USE CASES

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NEED

Improve the laser process quality and productivity

HOW

Developing a closed-loop system including AI based on machine learning

RESULTS

Increase productivity by 35% in 3 years (expectations)

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NEED

Improve quality

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HOW

Identifying root causes of variation thanks to operators participation

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RESULTS

Better management of product quality

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NEED

Optimize energy consumption

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HOW

Identifying root causes of variations thanks to operators participation

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RESULTS

500 000 €/year savings

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RESULTS

Process efficiency optimization

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NEED

Improve production quality and process efficiency

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HOW

Finding the optimal presetting for the new plate leveler

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NEED

Reduce variability in energy and performance

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HOW

Schneider Electric APS USING DATAMAESTRO ANALYTICS

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RESULTS

Savings of 142 000 € / year

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NEED

Improve production energy and maintenance efficiency

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HOW

Advanced Analytics to understand variability root causes

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RESULTS

Savings > 56 000 € per year

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