Video using JMP 18 was posted in July 2025.
Do you have a complex manufacturing process with many steps and tools that could contribute to poor yield or reduced quality? Do you have historical data about your yields that is tedious or time consuming to analyze and understand? Are you tasked with applying your understanding of your tools and processes to improve future yields? Are you facing production delays with causes that are hard to pinpoint?
In this session, we will demonstrate how to use your process history to quickly locate the exact combination of factors leading to poor yield, production problems, or time-consuming product changeovers. See two examples of how to:
- Explore and analyze production tracking data to identity factors that seem to be associated with poor yield.
- Analyze the time that units spend waiting between steps or tools in the process and see how that waiting time is related to yield.
- Analyze the effect on yield and pinpoint troublesome changeovers.
- Identify the sources of differing or unexpected results among your production lines.
- Interactively visualize your data to get a high-level understanding of process activity.
Suggested Prerequisites:
- An understanding of the tools and steps in your complex processes.
- Basic familiarity with Stepwise Regression.
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