Qualifizierung digitaler Messprozesse

  • Qualification of digital measurement processes

Lehmann, Nico; Schmitt, Robert H. (Thesis advisor); Prefi, Thomas (Thesis advisor)

Aachen : Apprimus Verlag (2021)
Book, Dissertation / PhD Thesis

In: Ergebnisse aus der Produktionstechnik 20/2021
Page(s)/Article-Nr.: 1 Online-Ressource : Illustrationen, Diagramme

Dissertation, RWTH Aachen University, 2021


Individual customer requirements, shrinking lot sizes and strongly fluctuating demands characterize the production of tomorrow. Therefore, the availability and utilization of production-relevant data enable industries to remove limitations on the production chain and increase their flexibility. Organizations introduce digital measurement processes in order to increase the transparency of their production, enabling themselves to make production relevant decisions based on the available data. Since the introduction of new measurement processes is affiliated with a qualification thereof, the industry faces challenges due to the complexity of the digital measurement processes. The capability verification of the measurement process regarding the defined measurement task is one of the qualification steps. In order to investigate the capability, the measurement uncertainty has to be determined in most cases. For this purpose, a measurement model needs to be set up and uncertainties should be quantified thereafter. At the current state for diverse reasons, the determination of the measurement uncertainty is not applicable for the majority of digital measurement processes. The author investigates current challenges for the qualification of digital measurement processes for an industry-oriented environment and develops a structured procedure to tackle identified challenges. The agile design of the procedure complies the current challenge of resource efficient application by introducing phases and quality gates into the procedure. The model of the measurement will be derived from uncorrelated uncertainty components, which are identified based on a measurement process chain analysis. Furthermore, the procedure outlines uncertainty components and describes an experimental approach, which is divided into four phases to quantify the components. The relation of the measurement uncertainty and the capability of the measurement process will be evaluated in each phase. For assuring a continuous capability of the measurement process, the last phase states appropriate measures to monitor the measurement uncertainty. In the end the procedure is validated by applying it to industry originated use cases. The successful qualification of three digital measurement processes in industrial environment highlights the effectiveness of the developed procedure.