Learn process improvement strategies and mapping, basic statistics, control charts, data collection and more.
This course can be applied to the following certificate:
Six Sigma Black Belt Training Certificate
Benefits and Learning Outcomes
- Recognize the DMAIC (Define, Measure, Analyze, Improve and Control) methodology
- Apply the appropriate strategy and statistical techniques to help eliminate mistakes, reduce processing times and decrease operating costs
- Identify advanced control charting methods, hypothesis testing and correlation analysis
Course Outline/Topics
- Define and Measure
- Overview of Process Improvement Strategies
- Why Six Sigma?
- The DMAIC Strategy
- Roles of Champions, Master Black Belts, and Black Belts
- Choosing a Problem – Pareto Analysis and Pie Charts
- Process Mapping – Flowcharts
- Data-Collection and Sampling Techniques
- Basic Statistics – Location versus Variation
- Control Charts – Variable and Attribute
- Control Charts for Short Production Runs (optional)
- Subgroup Statistics versus Process Parameters
- Rationale for the 1.5s Shift
Measure and Analyze
- Gage Capability Studies (MSA)
- Estimating Process Parameters
- Short- versus Long-Term Variation
- Process and Machine Capability Studies
- Capability Metrics – CP, CPL, CPU, CPK, PPK and ppm
- Effect of the 1.5s Shift on Capability
- Dealing with Non-Normal Distributions
Analyze and Improve
- Check Sheets and Matrix Diagrams
- Multi-vari Analysis for Families of Variation
- Component Swapping for Large Assemblies
- Randomizing and Other Sampling Strategies
- Brainstorming and Cause-and-Effect Diagrams
- Multi-Voting and Decision Making by Consensus
- Regression Analysis, Correlation, and Scatter Diagrams
- Curvilinear Relationships
- Comparison Testing Between “Good” and “Bad” Parts
- Analysis of Means (ANOM)
Improve and Control
- Hypothesis Testing for Averages
- Hypothesis Testing for Standard Deviations
- Hypothesis Testing for Percentage Nonconforming
- Power Curves
- Confidence Intervals
- Determining Proper Sample Sizes
- Introduction to Analysis of Variance (ANOVA)
- Developing Feasible and Economical Solutions
- Solution FMEA
- Pilot Studies
- Mistake Proofing – Poka-Yoke
- Advanced Control Charting Concepts
- Corrective Action Plans
- Work Instructions
- Preserving the Process Knowledge Gained
- Kaizen for Continuous Improvement
Who Should Attend
This unique program has been designed for those wanting to improve the performance of operations in service organizations as well as in manufacturing companies. This includes personnel from these departments; manufacturing, quality, maintenance, engineering and purchasing.
Prerequisites
It will be assumed that program candidates have had no prior statistical training and little, or no, experience in process improvement. All statistical concepts and improvement techniques introduced during this program will be fully explained, with numerous application examples and case studies provided. However, it is recommended that you have access to a manufacturing or office environment so you can complete the capstone project where candidates demonstrate their ability to successfully improve the performance of a real-life operation.
Instructor
Dave received his undergraduate degree in applied math and physics in 1973 and an MBA (summa cum laude) in 1976, both from the University of Wisconsin-Milwaukee, where he also worked as an instructor for courses in mathematics and business statistics.… read more