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Driving a production process with Automated Process Control
The project consists in setting the machine tools automatically thanks to an algorithm of machine learning based on the principle of APC (Automated Process Control) in order to improve the quality of parts in an industry where tolerances are becoming tighter. This project results therefore from a real need to improve quality of parts in the automotive industry.
In order to achieve industrial excellence, companies now strive to organize “smart factories”. This is the industry 4.0 where main principles are interconnection (between machines, devices, and humans), information transparency (in order to collect great amounts of data), technical assistance (and training of operators on new technology) and decentralized decisions (in order to perform as autonomously as possible). In the Arve Valley, smart factories are very important to build to compete against Swiss companies and attract new talents. Thanks to the introduction of Automated Process Control within the workshop, Joseph Martin will be able to automatically setup the machine tools, create interconnections in their plant and be more effective in their production.
In traditional industries, an operator must control the process. With APC, the software converts the measurement of the previous part in corrections automatically and can calculate the right correction even if corrections are interdependent. Ellisetting (our APC software) avoids any miscalculation problem and homogenizes the way to correct between operators. It can help to increase the speed of serial change and reduce the costs of non-quality.
(IoT4industry funding): 89 674 €
Project end date
(estimated): December 2020
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Vertical sector addressed
Industrial application addressed
- Monitoring & control
- Big Data & AI