Audience and Purpose:
This course is designed for those individuals working directly on Six-Sigma projects serve
as Black Belts or Green Belts. It is assumed they come from a variety of backgrounds and
disciplines and will be working on a variety of projects across the company. Tools and
examples are in direct support of manufacturing and production operations.

Course Objectives:
Upon completion of the course the participants will be able to:

1. Benchmark best practices to research potential solutions
2. Analyze a variety of data types and summarize the X factors by effect size and their
   practical and statistical significance
3. Identify the factors with the highest potential impact and estimate their ability to be
   controlled
4. Determine root cause(s) for the problem in your project
5. Discuss methods for root cause validation
6. Link process map and simulation data to JMP for analysis

Detailed Course Outline:

Benchmark the Process or Product
Determine the Area to Benchmark
Identify Benchmarking Candidates
Prepare for the Visit
Draw Conclusions

Establish Causal Relationships Using Data

Nominal X and Continuous Y

• t test - one sample
• t test - two sample
• t test - paired
• One-way ANOVA and F test
• Test for differences in variances
• Nonparametric tests (optional)
• N way ANOVA
  

Continuous X and Continuous Y

• Simple Linear Regression
• Correlation
• Multiple Regression
• ANCOVA
  

Nominal X and Nominal Y

• Test probabilities
• Contingency analysis

Continuous X and Nominal Y

• Logistic regression

Summarize the factors that are related to the root cause of the problem

Summarize the mechanism of how the factors influence the response

Analyze the Process Map
Theory of constraints
Lean thinking
Continuous flow
Non-value-added activities
Cycle time reduction
Review the process flow and associated data
Highlight the relationship of the project problem and the process map
Summarize how the current process map is related to the root cause of the
problem

Visualize the Problem
Review all visual data
Summarize how the visual data is related to the root cause of the problem

Determine Root Cause
Develop a Cause & Effect Diagram
Determine the 5 Whys
List and prioritize all root cause summary findings
Identify the ease of control and percent contribution to the root cause
Validate the root cause

Link Process Simulation Data to JMP for Analysis
Moving data to JMP from iGrafx
Generating custom reports in iGrafx