Implementing Six Sigma: Smarter Solutions Using Statistical Methods, 2nd Edition – Forrest W. Breyfogle III
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In StockDESCRIPTION
- Includes new and expanded coverage of Six Sigma infrastructure building and benchmarking.
- Provides plans, checklists, metrics, and pitfalls.
Description
Unlock exclusive learning opportunities with the Implementing Six Sigma: Smarter Solutions Using Statistical Methods, 2nd Edition – Forrest W. Breyfogle III course at esys[GB]. Explore expert insights, advanced techniques, and practical applications from world-renowned instructors in your chosen field. Empower your growth and career with our curated collection of over 70,000 courses from top authors such as John Overdurf, Conor Harris, Tony Robbins, Dr. Joe Dispenza, and more.
DESCRIPTION
- Includes new and expanded coverage of Six Sigma infrastructure building and benchmarking.
- Provides plans, checklists, metrics, and pitfalls.
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 2K DOEs.
29. Planning 2K DOEs.
30. Design and Analysis of 2K 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.
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