This course is designed for those individuals working directly on transactional Six-Sigma projects and serving as Black Belts or Green Belts. It is assumed they come from a variety of backgrounds and disciplines and will be working on non-manufacturing business processes across the company. Tools and examples are in direct support of transactional and business operation related projects.
On-Site Course
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Public Course
Currently Unavailable
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Course Objectives:
Upon completion of the course the participants will be able to:
1. Benchmark best practices to research alternative methods and 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 problems associated with the project
5. Validate root causes
6. Link process map and simulation data to JMP for analysis
Course Outline:
Section I
Benchmark the Process or Product
Determine the area to benchmark
Identify benchmarking candidates
Prepare for the visit
Draw conclusions
Section II
Establish Causal Relationships Using Data
Nominal X and Continuous Y
t test - one sample
t test - two sample
t test - paired
One-way ANOVA
Nonparametric tests (optional)
Test for differences in process variation
N way ANOVA
Continuous X and Continuous Y
Simple linear regression
Correlation
Multiple regression
ANCOVA
Nominal X and Nominal Y
Test for proportions
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
Section III
Analyze the Process Map
Theory of constraints
Lean thinking
Non-value-added activities
Cycle time reduction
Analyze the process flow and associated data
Determine the relationship of the project problem and the process flow
Summarize how the current process map is related to the root cause of the problem
Section IV
Visualize the Problem
Review all visual data
Summarize how the visual data is related to the root cause of the problem
Section V
Determine Root Cause
Develop a cause and 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
Section VI
Link Process Simulation Data to JMP for Analysis (optional)
