The core aspect of quality assurance, namely ensuring the required product quality, will continue to play a central role in companies in the future. However, the quality assurance parameters and approach will increasingly change. For example, questions such as: Does an intelligent supply chain replace existing goods receipt controls? Which quality data can be analyzed in real time in the future? What qualification and training measures are necessary for the staff in the future? The collection of machine data for the entire production process opens up numerous new opportunities for quality assurance. Suitable methods and analysis methods enable the direct processing of relevant data in the future and thus the early identification of quality deviations.
Selected advantages of digitized quality assurance measures:
- Automated monitoring of production processes
- Real-time capture and analysis of quality data
- Identification of performance deviations or wear
- Networking with information from different areas, e.g. logistics
- End-of-line testing of manufactured products
- Intelligent quality inspection up to zero defect production
The techniques of the Industry 4.0 enable a further increase in product quality and at the same time an acceleration of production times. Intelligent sensors and suitable processing mechanisms ensure the required data transparency and make big data stakeholder oriented smart data. On the one hand, a rapid reaction is possible in the case of quality deviations, but also more and more forward-looking measures (e.g. predictive maintenance) ensure that deviations in production can be reduced to a minimum.