IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-256-9_146.html

Workshop Layout Optimation and Simulation Analysis Based on SLP: A Case Study

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

Author

Listed:
  • Tongtong Wang

    (Liaoning Technical University, School of Business Administration)

  • Yajuan Feng

    (Liaoning Technical University, School of Business Administration)

Abstract

In response to the phenomenon of long transportation distances and high transportation costs due to the current workshop layout, this paper proposes a layout optimization scheme based on the System Layout Planning (SLP) method, which is verified for feasibility through Flexsim simulation. In the optimization process, focusing on the two important factors that affect the workshop layout, namely transportation distance and transportation cost, a qualitative solution is proposed using a real case study as the research scenario. The results show that the optimized layout scheme can significantly reduce transportation distance and transportation costs, when compared to the original layout scheme. This case study provides reference and inspiration for workshop layout optimization, and also provides guidance for ship equipment manufacturing enterprises to achieve efficient production processes and cost control.

Suggested Citation

  • Tongtong Wang & Yajuan Feng, 2024. "Workshop Layout Optimation and Simulation Analysis Based on SLP: A Case Study," 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 1443-1453, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6463-256-9_146
    DOI: 10.2991/978-94-6463-256-9_146
    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_146. 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.