Six Sigma Case Studies with Minitab®

Book description

What happens when one of the most widely used quality improvement methodologies meets the world’s leading statistical software for quality improvement? Packed with case studies in a variety of sectors, including health care, manufacturing, airlines, and fast food restaurants, Six Sigma Case Studies with Minitab® shows you how to maximize the quality analysis and improvement tools available in Minitab® for your Six Sigma projects.

Highly illustrated, the book includes detailed steps and more than 380 screenshots that explain how to use:

  • Confidence Interval Estimation
  • Hypothesis Testing
  • Chi-Square Analysis
  • Process Capability Analysis
  • Binary Logistic Regression
  • Item Analysis
  • Cluster Analysis
  • Mixture Design and Analysis of Experiments
  • Multivariate Analysis
  • Pareto Charts
  • Cause-and-Effect Diagram
  • Gage Repeatability and Reproducibility Analysis
  • Taguchi Design and Analysis of Experiments
  • Factorial Design and Analysis of Experiments
  • Statistical Control Charts

The case studies demonstrate the wide range of sectors and uses for Six Sigma and Minitab®. The screenshots provide exceptional detail and the book includes explanations for many Six Sigma terms and an appendix with the contents of the Minitab® worksheets that are referred to in most of the chapters. These features and more give you the tools to meet the challenges of continuous improvement expected in today’s marketplace.

Table of contents

  1. Front Cover (1/2)
  2. Front Cover (2/2)
  3. Contents
  4. Preface
  5. Acknowledgments
  6. About the Authors
  7. Chapter 1: Introduction to Six Sigma Quality (1/3)
  8. Chapter 1: Introduction to Six Sigma Quality (2/3)
  9. Chapter 1: Introduction to Six Sigma Quality (3/3)
  10. Chapter 2: Quality Analysis and Improvement Tools/Techniques Used in This Book (1/2)
  11. Chapter 2: Quality Analysis and Improvement Tools/Techniques Used in This Book (2/2)
  12. Chapter 3: Confidence Intervals to Assess Variation in Fat Content at a Fast-Food Restaurant (1/4)
  13. Chapter 3: Confidence Intervals to Assess Variation in Fat Content at a Fast-Food Restaurant (2/4)
  14. Chapter 3: Confidence Intervals to Assess Variation in Fat Content at a Fast-Food Restaurant (3/4)
  15. Chapter 3: Confidence Intervals to Assess Variation in Fat Content at a Fast-Food Restaurant (4/4)
  16. Chapter 4: Hypothesis Testing for Quality Control at a Manufacturing Company (1/4)
  17. Chapter 4: Hypothesis Testing for Quality Control at a Manufacturing Company (2/4)
  18. Chapter 4: Hypothesis Testing for Quality Control at a Manufacturing Company (3/4)
  19. Chapter 4: Hypothesis Testing for Quality Control at a Manufacturing Company (4/4)
  20. Chapter 5: Chi-Square Analysis to Verify Quality of Candy Packets (1/4)
  21. Chapter 5: Chi-Square Analysis to Verify Quality of Candy Packets (2/4)
  22. Chapter 5: Chi-Square Analysis to Verify Quality of Candy Packets (3/4)
  23. Chapter 5: Chi-Square Analysis to Verify Quality of Candy Packets (4/4)
  24. Chapter 6: Process Capability Analysis at a Manufacturing Company (1/5)
  25. Chapter 6: Process Capability Analysis at a Manufacturing Company (2/5)
  26. Chapter 6: Process Capability Analysis at a Manufacturing Company (3/5)
  27. Chapter 6: Process Capability Analysis at a Manufacturing Company (4/5)
  28. Chapter 6: Process Capability Analysis at a Manufacturing Company (5/5)
  29. Chapter 7: Binary Logistic Regression to Predict Customer Satisfaction at a Restaurant (1/3)
  30. Chapter 7: Binary Logistic Regression to Predict Customer Satisfaction at a Restaurant (2/3)
  31. Chapter 7: Binary Logistic Regression to Predict Customer Satisfaction at a Restaurant (3/3)
  32. Chapter 8: Item Analysis and Cluster Analysis to Gather “Voice of the Customer” (VOC) Data from Employees at a Service Firm (1/4)
  33. Chapter 8: Item Analysis and Cluster Analysis to Gather “Voice of the Customer” (VOC) Data from Employees at a Service Firm (2/4)
  34. Chapter 8: Item Analysis and Cluster Analysis to Gather “Voice of the Customer” (VOC) Data from Employees at a Service Firm (3/4)
  35. Chapter 8: Item Analysis and Cluster Analysis to Gather “Voice of the Customer” (VOC) Data from Employees at a Service Firm (4/4)
  36. Chapter 9: Mixture Designs to Optimize Pollution Level and Temperature of Fuels (1/5)
  37. Chapter 9: Mixture Designs to Optimize Pollution Level and Temperature of Fuels (2/5)
  38. Chapter 9: Mixture Designs to Optimize Pollution Level and Temperature of Fuels (3/5)
  39. Chapter 9: Mixture Designs to Optimize Pollution Level and Temperature of Fuels (4/5)
  40. Chapter 9: Mixture Designs to Optimize Pollution Level and Temperature of Fuels (5/5)
  41. Chapter 10: Multivariate Analysis to Reduce Patient Waiting Time at a Medical Center (1/5)
  42. Chapter 10: Multivariate Analysis to Reduce Patient Waiting Time at a Medical Center (2/5)
  43. Chapter 10: Multivariate Analysis to Reduce Patient Waiting Time at a Medical Center (3/5)
  44. Chapter 10: Multivariate Analysis to Reduce Patient Waiting Time at a Medical Center (4/5)
  45. Chapter 10: Multivariate Analysis to Reduce Patient Waiting Time at a Medical Center (5/5)
  46. Chapter 11: Pareto Chart and Fishbone Diagram to Minimize Recyclable Waste Disposal in a Town (1/2)
  47. Chapter 11: Pareto Chart and Fishbone Diagram to Minimize Recyclable Waste Disposal in a Town (2/2)
  48. Chapter 12: Measurement System Analysis at a Medical Equipment Manufacturer (1/4)
  49. Chapter 12: Measurement System Analysis at a Medical Equipment Manufacturer (2/4)
  50. Chapter 12: Measurement System Analysis at a Medical Equipment Manufacturer (3/4)
  51. Chapter 12: Measurement System Analysis at a Medical Equipment Manufacturer (4/4)
  52. Chapter 13: Taguchi Design to Improve Customer Satisfaction of an Airline Company (1/4)
  53. Chapter 13: Taguchi Design to Improve Customer Satisfaction of an Airline Company (2/4)
  54. Chapter 13: Taguchi Design to Improve Customer Satisfaction of an Airline Company (3/4)
  55. Chapter 13: Taguchi Design to Improve Customer Satisfaction of an Airline Company (4/4)
  56. Chapter 14: Factorial Design of Experiments to Optimize a Chemical Process (1/6)
  57. Chapter 14: Factorial Design of Experiments to Optimize a Chemical Process (2/6)
  58. Chapter 14: Factorial Design of Experiments to Optimize a Chemical Process (3/6)
  59. Chapter 14: Factorial Design of Experiments to Optimize a Chemical Process (4/6)
  60. Chapter 14: Factorial Design of Experiments to Optimize a Chemical Process (5/6)
  61. Chapter 14: Factorial Design of Experiments to Optimize a Chemical Process (6/6)
  62. Chapter 15: Chi-Square Test to Verify Source Association with Parts Purchased and Products Produced (1/4)
  63. Chapter 15: Chi-Square Test to Verify Source Association with Parts Purchased and Products Produced (2/4)
  64. Chapter 15: Chi-Square Test to Verify Source Association with Parts Purchased and Products Produced (3/4)
  65. Chapter 15: Chi-Square Test to Verify Source Association with Parts Purchased and Products Produced (4/4)
  66. Appendix (1/4)
  67. Appendix (2/4)
  68. Appendix (3/4)
  69. Appendix (4/4)
  70. Back Cover

Product information

  • Title: Six Sigma Case Studies with Minitab®
  • Author(s): Kishore K. Pochampally, Surendra M. Gupta
  • Release date: February 2014
  • Publisher(s): CRC Press
  • ISBN: 9781482205596