Rapid Modeling Architecture for Lightweight Simulator to Accelerate and Improve Decision Making for Industrial Systems
July 23, 2025 Β· Declared Dead Β· π 2025 IEEE 21st International Conference on Automation Science and Engineering (CASE)
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Authors
Takumi Kato, Zhi Li Hu
arXiv ID
2507.17990
Category
eess.SY: Systems & Control (EE)
Cross-listed
cs.MA,
cs.RO
Citations
0
Venue
2025 IEEE 21st International Conference on Automation Science and Engineering (CASE)
Last Checked
4 months ago
Abstract
Designing industrial systems, such as building, improving, and automating distribution centers and manufacturing plants, involves critical decision-making with limited information in the early phases. The lack of information leads to less accurate designs of the systems, which are often difficult to resolve later. It is effective to use simulators to model the designed system and find out the issues early. However, the modeling time required by conventional simulators is too long to allow for rapid model creation to meet decision-making demands. In this paper, we propose a Rapid Modeling Architecture (RMA) for a lightweight industrial simulator that mitigates the modeling burden while maintaining the essential details in order to accelerate and improve decision-making. We have prototyped a simulator based on the RMA and applied it to the actual factory layout design problem. We also compared the modeling time of our simulator to that of an existing simulator, and as a result, our simulator achieved a 78.3% reduction in modeling time compared to conventional simulators.
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