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Abstract This study presents a comprehensive review of various research efforts aimed at optimizing ship arrangement design. A detailed comparative analysis was conducted on studies that approached ship arrangement design from an optimization perspective. Therefore, the fundamental components of an optimization problem (design variables, objective functions, and constraints) were systematically summarized. Ship arrangement design problems encompass a broad range of applications, including compartments, cabins, and equipment, and the problem definitions for each were compared and analysed. In ship arrangement design, the design variables subject to optimization primarily include the positions of bulkheads, the order of compartment assignments, and, in the case of cabins, elements such as corridors connecting cabins. For equipment arrangement, design variables consider the location of the equipment and, for multilayer arrangement, the floor on which the equipment is to be placed. Regarding objective functions, various studies proposed and applied different functions to optimize operability for improving operational efficiency, stability for enhancing survivability, and cost efficiency, which is particularly critical for merchant vessels. Finally, constraints were considered, including a range of physical constraints and regulatory constraints that vary by ship type. Using these definitions, ship arrangement optimization problems were applied across different ship types, and the study discusses how future research in ship arrangement optimization may develop further.
Publication Date 2024-12-12
Role Corresponding Author
Category SCIE

Ki-Su Kim, Myung-Il Roh, “Review of Ship Arrangement Design Using Optimization Methods”, Journal of Computational Design and Engineering, Vol.12, Issue 1, pp. 100-121, 2024.12.12

https://doi.org/10.1093/jcde/qwae112

  1. Ki-Su Kim, Myung-Il Roh, “Review of Ship Arrangement Design Using Optimization Methods”, accepted for publication in Journal of Computational Design and Engineering, 2024.12.07

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  7. Jin-Hyeok Kim, Myung-Il Roh, In-Chang Yeo, "Hull Form Optimization of Fully Parameterized Small Ships Using Characteristic Curves and Deep Neural Networks", International Journal of Naval Architecture and Ocean Engineering, 2024.05.08

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  8. Hyun-Soo Kim, Myung-Il Roh, “Interpretable, Data-driven Models for Predicting Shaft Power, Fuel Consumption, and Speed Considering the Effects of Hull Fouling and Weather Conditions”, IJNAOE, 2024.04.14

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  9. Donghun Yu, Myung-Il Roh, “Method for Anti-collision Path Planning Using Velocity Obstacle and A* Algorithms for a Maritime Autonomous Surface Ship”, International Journal of Naval Architecture and Ocean Engineering, Vol. 16, 2024.02.02

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  10. Do-Hyun Chun, Myung-Il Roh, Hye-Won Lee, Donghun Yu, "Method for Collision Avoidance Based on Deep Reinforcement Learning with Path-Speed Control for an Autonomous Ship", IJNAOE, Vol. 16, pp. 100579.1-19, 2023.12.22

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  11. Do-Hyun Chun, Myung-Il Roh, In-Chang Yeo, Hye-Won Lee, “Proposed Method for Design Optimization of LNG Tanks Based on the Arrangement of Thermal Insulation Panels”, Ocean Engineering, Vol. 288, Part 2, pp. 116063.1-14, 2023.11.15

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  12. Jisang Ha, Myung-Il Roh, Ki-Su Kim, Jin-Hyeok Kim, "Method for Pipe Routing Using the Expert System and the Heuristic Pathfinding Algorithm in Shipbuilding", International Journal of Naval Architecture and Ocean Engineering, 2023.05.26

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  13. In-Chang Yeo, Myung-Il Roh, Do-Hyun Chun, Seok Ho Jang, Jae Won Heo, "Optimal Arrangement Design of Pipeline Support by Considering Safety and Production Cost", International Journal of Naval Architecture and Ocean Engineering, 2023.05.10

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  14. Hye-Won Lee, Myung-Il Roh, Yeong-Min Cho, Jeong-Ho Park, "Data Association for Autonomous Ships Based on the Virtual Simulation Environment", Ocean Engineering, Vol. 281, pp. 114646.1-17, 2023.08.01

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  15. Min-Chul Kong, Myung-Il Roh, Ki-Su Kim, Ho-Gyun Park, Jong-Oh Kim, "Variable Indexing Method in Rule Documents for Ship Design Using Extraction of PDF Elements", Journal of Computational Design and Engineering, Vol. 9, No. 6, 2022.11.16

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  17. Do-Hyun Chun, Myung-Il Roh, Hye-Won Lee, "Automation of Crane Control for Block Lifting Based on Deep Reinforcement Learning", Journal of Computational Design and Engineering, Vol. 9, No. 4, pp. 1430- 1448, 2022.07.23

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  18. Min-Chul Kong, Myung-Il Roh, Ki-Su Kim, Jeongyoul Lee, Jongoh Kim, Gapheon Lee, "Object Detection Method for Ship Safety Plans Using Deep Learning", Ocean Engineering, 2022.02.15

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  19. Ki-Su Kim, Myung-Il Roh, Seung-Min Lee, "Quasi-static Flooding Analysis Method of a Damaged Ship Considering Oil Spill and Cargo Load", Journal of Ship Production and Design, 2022.02.10

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  20. Won-Jae Lee, Myung-Il Roh, Hye-Won Lee, Jisang Ha, Yeong-Min Cho, Nam-Sun Son, “Detection and Tracking for the Awareness of Surroundings of a Ship Based on Deep Learning”, Journal of Computational Design and Engineering, Vol. 8, No. 5

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