Optimization of Pressure Vessel Manufacturing Shop Layout Based on Genetic Algorithm

Naiwen Li and Zihan Wang ()
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Naiwen Li: Liaoning Technical University, Faculty of Business Administration, Industrial Engineering and Management
Zihan Wang: Liaoning Technical University, Faculty of Business Administration, Industrial Engineering and Management

A chapter in Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), 2024, pp 592-602 from Springer

Abstract: 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.

Keywords: pressure vessel workshop; mathematical optimization; genetic algorithm; workshop layout (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-256-9_61

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