Implementing Six Sigma: Smarter Solutions Using Statistical Methods - Breyfogle, Forrest W. (New York John Wiley & Sons, Inc., 1999)
S4 Deployment Strategy Phase Overview and Implementation Knowledge-Centered Activity (KCA) Focus and Process Improvement S4 Measurement Phase Overview of Descriptive Statistics and Experimentation Traps Process Flowcharting/Process Mapping Basic Tools Probability Overview of Distributions and Statistical Processes Probability and hazard Platting Six Sigma Measurements Basic Control Charts Process Capability and Process Performance Measurement Systems Analysis (Gauge Repeatability and Reproducibility - Gauge R & R) Cause-and-Effect Matrix and Quality Function Development Failure Mode and Effects Analysis (FMEA) Visualization of Data Confidence Intervals and Hypothesis Tests Inferences: Continuous Response Inferences: Attribute (Pass/Fail) Response Comparison Tests: Continuous Response Comparison Tests: Attribute (Pass/Fail) Response Bootstrapping Variance Components Correlation and Simple Linear Regression Single-Factor (One-Way) Analysis of Variance Two-Factor (Two-Way) Analysis of Variance Multiple Regression Improvement Phase Benefiting From Design of Experiments (DOE) Understanding the Creation of full and Fractional Factorial 2k DOEs Planning 2k DOEs Design and Analysis of 2k DOEs Others DOE Considerations Variability Reduction through DOE and Taguchi Considerations Response Surface methodology Short-Run and Target Control charts Other control charting alternatives Exponentially Weighted Moving Average (EWMA) and Engineering Process Control (EPS) Pre-Control Charts Control Plan and Other Strategies Reliability Testing/Assessment: Nonreplicable Devices Pass/Fail Functional Testing Application Examples Equations for the Distributions Descriptive Information DOE Supplement
Keywords: Mechanical Engineering