Research on Assembly Sequence Planning of Large Cruise Ship Cabins Based on Improved Genetic Algorithm

In the construction process of large cruise ships, there are numerous cabin components, and the number of assembly sequences will experience a “combinatorial explosion”, which will become a complex NP hard problem. This article proposes an assembly sequence planning method based on practical enginee...

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Main Authors: Liyang Ju, Xiaoyuan Wu, Yixi Zhao, Jianfeng Liu, Kun Liu
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Biomimetics
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Online Access:https://www.mdpi.com/2313-7673/10/4/237
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author Liyang Ju
Xiaoyuan Wu
Yixi Zhao
Jianfeng Liu
Kun Liu
author_facet Liyang Ju
Xiaoyuan Wu
Yixi Zhao
Jianfeng Liu
Kun Liu
author_sort Liyang Ju
collection DOAJ
description In the construction process of large cruise ships, there are numerous cabin components, and the number of assembly sequences will experience a “combinatorial explosion”, which will become a complex NP hard problem. This article proposes an assembly sequence planning method based on practical engineering problems in the construction process of large cruise ships. The cabin components are modularized, and an optimization algorithm is designed for multi-objective problem solving to obtain the optimal assembly sequence of cabin components. This article analyzes the impact of six constraint conditions on the assembly plan, including geometric constraints, sequence constraints, number of assembly reversals, number of tool replacements, stable connection relationships, and selection of reference components. A fitness function is designed and a mathematical model is established. On this basis, a genetic greedy combination algorithm is proposed to solve the optimal assembly sequence. Compared with traditional genetic algorithms, this improves computational efficiency and solves complex problems in a better manner. Multiple unique optimal solutions can be obtained in one solution process. The feasibility and effectiveness of this method were verified through examples.
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publishDate 2025-04-01
publisher MDPI AG
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series Biomimetics
spelling doaj-art-4d96f885496b41ee8da38d3f75b844492025-08-20T02:17:25ZengMDPI AGBiomimetics2313-76732025-04-0110423710.3390/biomimetics10040237Research on Assembly Sequence Planning of Large Cruise Ship Cabins Based on Improved Genetic AlgorithmLiyang Ju0Xiaoyuan Wu1Yixi Zhao2Jianfeng Liu3Kun Liu4School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 201109, ChinaShanghai Waigaoqiao Shipbuilding Co., Ltd., Shanghai 200137, ChinaSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 201109, ChinaShanghai Waigaoqiao Shipbuilding Co., Ltd., Shanghai 200137, ChinaSchool of Naval Architecture and Ocean Engineering, Jiangsu University of Science and Technology, Zhenjiang 212100, ChinaIn the construction process of large cruise ships, there are numerous cabin components, and the number of assembly sequences will experience a “combinatorial explosion”, which will become a complex NP hard problem. This article proposes an assembly sequence planning method based on practical engineering problems in the construction process of large cruise ships. The cabin components are modularized, and an optimization algorithm is designed for multi-objective problem solving to obtain the optimal assembly sequence of cabin components. This article analyzes the impact of six constraint conditions on the assembly plan, including geometric constraints, sequence constraints, number of assembly reversals, number of tool replacements, stable connection relationships, and selection of reference components. A fitness function is designed and a mathematical model is established. On this basis, a genetic greedy combination algorithm is proposed to solve the optimal assembly sequence. Compared with traditional genetic algorithms, this improves computational efficiency and solves complex problems in a better manner. Multiple unique optimal solutions can be obtained in one solution process. The feasibility and effectiveness of this method were verified through examples.https://www.mdpi.com/2313-7673/10/4/237large cruise ship cabinsassembly sequence planninggenetic greedy combination algorithmmulti-objective optimization
spellingShingle Liyang Ju
Xiaoyuan Wu
Yixi Zhao
Jianfeng Liu
Kun Liu
Research on Assembly Sequence Planning of Large Cruise Ship Cabins Based on Improved Genetic Algorithm
Biomimetics
large cruise ship cabins
assembly sequence planning
genetic greedy combination algorithm
multi-objective optimization
title Research on Assembly Sequence Planning of Large Cruise Ship Cabins Based on Improved Genetic Algorithm
title_full Research on Assembly Sequence Planning of Large Cruise Ship Cabins Based on Improved Genetic Algorithm
title_fullStr Research on Assembly Sequence Planning of Large Cruise Ship Cabins Based on Improved Genetic Algorithm
title_full_unstemmed Research on Assembly Sequence Planning of Large Cruise Ship Cabins Based on Improved Genetic Algorithm
title_short Research on Assembly Sequence Planning of Large Cruise Ship Cabins Based on Improved Genetic Algorithm
title_sort research on assembly sequence planning of large cruise ship cabins based on improved genetic algorithm
topic large cruise ship cabins
assembly sequence planning
genetic greedy combination algorithm
multi-objective optimization
url https://www.mdpi.com/2313-7673/10/4/237
work_keys_str_mv AT liyangju researchonassemblysequenceplanningoflargecruiseshipcabinsbasedonimprovedgeneticalgorithm
AT xiaoyuanwu researchonassemblysequenceplanningoflargecruiseshipcabinsbasedonimprovedgeneticalgorithm
AT yixizhao researchonassemblysequenceplanningoflargecruiseshipcabinsbasedonimprovedgeneticalgorithm
AT jianfengliu researchonassemblysequenceplanningoflargecruiseshipcabinsbasedonimprovedgeneticalgorithm
AT kunliu researchonassemblysequenceplanningoflargecruiseshipcabinsbasedonimprovedgeneticalgorithm