Six-Sigma, Statistics, and Data Analysis Workshops

1. Overview of Design of Experiments (DOE)
2. Overview of Analysis of Variance (ANOVA)
3. Design Principles
4. One-way Designs and Their Analysis of Variance
5. Full Factorial Designs and Their Analysis of Variance
6. Fractional Designs and Their Analysis of Variance
7. Design Resolutions
8. Nested Designs
9. Summary and Conclusions

1. Minitab™ statistical software, used throughout
2. Course Manual

(Return To Top)

1. Introduction to Minitab™
2. Overview of Minitab™
   • Windows
   • Menus
   • File Types
3. Data Manipulation
4. Pareto Charts
5. Control Charts
   • R (range)-charts
   • X-bar (mean)-charts
   • P (probability defective)-charts
6. Summary and Conclusions

1. Minitab™ statistical software, used throughout
2. Course Manual

(Return To Top)

1. Hypothesis Testing - Review
2. The Comfortable Cocoon of Normality
3. Detecting Non-normality and Leaving the Cocoon
4. Nonparametric Tests
   • The one-sample sign test
   • The one-sample Wilcoxson test
   • The Mann-Whitney test
   • The Kruskal-Wallis test
   • Rank correlation (Spearman’s ρ and Kendall’s τ)
   • Cochran’s test for related observations
   • Mood’s median test
   • The Friedman test
   • The runs test
   • Squared ranks test for variances
5. Summary and Conclusions

1. Minitab™ statistical software, used throughout
2. W. J. Conover, Practical Nonparametric Statistics, 3rd edition, 1999.
3. Course Manual

(Return To Top)

1. Scales of Data Measurement
2. Regression and its Limitations
3. Multivariate Analysis Methods
   • Principal Components Analysis
   • Factor Analysis
   • Cluster Analysis
   • Discriminant Analysis
4. Summary and Conclusions

1. Minitab™ statistical software, used throughout
2. Subhash Sharma, Applied Multivariate Techniques, 1996.
3. Course Manual

(Return To Top)

1. Input Data Analysis Process
2. Input Data Dilemmas and Their Resolution
3. Common Mistakes and Their Avoidance
4. Typical Input Data Sources
5. Randomness and Sampling
6. Use of Empirical or Canonical Distributions
7. Output Data Analysis Process
8. Issues of Experimentation
   • Warm-Up Times
   • Run Lengths
   • Number of Replications
9. Variance Reduction Techniques
10. Methods of Output Analysis
    • Construction of Confidence Intervals
    • Sensitivity Analysis
    • Regression Analysis
    • Design of Experiments
    • Optimization
11. Summary and Conclusions

1. Minitab™ statistical software, used throughout
2. Course Manual

(Return To Top)

Our Executive Overview package does not require any prior knowledge or experience in the concepts. It is structured to show the CEO, CFO, COO, Vice Presidents, Directors, and Managers of Quality Operations how to examine your Corporation’s Business Values and how they relate to Shareholders and Customer Values. This overview will help your Executive team take an assessment of its readiness and commitment to support those staff members assigned to carry out Executive Directives to drastically increase Shareholder Value, Customer Service and Quality Satisfaction across the entire organization.

1. Six Sigma Overview
   • Background of Six Sigma
   • The GE experience
   • Examples of potential projects
   • The Six Sigma metric defined
2. Understanding the concepts and how they can be applied in your organization
   • Define, Measure, Analyze, Improve and Control (DMAIC)
3. Defining Values – the organizational values of Six Sigma and its philosophy
   • Creating a sense of improvement urgency
   • Defining a vision and communicating it
   • Empowering others to act on the vision
   • Managing change
4. Business Management
   • Goal setting and measurements
   • Project benefit analysis
   • The financial impact of customer loyalty
5. Business Benchmarking
   • Creating a business strategy with roles and responsibilities
   • What and how your competition is doing
   • Understanding the voice of the customer
6. Implementation Strategy
   • What you need to do to be competitive
   • Integration of Six Sigma with Lean concepts
7. Lessons Learned and next steps
   • The importance of top level commitment and support
   • Impacts on corporate culture with a new customer focus
   • How to select projects and identifying Six Sigma trainees

Your Investment in our half-day Six Sigma Training Program includes the latest training materials delivered by a Master Black Belt Six Sigma instructor. We offer these Six Sigma training services to our client customers in all Industry Business Sectors where there is desire and need to make measurable improvements to the bottom line. We don’t just train you and your staff; we offer Mentoring Services to guide your Six Sigma programs by an Experienced Master Black Belt. We can assist in identifying those Key High Level Projects that will help your business realize significant returns for your Six Sigma investment.

(Return To Top)

ST7 - Six Sigma Black Belt Course (5 day)

1. Enterprise-wide deployment
   • Enterprise view
   • Leadership
   • Organization goals and objectives
2. Business Process Management
   • Process vs. functional view
   • Voice of the customer
   • Business Results
3. Project Management
   • Project charter and plan
   • Team leadership
   • Team dynamics and performance
   • Change agent
   • Management and Planning Tools
4. Defining Project Scope, Metrics and Problem Statement
5. Six Sigma Measurement Methodology
   • Process analysis and documentation
   • Probability and statistics
   • Collecting and summarizing data
   • Properties and applications of probability distributions
   • Measurement systems
   • Analyzing process capability
6. Six Sigma Analysis Methodology
   • Exploratory data analysis
   • Hypothesis testing
7. Six Sigma Improvement Methodology
   • Design of experiments
8. Six Sigma Control Methodology
   • Control Charts

(Return To Top)

*Workshop fees noted are subject to change based on class size, location, etc.