Workshop Layout Optimation and Simulation Analysis Based on SLP: A Case Study
- DOI
- 10.2991/978-94-6463-256-9_146How to use a DOI?
- Keywords
- Facility Layout Problem; Layout Optimization; System Layout Planning; Flexsim Simulation; Case Study
- 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.
- 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
TY - CONF AU - Tongtong Wang AU - Yajuan Feng PY - 2023 DA - 2023/10/09 TI - Workshop Layout Optimation and Simulation Analysis Based on SLP: A Case Study BT - Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023) PB - Atlantis Press SP - 1443 EP - 1453 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-256-9_146 DO - 10.2991/978-94-6463-256-9_146 ID - Wang2023 ER -