Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)

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Optimization of Pressure Vessel Manufacturing Shop Layout Based on Genetic Algorithm

Authors
Naiwen Li1, Zihan Wang1, *
1Faculty of Business Administration, Industrial Engineering and Management, Liaoning Technical University, No.188, Longwan South Street, Xingcheng City, Huludao City, 125000, Liaoning Province, China
*Corresponding author. Email: 731398499@qq.com
Corresponding Author
Zihan Wang
Available Online 9 October 2023.
DOI
10.2991/978-94-6463-256-9_61How to use a DOI?
Keywords
pressure vessel workshop; mathematical optimization; genetic algorithm; workshop layout
Abstract

For the layout of manufacturing workshop facilities, it is necessary to consider not only the material flow and production efficiency, but also the production safety. In this paper, we use the systematic layout design method to solve the problems in the existing workshop layout design by taking the layout of pressure vessel manufacturing workshop of Company J as an example. In this paper, a genetic algorithm is used to solve the functional area layout optimisation problem of the workshop. The functional area layout problem of the workshop is regarded as a mathematical optimisation problem, and the layout problem is solved by applying mathematical methods after obtaining the integrated relationship diagrams of different functional areas, instead of the traditional manual adjustment methods. This reduces to a certain extent the layout uncertainty of combining qualitative and quantitative analysis, and constructs a model with the maximum arithmetic product of the integrated relationship and adjacency as the objective function by combining the relevant constraints, and the idea of optimization is to increase the area of the bottleneck work station and less area of the redundant space. The evaluation results show that the optimized solution improves the safety, production flexibility and productivity of the shop.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)
Series
Advances in Economics, Business and Management Research
Publication Date
9 October 2023
ISBN
10.2991/978-94-6463-256-9_61
ISSN
2352-5428
DOI
10.2991/978-94-6463-256-9_61How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Naiwen Li
AU  - Zihan Wang
PY  - 2023
DA  - 2023/10/09
TI  - Optimization of Pressure Vessel Manufacturing Shop Layout Based on Genetic Algorithm
BT  - Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)
PB  - Atlantis Press
SP  - 592
EP  - 602
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-256-9_61
DO  - 10.2991/978-94-6463-256-9_61
ID  - Li2023
ER  -