Curriculum
- 6 Sections
- 60 Lessons
- 4 Days
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- INTRODUCTION5
- DEFINE8
- MEASURE15
- 3.0Process Mapping (As-Is Process)
- 3.1Data Attributes (Continuous Versus Discrete)
- 3.2Defining Metrics
- 3.3Measurement System Analysis
- 3.4Gage Repeatability And Reproducibility
- 3.5Data Collection Techniques
- 3.6Calculating Sample Size
- 3.7Data Collection Plan
- 3.8Understanding Variation
- 3.9Measuring Process Capability
- 3.10Calculating Process Sigma LevelCopy
- 3.11Rolled Throughput Yield
- 3.12Visually Displaying Baseline Performance
- 3.13Statistical Software Training
- 3.14Measurement Phase Review
- ANALYZE14
- 4.0Visually Displaying Data (Histogram, Run Chart, Pareto Chart, Scatter Diagram)
- 4.1Detailed (Lower Level) Process Mapping of Critical Areas
- 4.2Value-Added Analysis
- 4.3Cause and Effect Analysis (a.k.a. Fishbone, Ishikawa)
- 4.4Affinity Diagram
- 4.5Data Segmentation and Stratification
- 4.6Correlation and Regression (Linear, Multiple)
- 4.7Process Performance (Cp, CpK, Cp, CpK, CM)
- 4.8Short Term Versus Long Term Capability
- 4.9Non-Normal Data Distribution Transformation
- 4.10Central Limit Theorem
- 4.11Goodness of Fit Testing
- 4.12Hypothesis Testing
- 4.13Analysis of Variance (ANOVA), Two Sample T-Test, Chi-Squared Test
- IMPROVE10
- 5.0Brainstorming
- 5.1Multi-Voting
- 5.2Process Simulation
- 5.3Quality Function Deployment (House of Quality)
- 5.4Selecting a Solution
- 5.5Poka Yoke (Mistake Proofing Your New Process)
- 5.6Failure Modes and Effects Analysis (FMEA)
- 5.7Piloting Your Solution
- 5.8Statistical Software TrainingCopy
- 5.9Culture Modification Planning for Your Organization
- CONTROL8