Making data analysis software for manufacturing
Big Data can be used to pave the way for new methods of process control and quality assurance in the manufacturing sector. The right tools are needed for this job, however. The EU-funded DBP project will simplify complex production processes by developing a scalable software solution. Specifically, this is an automated data analysis software that enables users to identify hidden correlations in their production process. The consolidated data can be visualised, compared and evaluated. Relationships between input variables and quality features are recognised. With the use of AI algorithms, predictive models can be created. Facilitating proactive intervention can help prevent rejects and machine downtime.
Fields of science
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