a method of creating [...] Read more.
Production planning is an important factor for production efficiency in the shipyard. However, planning is currently executed by manual operations based on the experience of field workers because of the complexity of the target shipbuilding project. This paper proposes a method of creating a realistic production plan automatically by modeling the complex shipbuilding project and using the developed process simulation. Specifically, we propose a method to represent the target shipbuilding process by four system models—Product, Workflow, Workplace, and Team. By executing the developed process simulation using system models, a Gantt chart can be created as a realistic production plan. From the case studies of a virtual shipyard manufacturing a ship hull block, it can be said that the proposed method can create a good production plan considering the complexity of the target shipbuilding project. In addition, the proposed method can evaluate the bottleneck of the target shipyard and the re-allocation plan for workers quantitatively. Full article
(This article belongs to the Special Issue Advances in Ship Design)
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