Portfolio
2024: Testing of the Applicability of an AI-based Optimization Model for Production Processes using a Digital Twin of the Factory
Project duration
06.12.24 - 30.04.25
Project manager
Alar Niidas
The project “Testing of the Applicability of an AI-based Optimization Model for Production Processes using a Digital Twin of the Factory” focuses on adjusting digital models of the factory and using AI to identify and mitigate bottlenecks in production processes. By using Siemens Plant Simualtion software, the project simulates the factory’s actual process times to test a digital twin, enabling production optimization without disrupting real manufacturing. The project utilizes an AI optimization model based on machine learning and data analysis to improve production throughput and resource efficiency.
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