A Multi-Objective Co-optimization Approach to Production Line Productivity Under Multi-Conditional Constraints

Shuao Zhang; Dongya Xing; Chengxinyuan Zheng; Siyv Liu; Zhuqiao Ma

doi:10.2991/978-94-6463-845-5_99

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A Multi-Objective Co-optimization Approach to Production Line Productivity Under Multi-Conditional Constraints

Authors

Shuao Zhang¹, Dongya Xing¹, Chengxinyuan Zheng¹, Siyv Liu¹, Zhuqiao Ma¹^{, *}

¹Zijin College, Nanjing University of Science and Technology Intelligent Manufacturing School, Nanjing, China

^*Corresponding author. Email: mazhuqiao839@njust.edu.cn

Corresponding Author

Zhuqiao Ma

Available Online 16 September 2025.

DOI: 10.2991/978-94-6463-845-5_99 How to use a DOI?
Keywords: production line optimization; multi-objective collaboration; NSGA-II algorithm; dynamic adjustment; constraint optimization
Abstract: In the rapid advancement of smart manufacturing, production lines face challenges such as inflexible resource allocation, dynamic order fluctuations, and conflicting objectives. Traditional single-objective optimization methods struggle to address these complexities. This paper proposes a dynamic multi-objective co-optimization framework integrating Constraint Satisfaction Theory and an improved NSGA-II algorithm. Key innovations include: 1. A multi-level constraint classification model (process/resource/dynamic constraints). 2. A preference-inspired weight allocation mechanism for adaptive goal prioritization. 3. A digital twin-driven feedback loop for real-time perturbation handling. Experimental results from automotive welding and electronic assembly lines demonstrate 15% cost reduction, 20% efficiency improvement, and 35.7% fewer product switches, validating the method’s superiority over conventional approaches.
Copyright: © 2025 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.

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Volume Title: Proceedings of the 2025 6th International Conference on Management Science and Engineering Management (ICMSEM 2025)
Series: Atlantis Highlights in Economics, Business and Management
Publication Date: 16 September 2025
ISBN: 978-94-6463-845-5
ISSN: 2667-1271
DOI: 10.2991/978-94-6463-845-5_99 How to use a DOI?
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

ris enw bib

TY  - CONF
AU  - Shuao Zhang
AU  - Dongya Xing
AU  - Chengxinyuan Zheng
AU  - Siyv Liu
AU  - Zhuqiao Ma
PY  - 2025
DA  - 2025/09/16
TI  - A Multi-Objective Co-optimization Approach to Production Line Productivity Under Multi-Conditional Constraints
BT  - Proceedings of the 2025 6th International Conference on Management Science and Engineering Management (ICMSEM 2025)
PB  - Atlantis Press
SP  - 1019
EP  - 1025
SN  - 2667-1271
UR  - https://doi.org/10.2991/978-94-6463-845-5_99
DO  - 10.2991/978-94-6463-845-5_99
ID  - Zhang2025
ER  -

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