"This book is a great demonstration of this powerful approach andhow it can make a meaningful difference in any type of business. Ittakes a dedicated engineering approach to implement, but thepayback in customer satisfaction and growth is dramatic."
--Lou Giuliano, chairman, president, and CEO, ITT Industries
No other single volume presents the full breadth of foundingbeliefs behind the successful engineering practices used by today'sleading companies. Helpful to companies in both manufacturing andservice industries, Taguchi's Quality Engineering Handbookprovides accessible material on such topics as:
* Quality loss function
* On-line quality engineering
* Signal-to-noise ratio
* Robust engineering
* Design of experiments (known as the "Taguchi method")
* Mahalanobis-Taguchi Systems (MTS)
* and more.
Prize or Award
* AAP Awards for Excellence in Professional and ScholarlyPublishing, 2006
Arvustused
"...one can find praise for Taguchi's Quality Handbook right at the beginning of the book, where several well-known authorities express their opinions- in fact admiration." ( Choice Magazine , September 2006)
Preface. Acknowledgments. About the Authors. SECTION
1. THEORY. PART
I: GENICHI TAGUCHI'S LATEST THINKING.
1. The 2nd Industrial Revolution and
Information Technology.
2. Management for Quality Engineering.
3. Quality
Engineering: Strategy in Research and Development.
4. Quality Engineering:
The Taguchi Method. PART II: QUALITY ENGINEERING: A HISTORICAL PERSPECTIVE.
5. Development of Quality Engineering in Japan.
6. History of Taguchi's
Quality Engineering in the United States. PART III: QUALITY LOSS FUNCTION.
7. Introduction to QLF.
8. Quality Loss Function for Different Quality
Characteristics.
9. Specification Tolerancing.
10. Tolerance Design. PART
IV: SIGNAL-TO-NOISE RATIO.
11. Introduction to the Signal-to-Noise Ratio.
12. SN Ratios for Continuous Variables.
13. SN Ratio for Classified
Attributes. PART V: ROBUST ENGINEERING.
14. System Design.
15. Parameter
Design.
16. Tolerance Design.
17. Robust Technology Development.
18. Robust
Engineering: A Manager's Perspective.
19. Implementation Strategies. PART
VI: MAHALANOBIS-TAGUCHI SYSTEM (MTS).
20. Mahalanobis-Taguchi System. PART
VII: SOFTWARE TESTING AND APPLICATION.
21. Application of Taguchi Methods to
Software System Testing. PART VIII: ON-LINE QUALITY ENGINEERING.
22.
Tolerancing and Quality Level.
23. Feedback Control Based on Product
Characteristics.
24. Feedback Control of a Process Condition.
25. Process
Diagnosis and Adjustment. PART IX: EXPERIMENTAL REGRESSION.
26. Parameter
Estimation in Regression Equations. PART X: DESIGN OF EXPERIMENTS.
27.
Introduction to Design of Experiments.
28. Fundamentals of Data Analysis.
29.
Introduction to Analysis of Variance.
30. One-Way Layout.
31. Decomposition
to Components with Unit Degrees of Freedom.
32. Two-Way Layout.
33. Two-Way
Layout with Decomposition.
34. Two-Way Layout with Repetition.
35.
Introduction to Orthogonal Arrays.
36. Layout of Orthogonal Arrays Using
Linear Graphs.
37. Incomplete Data.
38. Youden Squares. SECTION
2.
APPLICATION (CASE STUDIES). PART I: ROBUST ENGINEERING: CHEMICAL
APPLICATIONS. Biochemistry. Case
1. Optimization of Bean Sprouting
Conditions by Parameter Design. Case
2. Optimization of Small Algae
Production by Parameter Design. Chemical Reaction. Case
3. Optimization of
Polymerization Reactions. Case
4. Evaluation of Photographic Systems by
Dynamic Operating Window. Measurement. Case
5. Application of Dynamic
Optimization in Ultra-Trace Analysis. Case
6. Evaluation of Component
Separation Using a Dynamic Operating Window. Case
7. Optimization of the
Measuring Method for Granule Strength. Case
8. A Detection of Thermoresistant
Bacteria. Pharmacology. Case
9. Optimization of Model Ointment
Prescriptions for in Vitro Percutaneous Permeation. Separation. Case
10.
Use of a Dynamic Operating Window for Herbal Medicine Granulation. Case
11.
Particle-Size Adjustment in a Fine Grinding Process for Developer. PART II:
ROBUST ENGINEERING: ELECTRICAL APPLICATIONS. Circuits. Case
12. Design for
Amplifier Stabilization. Case
13. Parameter Design of Ceramic Oscillation
Circuits. Case
14. Evaluation Method of Electric Waveforms by Momentary
Values. Case
15. Robust Design for Frequency-Modulation Circuits. Electronic
Devices. Case
16. Optimization of Blow-Off Charge Measurement Systems. Case
17. Evaluation of the Generic Function of Film Capacitors. Case
18. Parameter
Design of Fine Line Patterning for IC Fabrication. Case
19. Minimizing
Variation in Pot Core Transformer Processing . Case
20. Optimization of Back
Contact of Power MOSFETs. Electrophoto. Case
21. Development of
High-Quality Developers for Electrophotography. Case
22. Functional
Evaluation for the Electrophotographic Process. PART III: ROBUST ENGINEERING:
MECHANICAL APPLICATIONS. Biomechanical. Case
23. Biomechanical Comparison
of Flexor Tendon Repairs. Machining. Case
24. Optimization of Machining
Conditions by Electric Power. Case
25. Development of Machining Technology
for High Performance Steel by Transformability. Case
26. Transformability of
Plastic Injection-Molded Gear. Material Design. Case
27. Optimization of a
Felt Resist Paste Formula Used in Partial Felting. Case
28. Development of
Friction Material for Automatic Transmissions. Case
29. Parameter Design on a
Foundry Process Using Green Sand. Case
30. Development of Functional Material
by Plasma Spraying. Material Strength. Case
31. Optimization of Two-Piece
Gear Brazing Conditions. Case
32. Optimization of Resistance Welding
Conditions for Electronic Components. Case
33. Tile Manufacturing Using
Industrial Waste. Measurement Case
34. Development of an
Electrophotographic Toner Charging Function Measuring System. Case
35. Clear
Vision by Robust Design. Case
36. Optimization of Adhesion Condition of Resin
Board and Copper Plate. Case
37. Optimization of a Wave Soldering Process.
Case
38. Optimization of Casting Conditions for Camshafts by Simulation. Case
39. Optimization of Photoresist Profile Using Simulation. Case
40.
Optimization of a Deep Drawing Process. Case
41. Robust Technology
Development of an Encapsulation Process. Case
42. Gas-Arc Stud Weld Process
Parameter Optimization Utilizing Robust Design. Case
43. Optimization of
Molding Conditions of Thick-Walled Products. Case
44. Quality Improvement of
Electro-Deposited Process for Magnet Production. Case
45. Optimization of an
Electrical Encapsulation Process Through Parameter Design. Case
46.
Development of Plastic Injection Molding Technology by Transformability.
Product Development. Case
47. Stability Design of Shutter Mechanisms of
Single-Use Cameras by Simulation. Case
48. Optimization of a Clutch Disc
Torsional Damping System Design. Case
49. Direct Injection Diesel Injector
Optimization. Case
50. Optimization of Disc Blade Mobile Cutters. Case
51.
D-VHS Tape Travel Stability. Case
52. Functionality Evaluation of Spindles.
Case
53. Improving Minivan Rear Window Latching. Case
54. Linear Proportional
Purge Solenoids. Case
55. Optimization of a Linear Actuator Using Simulation.
Case
56. Functionality of Evaluation of Articulated Robots. Case
57. New
Ultra-Miniature EMS Tact Switch Optimization. Case
58. Optimization of an
Electrical Connector Insulator Contact Housing. Case
59. Air Flow Noise
Reduction of Intercoolers. Case
60. Reduction of Boosting Force Variation of
Brake Boosters. Case
61. Reduction of Chattering Noise in 47-Feeder Valves.
Case
62. Optimal Design for a Small DC Motor. Case
63. Steering System
On-Center Robustness. Case
64. Improvement of the Taste of Omelets. Case
65.
Wiper System Chatter Reduction. Other. Case
66. Fabrication Line Capacity
Planning Using a Robust Design Dynamic Model. PART IV: MAHALANOBIS-TAGUCHI
SYSTEM (MTS). Human Performance. Case
67. Prediction of Programming
Ability from a Questionnaire Using MTS. Case
68. Technique for the Evaluation
of Programming Ability Based on MTS. Inspection. Case
69. Application of
Mahalanobis Distance for the Automatic Inspection of Solder Joints. Case
70.
Application of MTS to Thermal Ink Jet Image Quality Inspection. Case
71.
Detector Switch Characterization Using MTS. Case
72. Exhaust Sensor Output
Characterization Using MTS. Case
73. Defects Detection Using MTS. Medical
Diagnosis. Case
74. Application of Mahalanobis Distance to the Measurement
of Drug Efficacy. Case
75. Use of Mahalanobis Distance in Medical Diagnosis.
Case
76. Prediction of Urinary Continence Recovery Among Patients with Brain
Disease Using Mahalanobis Distance. Case
77. Mahalanobis Distance Application
for Health Examination and Treatment of Missing Data. Case
78. Forecasting
Future Health from Existing Medical Examination Results Using MTS.. Product.
Case
79. Character Recognition Using Mahalanobis Distance. Case
80. Printed
Letter Inspection Technique Using MTS. PART V: SOFTWARE TESTING AND
APPLICATION. Algorithms. Case
81. Optimization of a Diesel Engine
Software Control Strategy. Case
82. Optimizing Video Compression. Computer
Systems. Case
83. Robust Optimization of a Real-Time Operating System Using
Parameter Design. Software. Case
84. Evaluation of Capability and Error in
Programming. Case
85. Evaluation of Programmer's Ability in Software
Production. Case
86. Robust Testing of Electronic Warfare Systems. Case
87.
Streamlining of Debugging Software Using an Orthogonal Array. PART VI:
ON-LINE QUALITY ENGINEERING. On-Line Case
88. Application of On-Line
Quality Engineering to the Automobile Manufacturing Process. Case
89. Design
of Preventive Maintenance of a Bucket Elevator Through Simultaneous Use of
Periodic Maintenance and Checkup. Case
90. Feedback Control by Quality
Characteristics. Case
91. Control of Mechanical Component Parts in a
Manufacturing Process. Case
92. Semiconductor Rectifier Manufacturing by
On-Line Quality Engineering. PART VII: MISCELLANEOUS. Miscellaneous. Case
93. Estimation of Working Hours in Software Development. Case
94. Application
of Linear and Nonlinear Regression Equations for Engineering. SECTION
3.
TAGUCHI'S METHODS VERSUS OTHER QUALITY PHILOSOPHIES.
Chapter
39. Quality
Management in Japan
Chapter
40. Deming and Taguchi's Quality Engineering.
Chapter
41. Enhancing Robust Design with the Aid of TRIZ and Axiomatic
Design.
Chapter
42. Testing and Quality Engineering.
Chapter
43. Total
Product Development and Taguchi's Quality Engineering.
Chapter
44. Role of
Taguchi Methods in Design for Six Sigma. Appendix A: Orthogonal Array and
Linear Graphs. Tools for Quality Engineering. Appendix B: Equations for
On-Line Process Control. Appendix C: Orthogonal Array and Linear Graphs for
Chapter
38. Glossary. Bibliopgraphy. Index.
GENICHI TAGUCHI , DSc, is Executive Director of the American Supplier Institute (ASI). Dr. Taguchi, an international authority in quality engineering, was awarded the prestigious Deming Prize in 1960 and the Willard F. Rockwell Medal in 1986. He was inducted into the World Level of the Hall of Fame for Engineering, Science, and Technology in 1998, and the Automotive Hall of Fame in 1997. He authored or coauthored forty books and more than 400 technical articles in leading journals. SUBIR CHOWDHURY , DEng, is Chairman and CEO of ASI Consulting Group. He is one of the world's foremost authorities in helping leaders achieve positive and measurable results in business process improvement. He has been awarded the Willard F. Rockwell Medal and was inducted into the World Level of the Hall of Fame for Engineering, Science, and Technology in 2004. Hailed by the New York Times as the "Leading Quality Expert," he is the author of eleven books, including The Power of Six Sigma , which has sold more than a million copies and has been translated into twenty languages. The late YUIN WU was executive director of ASI. He penned the first English (and Chinese) translations of Taguchi's work, and is credited with conducting the first Taguchi Methods experiments in the United States while working with private industry in California. He was active as a consultant in North America as well as many countries in Europe, South America, and Asia. He was the author of several books and hundreds of technical papers.