
SIX SIGMA DMAIC Through our approach to teaching Six Sigma,
we have helped numerous individuals and groups to master the skills necessary to efficiently monitor, improve, characterize,
and optimize their processes. We incorporate handson demonstrations with training aids such as the Statapult to enhance understanding
and to make learning fun. Our goal is to do more than teach SPC and DOE...it is to insure that our course participants enjoy
themselves and are able to put the concepts into action!
The following materials are provided to each workshop attendee: Textbook
Participant Guide Software
Week 1: Building a Six Sigma Culture Infrastructure Roles and
responsibilities Six Sigma Project master strategy Six Sigma Implementation strategy What is Six Sigma
Terminology IPO (Input Process Output) diagrams Graphical meaning of average and standard deviation Introduction
to measures of quality (Cp, Cpk, sigma level, first pass yield, defects) Cost of Poor Quality Knowledge Based
Management Strategy (role of questions, critical thinking) Prioritize, Characterize, Optimize, Realize (PCOR) Strategy
Variance reduction using PF/CE/CNX/SOP Statapult and Card Drop Exercise The What and Why of Total Quality
Total Quality Principles Philosophy of KBM Relationship to Six Sigma Six Sigma Change Model
Change Management The Role of Statistics in Process Improvement Applications of Statistics Philosophy of Quality
and Taguchi’s Loss Function Terminology Metrics (developing and validating) Failure Mode and Effect Analysis
(FMEA)/Mistake proofing IPO Matrix Practice with SPC XL Making Sense out of Data using Graphical and Measurement
Tools Graphical analysis Pareto diagrams Histograms Run charts Scatter diagrams
Numerical measures Cp, Cpk Dpu, dpmo Sigma level, sigma capability Correlation Practice
with SPC XL Measurement System Analysis Importance of understanding the measurement process Xbar/R and ANOVA
methods for continuous data Binary or inspection data Metrics PrecisiontoTolerance ratio (P/TOL)
PrecisiontoTotal ratio (P/TOT) Resolution Graphical analysis Statapult Exercise Practice with SPC
XL Building a Knowledge Notebook
Six Sigma Project Work Week 2: Probability Distributions
Normal, binomial, and Poisson distributions Real world applications and use for problem solving Practice with
SPC XL Sampling Distribution and Confidence Intervals Why do we sample? Application of the Central Limit Theorem
Meaning of Confidence Confidence intervals and Sample Size Calculations Continuous data (average)
Binary data (proportion) Practice with SPC XL Hypothesis Testing with Rules of Thumb Understanding the null
and alternative hypotheses Type I and type II errors Detecting significant shifts in the average (t test)
Detecting significant shifts in the standard deviation(F test) Detecting significant shifts in a proportion (Ztest)
Chi square Test for Independence (categorical data) Practical rules of thumb for significance Statapult
Exercise Practice with SPC XL Process Control and Process Capability Philosophy, construction and interpretation
of control charts Control chart selection Xbar/R, Xbar/s, IMR, p and c charts Exercises Practice
with SPC XL Regression Analysis Philosophy and Terminology Interpretation of output Exercises
Practice with SPC XL Six Sigma Project Reports (status updates) given by participants Week 3: Foundations
and Overview of DOE Terminology Strategies (screening, modeling) Yhat and shat models Exercise
Practice with DOE KISS Introduction to Design and Analysis 12 step template for DOE Graphical analysis of
data using response surfaces, contour plots, interaction plots and marginal means plots Statistical analysis of data
Examples and exercises Practice with DOE KISS Rules of Thumb Selecting designs Determining sample
size Testing for significance Interpreting computer output Regression Modeling in DOE
Summary of
twolevel Designs
Summary of threelevel Designs
Analysis and Case Study Examples Variance Reduction and Robust
Design Taguchi’s inner/outer array Variance reduction using shat models Six Sigma Project Reports (status
updates) given by participants Week 4: Special Topics in DOE tailored to participant project needs
Workshop
activities using Multisim process simulation software
Introduction to Multiple Response Optimization
Introduction
to DOE Pro software
Course Wrapup
Six Sigma Project Reports (status updates) given by participants




