Taguchi′s Quality Engineering Handbook

"This book is a great demonstration of this powerful approach and how it can make a meaningful difference in any type of business. It takes a dedicated engineering approach to implement, but the payback in customer satisfaction and growth is dramatic." —Lou Giuliano, chairman, president, and CEO, ITT Industries No other single volume presents the full breadth of founding beliefs behind the successful engineering practices used by today′s leading companies. Helpful to companies in both manufacturing and service industries, Taguchi′s Quality Engineering Handbook provides 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 Scholarly Publishing, 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.