Module 1: Overview/Define
A. Stakeholder analysis
B. Organization and leadership for Six Sigma
Module 2: Measure
A. Bias And Linearity study. Ndc, Number of distinct categories
B. Cost Of Quality
C. Bayes Theorem applied to inspection
D. Sampling based on Mil-STD-414 for continuous data
Module 3: Analyze
A. Box –Cox transformation
B. Directional Two-tailed test Error type 3 (Kaiser)
C. Multiple regression analysis and residuals analysis. Durbin Watson, Cook Distance and leverage in residuals. Quadractic Models
D. Parametric Analysis: Proportion test, Scheffe ad hoc test
E. Kolmogorov Smirnov test,
F. Marascuilo Procedure for multiple proportions, McNemar test
G. Non parametric Methods: Shapiro-Wilks, Jarque-Bera, D'Agsotino, W/S tests for normality
H. Queue theory.
Module 4: Improve
A. DOE with blockings and center points. Curvature in DOE
B. Fractional Factorial Experiment and workshop
C. Introduction to process simulation. Supervised process simulation workshop
D. DFSS Design concepts for Six Sigma. DFM Design for manufacturability
E. Akaike Criteria
Module 5: Control
A. Levey-Jennings QC control charts
B. Change point Analysis and Boots
