Six Sigma PowerPoints You Can Edit and ReBrand!
Six Sigma Training Materials
Full Lean Six Sigma DMAIC Curriculum
Also Includes our "Lean Enterprise" and "DFSS" PowerPoint curriculum
Includes Versions for Minitab, SigmaXL, and JMP
Written for use with the most common statistical software - All versions included
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Our collection of white label PowerPoints span the full spectrum of Lean Six Sigma, covering the full D.M.A.I.C. methodology, and includes our Lean Enterprise and Design for Six Sigma PowerPoints. Each PowerPoint file is a goldmine of information, featuring not just slides but also detailed speaker notes, step-by-step exercise examples with instruction on how to use any one of three statistical software programs Minitab, JMP, or SigmaXL.
1,288 PowerPoint Slides
Covering the Full D.M.A.I.C. Curriculum
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DEFINE PHASE
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Overview of Six Sigma
What is Six Sigma
Six Sigma History
Six Sigma Approach Y = f(x)
Six Sigma Methodology
Roles & Responsibilities -
Six Sigma Fundamentals
Defining a Process
VOC & CTQ's
QFD
Cost of Poor Quality
Pareto Analysis (80:20 rule) -
Lean Six Sigma Projects
Six Sigma Metrics
Rolled Throughput Yield
Business Case & Charter
Project Team Selection
Project Risk Management
Project Planning -
Lean Fundamentals
Lean and Six Sigma
History of Lean
Seven Deadly Muda
Five-S (5S)
Define Phase Test
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MEASURE PHASE
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Process Definition
Cause & Effect Diagram
Cause & Effect Matrix
Process Mapping
FMEA
Theory of Constraints -
Six Sigma Statistics
Basic Statistics
Descriptive Statistics
Distributions & Normality
Graphical Analysis -
MSA
Precision & Accuracy
Bias, Linearity & Stability
Gage R&R
Variable & Attribute MSA -
Process Capability
Capability Analysis
Concept of Stability
Attribute vs Discrete
Monitoring Techniques
Measure Phase Test
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ANALYZE PHASE
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Patterns of Variation
Multi-Vari Analysis
Classes of Distributions -
Inferential Statistics
Understanding Inference
Sampling Techniques
Sample Size
Central Limit Theorem -
Hypothesis Testing
Hypothesis Testing
Statistical Significance
Risk; Alpha & Beta
Types of Hypothesis Tests -
Hyp. Tests Normal
1-sample t-test
2-Sample t-test
Paired t-test
1-sample variance
One Way ANOVA -
Hyp. Tests Non-Normal
Mann-Whitney
Moods Median
Kruskal-Wallis / Friedman
1 Sample Sign & Wilcoxon
1 & 2 Sample Proportions
Chi-Squared
Test of Equal Variances
Analyze Phase Test
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IMPROVE PHASE
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Simple Linear Reg.
Correlation
X-Y Diagram
Regression Equations
Residuals Analysis -
Multiple Regression
Non-Linear Reg.
Multiple Linear Reg.
Confidence Intervals
Residuals Analysis
Box-Cox Transformation
Stepwise Regression
Logistic Regression -
Design of Experiment
Experiment Objectives
Experimental Methods
DOE Design Considerations -
Full Factorial DOE
2k Full Factorial Designs
Linear & Quadratic Models
Orthogonal Designs
Fit, Model & Center Points -
Fractional Factorial DOE
Fractional Designs
Confounding Effects
Experimental Resolution
Improve Phase Test
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CONTROL PHASE
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SPC
Data Collection for SPC
Individuals Charts
Xbar Charts
Proportions Charts
CumSum, EWMA Charts
Control Chart Anatomy
Subgroups & Sampling
Control Limits -
Lean Controls
Control Methods for 5S
Kanban
Poka-Yoke -
Six Sigma Control Plans
Cost Benefit Analysis
Control Plan Elements
Response Plan Elements
Control Phase Test -
Certification Exam