Topics
- Figures will also illustrate the chances of accepting nonconforming parts and rejecting good ones, as functions of the part`s actual measurements and the gage variation
- Graphical images will be used to illustrate the concepts of accuracy (as assured by calibration) and precision (as quantified by MSA)
- Common sources of gage variation from a perspective similar to that of the cause and effect diagram
- Equations will be provided for the effect of gage capability on statistical process control (SPC) and process capability estimation
- Average and range, and analysis of variance (ANOVA) methods for calculation of the repeatability and reproducibility components
- Gage study requirements: number of parts, number of inspectors, and randomization aspects
- A table of the d*2 factors (necessary for performance of the calculations in Excel) will be provided
- Remedies for non-capable gages
Who should Attend
Quality managers, engineers, and inspectors with responsibility for process measurements and also advanced quality planning (aqp), R&D engineers, six sigma professionals, auditors, regulatory affairs, noting that msa supports the control plan.
