Intelligent Manufacturing Process Optimization Based on Multi-Department Collaborative Coupling Model
This study aims to explore the effective method of optimizing the whole process of intelligent manufacturing, and to model and optimize the intelligent manufacturing process of complex equipment in detail based on Anylogic simulation platform. Firstly, a simulation model covering the whole process of “design-development-test” is designed in this paper, and the operational efficiency and synergistic effectiveness of each stage are comprehensively evaluated by dynamically simulating the information flow, task flow and resource flow of each production link. Secondly, combined with the TOPSIS hierarchical analysis method, a multi-scenario optimization design is carried out on the simulation results, and the information flow and resource allocation are optimized through the weighting analysis of the key indexes, which improves the operational efficiency of the whole manufacturing process. In addition, the study introduces the theory of complex network nodes, which simplifies the key links in the simulation process and improves the operability and practical application value of the model. Finally, based on the simulation results, a specific implementation scheme to improve the resilience of the manufacturing chain is proposed, which can effectively monitor the production process, quickly identify the sources of failure and optimize the production decision.
Authors
- Jingyao Xia
- Shuyu Xie (ORCID: https://orcid.org/0000-0003-0381-2509)
- Minghao Li (ORCID: https://orcid.org/0000-0001-9004-6122)
- Jing Wang (ORCID: https://orcid.org/0000-0002-7566-1212)
- Zhan Shi (ORCID: https://orcid.org/0000-0001-6488-0869)
- Tao Xia (ORCID: https://orcid.org/0009-0001-5343-2208)
Institutions
- National University of Defense Technology (CN)
Publication Details
- Published
- 2025-06-28
- DOI
- https://doi.org/10.1109/icipca65645.2025.11138605
- Primary Topic
- Manufacturing Process and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00