In high-volume manufacturing like Xbox, ensuring product quality and process stability is critical. That's why creating a method using JMP was so vital for reducing daily manual efforts and enabling real-time insights to perfomance. Using JMP statistical evaluation, we were able to streamline data querying.
The solution extracts key manufacturng directly from a SQL database with a user-friendly GUI that filters the necessities. It also eliminates the need for manual data pulls, which would involve writing queries in SQL to import the results into JMP. A JSL script runs on this set of data, undergoing process capability analysis within JMP and calculating distrbutions per key variables.
The final visualizations show the user fresh data on how different variables are performing in manufacturing. This visualizations include data split on part number, manufacturing line, station, slot per station, error codes, and meausurement distributions to detect distrbution abnormalities.
Once users have a comprehensive view, they are able to quickly identify the reason for measurement data abnormalities, whether it be related to drift in line, parts, operators, or elsewhere in manufacturing process.
