Description
1. Objective:
Using DOE to identify process control variables that affect the variability of the target or desired characteristic in product production.
2. Methodology:
Personalized consulting and diagnostics in statistical process control tools through Design of Experiments (DOE)
Work sessions with the production area team
SPC assigns a senior consultant as the project leader with periodic visits and a work schedule
3. Deliverables:
Development of a design of experiments within the manufacturing processes, identifying target variables and the relationship between interactions and selected factors to control the desired characteristic.
4. Benefits:
✅ Consulting on a design of experiments within manufacturing processes
✅ Main effects plot
✅ Interaction plot
✅ Surface/contour analysis
✅ Optimization of results
✅ Sample size and test power
✅ Exercises, interpretation, and conclusions
✅ Fractional factorial designs
✅ Half fraction
✅ Quarter fraction
✅ Alias structure and confounding
✅ Resolution of fractional designs
✅ Exercises, interpretation, and conclusions
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