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Digital-Physical Twin Alignment Methodology
University of Nottingham

3D digital twin layout planning and optimisation can help manufacturers to improve production efficiency and flexibility. Our multi-functional design space integrates closely robot path planning, control synthesis, design validation and metrology simulation, bringing together process-level and system-level objectives. Unlike the traditional design process, 3D digital twin allows us to simulate production scenarios and estimate KPIs, allowing early error detection and a shortened development cycle. These KPIs can guide machine learning models and optimisation algorithms to find the most suitable layout plan. Combining shopfloor data and advanced analytics, our approach supports data-driven decision making for resource allocation and process planning.

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If you are interested in seeing how you could engage with the Research Centre for Connected Factories please contact Daniel Symes at daniel.symes@nottingham.ac.uk

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