Six Sigma is one of the most widely used quality improvement methodologies today, both in manufacturing and service industries. Minitab® is a statistical software package that is often used in conjunction with Six Sigma projects. This book illustrates the application of Minitab® for Six Sigma projects, using case studies in a variety of sectors, such as healthcare, manufacturing, airline, and fast food. Detailed steps and screenshots are provided to explain how to use a number of quality analysis and improvement tools in Minitab®.
Preface
Acknowledgments
About the Authors
Part I : Background
Chapter 1 : Introduction to Six Sigma Quality
Chapter 2 : Quality Analysis and Improvement Tools/Techniques Used in this Book
Part II : Six Sigma Case Studies
Chapter 3 : Confidence Intervals to Assess Variation in Fat Content at a Fast-Food Restaurant
Chapter 4 : Hypothesis Testing for Quality Control at a Manufacturing Company
Chapter 5 : Chi-Square Analysis to Verify Quality of Candy Packets
Chapter 6 : Process Capability Analysis at a Manufacturing Company
Chapter 7 : Binary Logistic Regression to Predict Customer Satisfaction at a Restaurant
Chapter 8 : Item Analysis and Cluster Analysis to Gather "Voice of the Customer" (VOC) Data from Employees at a Service Firm
Chapter 9 : Mixture Designs to Optimize Pollution Level and Temperature of Fuels
Chapter 10 : Multivariate Analysis to Reduce Patient Waiting Time at a Medical Center
Chapter 11 : Pareto Chart and Fishbone Diagram to Minimize Recyclable Waste Disposal in a Town
Chapter 12 : Measurement System Analysis at a Medical Equipment Manufacturer
Chapter 13 : Taguchi Design to Improve Customer Satisfaction of an Airline Company
Chapter 14 : Factorial Design of Experiments to Optimize a Chemical Process
Chapter 15 : Chi-Square Test to verify Source Association with Parts Purchased and Products Produced
Appendix
Index