World Class Quality (Bhote)

Table of Contents

Part I: Introduction

1. The Need for and Objectives and Benefits of Design of Experiments

2. Fads; Potions; Nostrums of the Quality Movement in the Last 50 Years

3. A Powerful Tool Kit for the 21st Century.

Part II: Preamble to the Design of Experiments (DOE)

4. The Measurement of Process Capability

5. Variation: An Industrial Epidemic

6. The Three Approaches to DOE: Classical, Taguchi, and Shainin

7. A Synopsis of the 10 Powerful DOE Tools

Part III: "Talking to the Parts" - A Set of Clue-Generating Tools

8. The Multi-Vari Analysis: Homing In on the Red X

9. The Concentration Chart: Pinpointing Locations of Repetitive Problems

10. Components Search: Simple, Smooth Swapping

11. Paired Comparisons: An Elegant, Versatile Tool

12. Product / Process Search: Pinpointing Process Variables

Part IV: Formal DOE to Characterize a Product / Process

13. Variables Search: The Mount Everest in the Search for the Red X

14. The Full Factorial: Purest Technique for Separating and Quantifying Each Interaction Effect

15. B versus C: An Excellent Validation Technique

Part V: DOE Optimization

16. Scatter Plots to Achieve Realistic Specifications and Tolerances

17. Response Surface Methodology (RSM): To Optimize Interactions

Part VI: The Transition from DOE to SPC: Vital Disciplines

18. Positrol: Freezing Process Gains

19. Process Certification: Eliminating Peripheral Causes of Poor Quality

Part VII: Statistical Process Control: For Monitoring Quality

20. Control Charts: A Technique Whose Time Has Gone

21. Pre-Control: A Technique Whose Time Has Come

Part VIII: Linkage of DOE to Reliability

22. Multiple Environment Over Stress Tests: As Effective for Reliability as DOE is for Quality

Part IX: A Logical Sequence in the Use of DOE Tools

23. Case Studies in Sequential DOE Tools to Solve Chronic Problems

Part X: From Classroom Instruction to True Learning on the Job

24. Learning by Doing

References

Index