Six Sigma Case Studies with Minitab® – Kishore K. Pochampally, Surendra M. Gupta – 1st Edition

Preface
Acknowledgments
About the Authors
Section I Background
1. Introduction to Six Sigma Quality
1.1 Definitions
1.1.1 Defects Per Million Opportunities (DPMO)
1.1.1.1 DPMO Example 1
1.1.1.2 DPMO Example 2
1.1.1.3 DPMO Example 3
1.2 DMAIC Approach
1.3 Book Outline
References
2. Quality Analysis and Improvement Tools/Techniques Used in This Book
2.1 Confidence Interval Estimation
2.2 Hypothesis Testing
2.3 Chi-Square Analysis
2.4 Process Capability Analysis
2.5 Binary Logistic Regression
2.6 Item Analysis
2.7 Cluster Analysis
2.8 Mixture Design and Analysis of Experiments
2.9 Multivariate Analysis
2.10 Pareto Chart
2.11 Cause-and-Effect Diagram
2.12 Gage Repeatability and Reproducibility Analysis
2.13 Taguchi Design and Analysis of Experiments
2.14 Factorial Design and Analysis of Experiments
2.15 Statistical Control Charts
2.16 Normality Test
2.17 Analysis of Variance (ANOVA)
References
3. Confidence Intervals to Assess Variation in Fat Content at a Fast-Food Restaurant
3.1 Define Phase
3.2 Measure Phase
3.3 Analyze Phase
3.4 Improve Phase
3.5 Control Phase
4. Hypothesis Testing for Quality Control at a Manufacturing Company
4.1 Define Phase
4.2 Measure and Analyze Phases
4.2.1 Test 1
4.2.2 Test 2
4.2.3 Test 3
4.3 Improve and Control Phases
5. Chi-Square Analysis to Verify Quality of Candy Packets
5.1 Define Phase
5.2 Measure Phase
5.3 Analyze Phase
5.4 Improve and Control Phases
6. Process Capability Analysis at a Manufacturing Company
6.1 Define Phase
6.2 Measure Phase
6.3 Analyze Phase
6.4 Improve Phase
6.5 Control Phase
7. Binary Logistic Regression to Predict Customer Satisfaction at a Restaurant
7.1 Define Phase
7.2 Measure Phase
7.3 Analyze Phase
7.4 Improve and Control Phases
8. Item Analysis and Cluster Analysis to Gather “Voice of the Customer” (VOC) Data from Employees at a Service Firm
8.1 Define Phase
8.2 Measure Phase
8.3 Analyze Phase
8.4 Improve and Control Phases
9. Mixture Designs to Optimize Pollution Level and Temperature of Fuels
9.1 Define Phase
9.2 Measure Phase
9.3 Analyze Phase
9.4 Design and Verify Phases
10. Multivariate Analysis to Reduce Patient Waiting Time at a Medical Center
10.1 Define Phase
10.2 Measure Phase
10.3 Analyze Phase
10.4 Improve Phase
10.5 Control Phase
11. Pareto Chart and Fishbone Diagram to Minimize Recyclable Waste Disposal in a Town
11.1 Define and Measure Phases
11.2 Analyze Phase
11.3 Improve and Control Phases
12. Measurement System Analysis at a Medical Equipment Manufacturer
12.1 Define Phase
12.2 Measure Phase
12.3 Analyze, Improve, and Control Phases
13. Taguchi Design to Improve Customer Satisfaction of an Airline Company
13.1 Define Phase
13.2 Measure Phase
13.3 Analyze Phase
13.4 Improve and Control Phases
14. Factorial Design of Experiments to Optimize a Chemical Process
14.1 Define Phase
14.2 Measure Phase
14.3 Analyze Phase
14.4 Improve and Control Phases
15. Chi-Square Test to Verify Source Association with Parts Purchased and Products Produced
15.1 Define Phase
15.2 Measure Phase
15.3 Analyze Phase
15.4 Improve and Control Phases
Appendix