Implementing Six Sigma: Smarter Solutions Using Statistical Methods / Edition 2

by Forrest W. Breyfogle III

Overview

• Includes new and expanded coverage of Six Sigma infrastructure building and benchmarking.
• Provides plans, checklists, metrics, and pitfalls.

Product Details

ISBN-13:	9780471265726
Publisher:	Wiley
Publication date:	04/07/2003
Edition description:	Second Edition
Pages:	1232
Product dimensions:	6.40(w) x 9.30(h) x 2.70(d)

About the Author

Forrest W. Breyfogle III is the founder and President of Smarter Solutions, Inc., a company specializing in training andconsulting in Six Sigma methodologies. He is the author of Statistical Methods for Testing, Development, and Manufacturing and Implementing Six Sigma and coauthor of Managing Six Sigma, all published by Wiley.

Table of Contents

PREFACE.

PART I: S⁴/IEE DEPLOYMENT AND DEFINE PHASE FROM DMAIC.

1. Six Sigma Overview and S⁴/IEEE Implementation.

2. Voice of the Customer and the S⁴/IEEE Define Phase.

PART II: S⁴/IEE MEASURE PHASE FROM DMAIC.

3. Measurement and the S⁴/IEEE Measurement Phase.

4. Process Flow Charting/Process Mapping.

5. Basic Tools.

6. Probability.

7. Overview of Distributions and Statistical Processes.

8. Probability and Hazard Plotting.

9. Six Sigma Measurements.

10. Basic Control Charts.

11. Process Capability and Process Performance Metrics.

12. Measurement Systems Analysis.

13. Cause-and-Effect Matrix and Quality Function Deployment.

14. FMEA (Failure Mode and Effects Analysis).

PART III: S⁴/IEE ANALYZE PHASE FROM DMAIC (OR PASSIVE ANALYSIS PHASE).

15. Visualization of Data.

16. Confidence Intervals and Hypothesis Tests.

17. Inferences: Continuous Response.

18. Inference: Attribute (Pass/Fail) Response.

19. Comparison Tests: Continuous Response.

20. Comparison Tests: Attribute (Pass/Fail) Response.

21. Bootstrapping.

22. Variance Components.

23. Correlation and Simple Linear Regression.

24. Single-Factor (One-Way) Analysis of Variance (ANOVA) and Analysis of Means (ANOM).

25. Two-Factor (Two-Way) Analysis of Variance.

26. Multiple Regression, Logistic Regression, and Indicator Variables.

PART IV: S⁴/IEE IMPROVE PHASE FROM DMAIC (OR PROACTIVE TESTING PHASE).

27. Benefiting from Design of Experiments (DOE).

28. Understanding the Creation of Full and Fractional Factorial 2^K DOEs.

29. Planning 2^K DOEs.

30. Design and Analysis of 2^K DOEs.

31. Other DOE Considerations.

32. Robust DOE.

33. Response Surface Methodology.

PART V: S⁴/IEE CONTROL PHASE FROM DMAIC AND APPLICATION EXAMPLES.

34. Short-Run and Target Control Charts.

35. Control Charting Alternatives.

36. Exponentially Weighted Moving Average (EWMA) and Engineering Process Control (EPC).

37. Pre-Control Charts.

38. Control, Plan, Poka-Yoke, Realistic Tolerancing, and Project Completion.

39. Reliability Testing/Assessment: Overview.

40. Reliability Testing/Assessment: Repairable System.

41. Reliability Testing/Assessment: Nonrepairable Devices.

42. Pass/Fall Functional Testing.

43. S⁴/IEEE Application Examples.

PART VI: S⁴/IEE LEAN AND THEORY OF CONSTRAINTS.

44. Lean and Its Integration with S⁴/IEEE .

45. Integrating of Theory of Constraints (TOC) in S⁴  /IEE.

PART VII: DFSS AND 21-STEP INTEGRATION OF THE TOOLS.

46. Manufacturing Applications and A 21-Step Integration of the Tools.

47. Service/Transactional Applications and A 21-Step Integration of the Tools.

48. DFSS Overview and Tools.

49. Product DFSS.

50. Process DFSS.

PART VIII: MANAGEMENT OF INFRASTRUCTURE AND TEAM EXECUTION.

51. Change Management.

52. Project Management and Financial Analysis.

53. Team Effectiveness.

54. Creativity.

55. Alignment of Management Initiatives and Strategies with S⁴/IEEE .

Appendix A. Supplemental Information.

Appendix B. Equations for the Distributions.

Appendix C. Mathematical Relationships.

Appendix D. DOE Supplement.

Appendix E. Reference Tables.

List of Symbols.

Glossary.

References. 

Index.

What People are Saying About This

From the Publisher

2004 Crosby Medal Winner

Editorial Reviews

"The book is process oriented rather than tool oriented. This makesit refreshing and useful. This is a book every reliability engineershould own." (Reliability Review; 12/08)

"An excellent reference book that should be on every individualinvolved in Six Sigma or even just quality assurance/qualityimprovement." (TQM Magazine)

"...a useful guide for both academia and organizations...usefulsource of reference for researchers...an excellent referencebook..." (The TQM Magazine, Vol 15(6) 2003)

From the Publisher