Computer modelling and simulation, data processing

Service description

This service uses computer modelling, simulation and data processing to evaluate manufacturing systems, equipment or proposed technical solutions before implementation in the physical environment. A virtual model can be used to test system behaviour, compare design alternatives, investigate operating scenarios and identify potential problems before costly physical modifications are made. The resulting model and processed data can also support independent verification, digital twin preparation and subsequent AI-based analysis or optimisation. The service helps reduce technical risks and supports better-informed decisions before physical deployment.

Expected results:

Simulation model representing the agreed manufacturing system, equipment or process scope

Results of the evaluated simulation scenarios and analysis of relevant system behaviour

Assessment of model assumptions, fidelity and limitations

Independent verification of the proposed technical solution where applicable

Model and processed data suitable as a basis for digital twin preparation or further AI-based analysis

Technical report summarising the model, evaluated scenarios, simulation results, identified limitations and recommendations for further development

Methodology:

Definition of customer needs, system boundaries, simulation objectives and evaluation criteria

Customer provision of relevant technical documentation, system parameters, operating conditions, available measurement or historical data and existing models where available

Analysis of the manufacturing system, equipment or process to be modelled

Definition of model assumptions, required level of detail and simulation scenarios

Preparation and processing of input data

Development or adaptation of the required computer or simulation model

Execution of agreed simulation scenarios using available simulation software and computing infrastructure

Comparison and analysis of simulated system behaviour under different operating conditions or design alternatives

Verification of simulation results against available real-world data where possible

Evaluation of model limitations and suitability for digital twin, optimisation or AI-based applications

Recommendations for further development, physical implementation or additional validation

Target:

Manufacturing companies, machine and equipment developers and system integrators that need to evaluate new systems, process modifications or operating scenarios virtually before physical implementation, or prepare models for digital twin, optimisation or AI applications.

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