The Hybrid Production Optimization Model of Prefabricated Components from the Perspective of Multiple Orders
Authors
*Corresponding author.
Email: xurong111298@163.com
Corresponding Author
Rong Xu
Available Online 9 October 2023.
- DOI
- 10.2991/978-94-6463-256-9_78How to use a DOI?
- Keywords
- Production optimization of prefabricated components; multiple orders; parallel production with multiple lines; NSGA-II; multiple objectives
- Abstract
The production of prefabricated components in modular construction is an important part of the modular construction supply chain. Starting from the perspective of multi-order and considering the characteristics of prefabricated concrete components, a dual-objective optimization model is proposed for prefabricated component production scheduling under the constraints of prefabricated component molds and order delivery time windows in a parallel production mode of multiple production lines. The NSGA-II algorithm is used for optimization to improve the on-time delivery rate of orders and reduce the idle time of production lines.
- 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 - Daisong Hu AU - Ming Li AU - Rong Xu PY - 2023 DA - 2023/10/09 TI - The Hybrid Production Optimization Model of Prefabricated Components from the Perspective of Multiple Orders BT - Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023) PB - Atlantis Press SP - 768 EP - 779 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-256-9_78 DO - 10.2991/978-94-6463-256-9_78 ID - Hu2023 ER -