The limitations of QMS software for manufacturing
12月 6, 2023
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QMS software in manufacturing is widely used for tracking compliance, but there are better tools available to improve quality.
Acerta ブログ
人工知能（AI）＆自動車部品アナリティクス
Six reasons why you need automated root cause analysis
11月 2, 2023
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Lengthy root cause analysis in manufacturing results in excessive downtime. AI and machine learning can speed up this process.
SPC vs. Anomaly Detection: Methods to Manage Quality
10月 3, 2023
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Industry 4.0 predictive quality software uses anomaly detection to analyze manufacturing data to prevent defects. But how does it differ from SPC?
Data is the key to manufacturing success in an EV Future
9月 6, 2023
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Acerta CEO Greta Cutulenco shares insights on the role of data in manufacturing electric vehicles and their components.
The Roadmap to Electric Vehicle Manufacturing
8月 2, 2023
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Delve into the transformative process of electric vehicle component manufacturing, from design to mass production. Explore challenges, innovations, and the road to stable production in this insightful blog.
Why automakers should focus less on OEE and more on part quality
7月 6, 2023
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Last updated on 7月 24th,
Thoughts on quality with new Acerta board member Michael Sinnaeve
6月 23, 2023
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Last updated on 6月 26th,
Collecting manufacturing data for predictive analytics with LinePulse and deviceWISE
6月 5, 2023
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LinePulse and deviceWISE have partnered to help automotive manufacturers get the most out of their predictive quality insights.