Machine Learning for Improving Quality in Advanced Manufacturing

EDT's inaugural project was based on creating a family of machine learning models that can predict the risk factors surrounding product quality in precision manufacturing.

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Based on a real world dataset, we were able to apply deep learning techniques to predict point estimates of the quantities of interest 4 minutes ahead of time.

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This Innovate UK project allowed us to prove the concept of an invaluable technology for the precision manufacturing sector - using commonly collected data and turning it into information that can be used on the shop floor to both improve quality and relieve bottom line pressures.

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The material impact of this technology being deployed can be illustrated by the following scenario:

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Imagine an SME manufacturer with a £10m turnover facing a 3% scrap rate – that's £300,000 lost annually. Our technology aims to curtail this, saving up to £225,000 each year by targeting up to 75% of quality failures. This isn't just technology; it's a financial lifeline for manufacturers

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