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Pilot - SIEMENS SIMATIC Products Quality Improvements

Project: QU4LITY

Updated at: 01-02-2024

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Manufacturing performance characteristics
Economic sustainability
Comment:

Concerning the ecological and economic operation of a factory, data analytics tools in combination with simulation approaches can contribute to improved throughput, bottleneck-reduction, or both for the production line. Through the optimization of the processes, production execution on organization and logistic level can be optimized by reducing the amount of material within the system, the lead times, or both.

Product quality - Quality assurance
Parts Per Million (PPM)
To be
Comment:

improve false positive rate by 20%.  Measured as false positives rate, actual value is considered confidential.

OPTIMAL platform

Project: OPTIMAL

Updated at: 30-01-2024

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Manufacturing performance characteristics
Economic sustainability
Comment:

The OPTIMAL project will integrate for the first-time different laser lithography technologies, quality monitoring systems and processes in one platform for the development of structures with high depth, dimensions in the range from 100 nm to sub-mm, 2D&3D shape on flat surface, combining parallel & serial patterning, no need for external treatments on samples, increased speed and large area. 

Product quality - Quality assurance
OEE (Q) - Quality
First Pass Yield (FPY)

Rhône-Alpes Champion: The Smart Mold

Project: BEinCPPS

Updated at: 29-09-2022

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Manufacturing performance characteristics
Economic sustainability
Product quality - Quality assurance
Comment: The smart mold helps to improve the follow up of the production (QA). The plant operator will able to react more quickly to production deviations, therefore reducing strongly the scrap rates.

Lombardy Champion - Zero-Hours Quality

Project: BEinCPPS

Updated at: 29-09-2022

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Manufacturing performance characteristics
Economic sustainability
Product quality - Quality assurance
Comment: The main purpose of the system is to assess the average quality of the delivered product and to verify the correctness of the production process.
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