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QU4LITY - Digital Reality in Zero Defect Manufacturing (ZDM)

(Project duration: January 2019 to March 2022)




Problem Definiton

Due to increasing global competition customer requirements and the demand for individual and personalized products and services are rising. At the same time, the globalization of markets is leading to a lower acceptance of high product prices, so that companies are forced to sustain efficient and dynamic operating production and development. In this context, the EU project "QU4LITY" focuses on the realization of application-oriented and data-driven Zero Defect Manufacturing (ZDM). The focus is on the development of strategies to achieve competitive advantages for the European industry. Main research topics are the further development of predictive quality management, the development of methods to avoid error propagation and the reduction of energy consumption, as well as definition of principles to reduce waste.



The research focus is the development of interoperable digital infrastructures for the ZDM by researching industrial applications of data analysis. An essential aspect is the reduction of error costs of automatic process control by reliably anticipating the resulting product quality during the production process. Based on the anticipated product quality, measures are to be derived for the subsequent production process so that the test efficiency is increased in the entire value stream. The latter objective requires the development and integration of virtual sensors into the production processes in order to guarantee a detailed digital documentation.

For the realistic representation of this goal, the integration of Big Data Analytics and AI (Artificial Intelligence) methods is being researched at Siemens AG's Amberg electronics plant (EWA). A special focus is placed on the high variety of products variants and the small number of analysable defect components, which are common properties of the production of electronic components.


Procedure and Division of Labour

In order to achieve the described objective, four work steps are planned in the processing. These will be successively researched and implemented in cooperation with the EWA of Siemens AG. The following figure illustrates the production line taken into account in this research project together with the measurement techniques contained therein.




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Secretariat IPS
Tel.: 0231 755-2652

promotional note

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 825030.


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