Nutzung von unterschiedlich strukturierten Daten zur Fehleranalyse in Produktionsbetrieben: Eine prototypische Beispielimplementierung

The integration of data with varying structures for error analysis in production poses a significant challenge for production enterprises. This article presents a prototype solution for successfully integrating differently structured data for error analysis. A sample case is used to design and implement a prototype that combines various methods for analysing data with different structures, addressing the specific requirements of a data-driven production error analysis. The results demonstrate an innovative approach to implement data-driven error analysis in production. This approach combines differently structured data and analysis methods in a beneficial way. Experts evaluated the proposed prototype solution and found it suitable for practical use, creating added value for enterprises. Based on these findings, implications were identified, limitations were described, and future research needs were derived.