Measurement System Analysis (formerly also known as measuring equipment suitability) evaluates the measurement process of a parameter with regard to its specification limits. It must be sufficiently resolved, lead to correct results, be repeatable or reproducible well enough. Its long-term stability must also be guaranteed. This production view can also be transferred to applications in research and development.
Without suitable measuring and testing processes, it is not possible to ensure the quality required by the customer. Sufficiently reliable measurability also plays an important role in the run-up to production, since measurements are the extended sensory organs of researchers and developers.
Suitable testing processes and an understanding of the necessary work steps improve quality, reduce quality costs, and facilitate the development of new processes and products.
The course teaches you techniques to evaluate and improve your measurement processes. Improved measurement techniques have repeatedly led to scientific and technical progress over the centuries (Keppler laws based on measurements by Tycho Brahe, land surveying based on accurate angular measurements according to Gauss, gravitational wave detection based on incredibly accurate interference measurements in the LIGO experiment).