3-Day Process & Manufacturing with JMP
This course helps engineering teams use JMP, Six Sigma problem-solving methods, and applied statistics to analyze variation, identify root causes, and improve product and process performance. Participants apply graphical analysis, process capability, hypothesis testing, ANOVA, regression, DOE, measurement system analysis, and sample size methods through hands-on JMP exercises and practical engineering case studies.
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- Process engineers
- Manufacturing engineers
- Quality engineers
- Validation and test engineers
- Technical professionals working with process performance and variation
Individual and Private Team Training
Training is available for individual professionals and private company teams through virtual or onsite sessions.
Ask about training options →What Participants Learn
Participants connect JMP data analysis with practical Six Sigma problem-solving methods for technical decisions.
- Analyze variation and process performance
- Identify root causes using statistical evidence
- Evaluate measurement systems and sample size needs
- Communicate practical, review-ready conclusions
Engineering Applications
- Process and manufacturing analysis
- Product and process performance improvement
- Quality and validation investigations
- Root-cause and failure analysis
JMP Methods Used
- Graphical analysis
- Process capability
- Hypothesis testing & ANOVA
- Regression & design of experiments
- Measurement system analysis
- Sample-size methods
Request Training Information
Ask about current course dates, individual registration, or a private program for your engineering or improvement team.