Curriculum
- 6 Sections
- 60 Lessons
- 4 Days
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- INTRODUCTION5
- DEFINE8
- MEASURE15
- 3.1Process Mapping (As-Is Process)
- 3.2Data Attributes (Continuous Versus Discrete)
- 3.3Defining Metrics
- 3.4Measurement System Analysis
- 3.5Gage Repeatability And Reproducibility
- 3.6Data Collection Techniques
- 3.7Calculating Sample Size
- 3.8Data Collection Plan
- 3.9Understanding Variation
- 3.10Measuring Process Capability
- 3.11Calculating Process Sigma LevelCopy
- 3.12Rolled Throughput Yield
- 3.13Visually Displaying Baseline Performance
- 3.14Statistical Software Training
- 3.15Measurement Phase Review
- ANALYZE14
- 4.1Visually Displaying Data (Histogram, Run Chart, Pareto Chart, Scatter Diagram)
- 4.2Detailed (Lower Level) Process Mapping of Critical Areas
- 4.3Value-Added Analysis
- 4.4Cause and Effect Analysis (a.k.a. Fishbone, Ishikawa)
- 4.5Affinity Diagram
- 4.6Data Segmentation and Stratification
- 4.7Correlation and Regression (Linear, Multiple)
- 4.8Process Performance (Cp, CpK, Cp, CpK, CM)
- 4.9Short Term Versus Long Term Capability
- 4.10Non-Normal Data Distribution Transformation
- 4.11Central Limit Theorem
- 4.12Goodness of Fit Testing
- 4.13Hypothesis Testing
- 4.14Analysis of Variance (ANOVA), Two Sample T-Test, Chi-Squared Test
- IMPROVE10
- 5.1Brainstorming
- 5.2Multi-Voting
- 5.3Process Simulation
- 5.4Quality Function Deployment (House of Quality)
- 5.5Selecting a Solution
- 5.6Poka Yoke (Mistake Proofing Your New Process)
- 5.7Failure Modes and Effects Analysis (FMEA)
- 5.8Piloting Your Solution
- 5.9Statistical Software TrainingCopy
- 5.10Culture Modification Planning for Your Organization
- CONTROL8
Statistical Process Control (SPC)
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