{"product_id":"taguchis-quality-engineering-handbook-isbn-9780471413349","title":"Taguchi's Quality Engineering Handbook","description":"\"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.\"\u003cbr\u003e --Lou Giuliano, chairman, president, and CEO, ITT Industries\u003cbr\u003e \u003cbr\u003e 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:\u003cbr\u003e * Quality loss function\u003cbr\u003e * On-line quality engineering\u003cbr\u003e * Signal-to-noise ratio\u003cbr\u003e * Robust engineering\u003cbr\u003e * Design of experiments (known as the \"Taguchi method\")\u003cbr\u003e * Mahalanobis-Taguchi Systems (MTS)\u003cbr\u003e * and more.\u003cbr\u003e \u003cbr\u003e Prize or Award\u003cbr\u003e * AAP Awards for Excellence in Professional and ScholarlyPublishing, 2006  Preface.  \u003cp\u003eAcknowledgments.\u003c\/p\u003e \u003cp\u003eAbout the Authors.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSECTION 1. THEORY.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART I: GENICHI TAGUCHI'S LATEST THINKING.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1. The 2nd Industrial Revolution and Information Technology.\u003c\/p\u003e \u003cp\u003e2. Management for Quality Engineering.\u003c\/p\u003e \u003cp\u003e3. Quality Engineering: Strategy in Research and Development.\u003c\/p\u003e \u003cp\u003e4. Quality Engineering: The Taguchi Method.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART II: QUALITY ENGINEERING: A HISTORICAL PERSPECTIVE.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5. Development of Quality Engineering in Japan.\u003c\/p\u003e \u003cp\u003e6. History of Taguchi's Quality Engineering in the United States.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART III: QUALITY LOSS FUNCTION.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7. Introduction to QLF.\u003c\/p\u003e \u003cp\u003e8. Quality Loss Function for Different Quality Characteristics.\u003c\/p\u003e \u003cp\u003e9. Specification Tolerancing.\u003c\/p\u003e \u003cp\u003e10. Tolerance Design.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART IV: SIGNAL-TO-NOISE RATIO.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11. Introduction to the Signal-to-Noise Ratio.\u003c\/p\u003e \u003cp\u003e12. SN Ratios for Continuous Variables.\u003c\/p\u003e \u003cp\u003e13. SN Ratio for Classified Attributes.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART V: ROBUST ENGINEERING.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e14. System Design.\u003c\/p\u003e \u003cp\u003e15. Parameter Design.\u003c\/p\u003e \u003cp\u003e16. Tolerance Design.\u003c\/p\u003e \u003cp\u003e17. Robust Technology Development.\u003c\/p\u003e \u003cp\u003e18. Robust Engineering: A Manager's Perspective.\u003c\/p\u003e \u003cp\u003e19. Implementation Strategies.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART VI: MAHALANOBIS-TAGUCHI SYSTEM (MTS).\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e20. Mahalanobis-Taguchi System.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART VII: SOFTWARE TESTING AND APPLICATION.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e21. Application of Taguchi Methods to Software System Testing.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART VIII: ON-LINE QUALITY ENGINEERING.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e22. Tolerancing and Quality Level.\u003c\/p\u003e \u003cp\u003e23. Feedback Control Based on Product Characteristics.\u003c\/p\u003e \u003cp\u003e24. Feedback Control of a Process Condition.\u003c\/p\u003e \u003cp\u003e25. Process Diagnosis and Adjustment.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART IX: EXPERIMENTAL REGRESSION.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e26. Parameter Estimation in Regression Equations.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART X: DESIGN OF EXPERIMENTS.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e27. Introduction to Design of Experiments.\u003c\/p\u003e \u003cp\u003e28. Fundamentals of Data Analysis.\u003c\/p\u003e \u003cp\u003e29. Introduction to Analysis of Variance.\u003c\/p\u003e \u003cp\u003e30. One-Way Layout..\u003c\/p\u003e \u003cp\u003e31. Decomposition to Components with Unit Degrees of Freedom.\u003c\/p\u003e \u003cp\u003e32. Two-Way Layout.\u003c\/p\u003e \u003cp\u003e33. Two-Way Layout with Decomposition.\u003c\/p\u003e \u003cp\u003e34. Two-Way Layout with Repetition.\u003c\/p\u003e \u003cp\u003e35. Introduction to Orthogonal Arrays.\u003c\/p\u003e \u003cp\u003e36. Layout of Orthogonal Arrays Using Linear Graphs.\u003c\/p\u003e \u003cp\u003e37. Incomplete Data.\u003c\/p\u003e \u003cp\u003e38. Youden Squares.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSECTION 2. APPLICATION (CASE STUDIES).\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART I: ROBUST ENGINEERING: CHEMICAL APPLICATIONS.\u003c\/b\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003eBiochemistry.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCase 1. Optimization of Bean Sprouting Conditions by Parameter Design.\u003c\/p\u003e \u003cp\u003eCase 2. Optimization of Small Algae Production by Parameter Design.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChemical Reaction.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCase 3. Optimization of Polymerization Reactions.\u003c\/p\u003e \u003cp\u003eCase 4. Evaluation of Photographic Systems by Dynamic Operating Window.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eMeasurement.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCase 5. Application of Dynamic Optimization in Ultra-Trace Analysis.\u003c\/p\u003e \u003cp\u003eCase 6. Evaluation of Component Separation Using a Dynamic Operating Window.\u003c\/p\u003e \u003cp\u003eCase 7. Optimization of the Measuring Method for Granule Strength.\u003c\/p\u003e \u003cp\u003eCase 8. A Detection of Thermoresistant Bacteria.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePharmacology.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCase 9. Optimization of Model Ointment Prescriptions for in Vitro Percutaneous Permeation.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSeparation.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCase 10. Use of a Dynamic Operating Window for Herbal Medicine Granulation.\u003c\/p\u003e \u003cp\u003eCase 11. Particle-Size Adjustment in a Fine Grinding Process for Developer.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART II: ROBUST ENGINEERING: ELECTRICAL APPLICATIONS.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eCircuits.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCase 12. Design for Amplifier Stabilization.\u003c\/p\u003e \u003cp\u003eCase 13. Parameter Design of Ceramic Oscillation Circuits.\u003c\/p\u003e \u003cp\u003eCase 14. Evaluation Method of Electric Waveforms by Momentary Values.\u003c\/p\u003e \u003cp\u003eCase 15. Robust Design for Frequency-Modulation Circuits.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eElectronic Devices.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCase 16. Optimization of Blow-Off Charge Measurement Systems.\u003c\/p\u003e \u003cp\u003eCase 17. Evaluation of the Generic Function of Film Capacitors.\u003c\/p\u003e \u003cp\u003eCase 18. Parameter Design of Fine Line Patterning for IC Fabrication.\u003c\/p\u003e \u003cp\u003eCase 19. Minimizing Variation in Pot Core Transformer Processing .\u003c\/p\u003e \u003cp\u003eCase 20. Optimization of Back Contact of Power MOSFETs.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eElectrophoto.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCase 21. Development of High-Quality Developers for Electrophotography.\u003c\/p\u003e \u003cp\u003eCase 22. Functional Evaluation for the Electrophotographic Process.\u003c\/p\u003e \u003cp\u003ePART III: ROBUST ENGINEERING: MECHANICAL APPLICATIONS.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eBiomechanical.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCase 23. Biomechanical Comparison of Flexor Tendon Repairs..\u003c\/p\u003e \u003cp\u003e\u003cb\u003eMachining.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCase 24. Optimization of Machining Conditions by Electric Power.\u003c\/p\u003e \u003cp\u003eCase 25. Development of Machining Technology for High Performance Steel by Transformability.\u003c\/p\u003e \u003cp\u003eCase 26. Transformability of Plastic Injection-Molded Gear.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eMaterial Design.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCase 27. Optimization of a Felt Resist Paste Formula Used in Partial Felting.\u003c\/p\u003e \u003cp\u003eCase 28. Development of Friction Material for Automatic Transmissions.\u003c\/p\u003e \u003cp\u003eCase 29. Parameter Design on a Foundry Process Using Green Sand.\u003c\/p\u003e \u003cp\u003eCase 30. Development of Functional Material by Plasma Spraying.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eMaterial Strength.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCase 31. Optimization of Two-Piece Gear Brazing Conditions.\u003c\/p\u003e \u003cp\u003eCase 32. Optimization of Resistance Welding Conditions for Electronic Components.\u003c\/p\u003e \u003cp\u003eCase 33. Tile Manufacturing Using Industrial Waste.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eMeasurement\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCase 34. Development of an Electrophotographic Toner Charging Function Measuring System.\u003c\/p\u003e \u003cp\u003eCase 35. Clear Vision by Robust Design.\u003c\/p\u003e \u003cp\u003eCase 36. Optimization of Adhesion Condition of Resin Board and Copper Plate.\u003c\/p\u003e \u003cp\u003eCase 37. Optimization of a Wave Soldering Process.\u003c\/p\u003e \u003cp\u003eCase 38. Optimization of Casting Conditions for Camshafts by Simulation.\u003c\/p\u003e \u003cp\u003eCase 39. Optimization of Photoresist Profile Using Simulation.\u003c\/p\u003e \u003cp\u003eCase 40. Optimization of a Deep Drawing Process.\u003c\/p\u003e \u003cp\u003eCase 41. Robust Technology Development of an Encapsulation Process.\u003c\/p\u003e \u003cp\u003eCase 42. Gas-Arc Stud Weld Process Parameter Optimization Utilizing Robust Design..\u003c\/p\u003e \u003cp\u003eCase 43. Optimization of Molding Conditions of Thick-Walled Products.\u003c\/p\u003e \u003cp\u003eCase 44. Quality Improvement of Electro-Deposited Process for Magnet Production.\u003c\/p\u003e \u003cp\u003eCase 45. Optimization of an Electrical Encapsulation Process Through Parameter Design.\u003c\/p\u003e \u003cp\u003eCase 46. Development of Plastic Injection Molding Technology by Transformability.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eProduct Development.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCase 47. Stability Design of Shutter Mechanisms of Single-Use Cameras by Simulation.\u003c\/p\u003e \u003cp\u003eCase 48. Optimization of a Clutch Disc Torsional Damping System Design.\u003c\/p\u003e \u003cp\u003eCase 49. Direct Injection Diesel Injector Optimization.\u003c\/p\u003e \u003cp\u003eCase 50. Optimization of Disc Blade Mobile Cutters.\u003c\/p\u003e \u003cp\u003eCase 51. D-VHS Tape Travel Stability.\u003c\/p\u003e \u003cp\u003eCase 52. Functionality Evaluation of Spindles.\u003c\/p\u003e \u003cp\u003eCase 53. Improving Minivan Rear Window Latching.\u003c\/p\u003e \u003cp\u003eCase 54. Linear Proportional Purge Solenoids.\u003c\/p\u003e \u003cp\u003eCase 55. Optimization of a Linear Actuator Using Simulation.\u003c\/p\u003e \u003cp\u003eCase 56. Functionality of Evaluation of Articulated Robots.\u003c\/p\u003e \u003cp\u003eCase 57. New Ultra-Miniature EMS Tact Switch Optimization.\u003c\/p\u003e \u003cp\u003eCase 58. Optimization of an Electrical Connector Insulator Contact Housing.\u003c\/p\u003e \u003cp\u003eCase 59. Air Flow Noise Reduction of Intercoolers.\u003c\/p\u003e \u003cp\u003eCase 60. Reduction of Boosting Force Variation of Brake Boosters.\u003c\/p\u003e \u003cp\u003eCase 61. Reduction of Chattering Noise in 47-Feeder Valves.\u003c\/p\u003e \u003cp\u003eCase 62. Optimal Design for a Small DC Motor.\u003c\/p\u003e \u003cp\u003eCase 63. Steering System On-Center Robustness.\u003c\/p\u003e \u003cp\u003eCase 64. Improvement of the Taste of Omelets.\u003c\/p\u003e \u003cp\u003eCase 65. Wiper System Chatter Reduction.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eOther.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCase 66. Fabrication Line Capacity Planning Using a Robust Design Dynamic Model.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART IV: MAHALANOBIS—TAGUCHI SYSTEM (MTS).\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eHuman Performance.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCase 67. Prediction of Programming Ability from a Questionnaire Using MTS.\u003c\/p\u003e \u003cp\u003eCase 68. Technique for the Evaluation of Programming Ability Based on MTS.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eInspection.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCase 69. Application of Mahalanobis Distance for the Automatic Inspection of Solder Joints.\u003c\/p\u003e \u003cp\u003eCase 70. Application of MTS to Thermal Ink Jet Image Quality Inspection.\u003c\/p\u003e \u003cp\u003eCase 71. Detector Switch Characterization Using MTS.\u003c\/p\u003e \u003cp\u003eCase 72. Exhaust Sensor Output Characterization Using MTS.\u003c\/p\u003e \u003cp\u003eCase 73. Defects Detection Using MTS.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eMedical Diagnosis.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCase 74. Application of Mahalanobis Distance to the Measurement of Drug Efficacy.\u003c\/p\u003e \u003cp\u003eCase 75. Use of Mahalanobis Distance in Medical Diagnosis.\u003c\/p\u003e \u003cp\u003eCase 76. Prediction of Urinary Continence Recovery Among Patients with Brain Disease Using Mahalanobis Distance.\u003c\/p\u003e \u003cp\u003eCase 77. Mahalanobis Distance Application for Health Examination and Treatment of Missing Data.\u003c\/p\u003e \u003cp\u003eCase 78. Forecasting Future Health from Existing Medical Examination Results Using MTS..\u003c\/p\u003e \u003cp\u003e\u003cb\u003eProduct.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCase 79. Character Recognition Using Mahalanobis Distance.\u003c\/p\u003e \u003cp\u003eCase 80. Printed Letter Inspection Technique Using MTS.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART V: SOFTWARE TESTING AND APPLICATION.\u003c\/b\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003eAlgorithms.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCase 81. Optimization of a Diesel Engine Software Control Strategy.\u003c\/p\u003e \u003cp\u003eCase 82. Optimizing Video Compression.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eComputer Systems.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCase 83. Robust Optimization of a Real-Time Operating System Using Parameter Design.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSoftware.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCase 84. Evaluation of Capability and Error in Programming.\u003c\/p\u003e \u003cp\u003eCase 85. Evaluation of Programmer's Ability in Software Production.\u003c\/p\u003e \u003cp\u003eCase 86. Robust Testing of Electronic Warfare Systems.\u003c\/p\u003e \u003cp\u003eCase 87. Streamlining of Debugging Software Using an Orthogonal Array.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART VI: ON-LINE QUALITY ENGINEERING.\u003c\/b\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003eOn-Line\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCase 88. Application of On-Line Quality Engineering to the Automobile Manufacturing Process.\u003c\/p\u003e \u003cp\u003eCase 89. Design of Preventive Maintenance of a Bucket Elevator Through Simultaneous Use of Periodic Maintenance and Checkup.\u003c\/p\u003e \u003cp\u003eCase 90. Feedback Control by Quality Characteristics.\u003c\/p\u003e \u003cp\u003eCase 91. Control of Mechanical Component Parts in a Manufacturing Process.\u003c\/p\u003e \u003cp\u003eCase 92. Semiconductor Rectifier Manufacturing by On-Line Quality Engineering.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART VII: MISCELLANEOUS.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eMiscellaneous.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCase 93. Estimation of Working Hours in Software Development.\u003c\/p\u003e \u003cp\u003eCase 94. Application of Linear and Nonlinear Regression Equations for Engineering.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSECTION 3. TAGUCHI'S METHODS VERSUS OTHER QUALITY PHILOSOPHIES.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter 39. Quality Management in Japan\u003c\/p\u003e \u003cp\u003eChapter 40. Deming and Taguchi's Quality Engineering. \u003c\/p\u003e \u003cp\u003eChapter 41. Enhancing Robust Design with the Aid of TRIZ and Axiomatic Design.\u003c\/p\u003e \u003cp\u003eChapter 42. Testing and Quality Engineering.\u003c\/p\u003e \u003cp\u003eChapter 43. Total Product Development and Taguchi's Quality Engineering.\u003c\/p\u003e \u003cp\u003eChapter 44. Role of Taguchi Methods in Design for Six Sigma.\u003c\/p\u003e \u003cp\u003eAppendix A: Orthogonal Array and Linear Graphs. Tools for Quality Engineering.\u003c\/p\u003e \u003cp\u003eAppendix B: Equations for On-Line Process Control. \u003c\/p\u003e \u003cp\u003eAppendix C: Orthogonal Array and Linear Graphs for Chapter 38.\u003c\/p\u003e \u003cp\u003eGlossary.\u003c\/p\u003e \u003cp\u003eBibliopgraphy.\u003c\/p\u003e \u003cp\u003eIndex.\u003c\/p\u003e \"...One can find praise for \u003ci\u003eTaguchi's Quality Engineering Handbook\u003c\/i\u003e right at the beginning of the book, where several well-known authorities express their opinions—in fact, admiration. This reviewer totally concurs. It remains to praise and congratulate the authors and the publisher for their part in bringing out this great volume of more than 1,600 pages.\" (\u003ci\u003eChoice\u003c\/i\u003e, September 2006 ) \u003cp\u003e\u003cb\u003eGENICHI TAGUCHI, DSc,\u003c\/b\u003e 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.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSUBIR CHOWDHURY, DEng,\u003c\/b\u003e 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. \u003c\/p\u003e\u003cp\u003eThe late\u003cb\u003e YUIN WU\u003c\/b\u003e 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.   \u003c\/p\u003e\u003cp\u003e\u003cb\u003e Praise for TAGUCHI’S QUALITY ENGINEERING HANDBOOK\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e“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.” \u003c\/p\u003e\u003cp\u003e\u003cb\u003e—Lou Giuliano, \u003ci\u003eChairman, President, and CEO, ITT Industries\u003c\/i\u003e\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e“Dr. Taguchi’s enduring work is of great importance to the field of quality.” \u003c\/p\u003e\u003cp\u003e\u003cb\u003e—Dr. A. V. Feigenbaum,\u003ci\u003e President and CEO, General Systems Company, Inc.\u003c\/i\u003e\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eIn the last fifty years, one man stands out as the driving force behind the quality revolution—Genichi Taguchi. Now, for the first time in one volume, \u003ci\u003eTaguchi’s Quality Engineering Handbook\u003c\/i\u003e presents all the methods and beliefs that have made Taguchi one of the most respected authorities on quality engineering and management in the world. \u003c\/p\u003e\u003cp\u003eNo 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: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eQuality loss function\u003c\/li\u003e \u003cli\u003eRobust engineering\u003c\/li\u003e \u003cli\u003eOn-line quality engineering\u003c\/li\u003e \u003cli\u003eDesign of experiments (known as the “Taguchi method”)\u003c\/li\u003e \u003cli\u003eSignal-to-noise ratio\u003c\/li\u003e \u003cli\u003eMahalanobis–Taguchi Systems (MTS)\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eTaguchi’s Quality Engineering Handbook \u003c\/i\u003eis a landmark resource for everyone interested in quality and engineering, from engineers and managers to upper-level VPs and educators.\u003c\/p\u003e","brand":"Wiley-Interscience","offers":[{"title":"Default Title","offer_id":47990127395045,"sku":"NP9780471413349","price":228.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780471413349.jpg?v=1761786617","url":"https:\/\/k12savings.com\/products\/taguchis-quality-engineering-handbook-isbn-9780471413349","provider":"K12savings","version":"1.0","type":"link"}