Ole Lühn, Quality Assurance Manager, BASF
This presentation demonstrates how to access different production plant data to look into all corners of a production plant for quality assurance. JMP was used to access production, process, and quality data with one click. The presentation shows how data accessed via REST-API from an existing application was optimized by data import, data cleanup of input tables using JSL, and visualization of automated dashboards. Specification and control limit management for automated reporting was critical. Also, where data import possibilities were limited, a combination of Python and JMP was used to import process factors and responses for each production step of interest in mass production plants. A full range of quality assurance tools will be demonstrated, which could be used to begin helpful discussions with production teams for continuous improvement plans and PDCA Cycles.
