IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-256-9_61.html

Optimization of Pressure Vessel Manufacturing Shop Layout Based on Genetic Algorithm

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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Naiwen Li & Zihan Wang, 2024. "Optimization of Pressure Vessel Manufacturing Shop Layout Based on Genetic Algorithm," Advances in Economics, Business and Management Research, in: Suhaiza Hanim Binti Dato Mohamad Zailani & Kosga Yagapparaj & Norhayati Zakuan (ed.), Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), pages 592-602, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-256-9_61
    DOI: 10.2991/978-94-6463-256-9_61
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:advbcp:978-94-6463-256-9_61. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.