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The Mahalanobis-Taguchi System (MTS) is a philosophy that is revolutionizing many Japanese industries. It takes an obscure statistical process - the Mahalanobis Distance - and translates it into useful application tools for a variety of industries. It provides a process for recognizing patterns that consist of a multitude of data, in the same way a computer can. This work presents 15 case studies demonstrating the use of this system in a range of situations, including: medical diagnosis; manufacturing; fire detection; weather forecasting; and automotive collision prevention systems.

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• Preface(p. xiii)
• Acknowledgments(p. xvii)
• Chapter 1 Introduction(p. 1)
• 1.1 Lives Versus Machines(p. 1)
• 1.2 What Is MTS?(p. 1)
• 1.3 Where Can MTS Be Applied?(p. 3)
• 1.4 An Important Issue(p. 7)
• Chapter 2 A Detailed Example of MTS(p. 9)
• 2.1 Clutch Disc Defects(p. 9)
• 2.2 Visual Inspection Method(p. 10)
• 2.3 Differential and Integral Characteristics(p. 12)
• 2.4 Raw Data Collection(p. 13)
• 2.5 Normalization(p. 14)
• 2.6 Matrix Construction(p. 16)
• 2.7 Mahalanobis Distance(p. 17)
• 2.8 Results of Recognition(p. 17)
• 2.9 Selection of Threshold Value(p. 19)
• 2.10 Selection of Characteristics(p. 19)
• 2.11 Confirmation(p. 21)
• Chapter 3 Business-Process Forecasting(p. 23)
• 3.1 A Problem in Business Systems(p. 23)
• 3.2 Preparation of the Database(p. 24)
• 3.3 Calculation of the Database(p. 27)
• 3.4 Mahalanobis Distance(p. 29)
• 3.5 Estimation of the Unpaid Amount and Its Estimating Error by Using the SN Ratio(p. 29)
• 3.6 Rationalization of Item Selection(p. 31)
• 3.7 Design of a Business System(p. 32)
• Section 1 Health Care(p. 33)
• Chapter 4 Diagnosis of a Special Health Check(p. 35)
• 4.1 Diagnosis of Liver Function(p. 35)
• 4.2 Selection of Characteristics(p. 41)
• 4.3 The Loss Function of Health Checkups (Determination of Threshold)(p. 43)
• Chapter 5 Application for Medical Treatment(p. 45)
• 5.1 Problems in Clinical Research(p. 45)
• 5.2 Mahalanobis Distance and Treatment Effect(p. 45)
• 5.3 The Study Using One Patient(p. 46)
• 5.4 Comparison of Treatment Methods(p. 50)
• Section 2 Mechanical Industry(p. 53)
• Chapter 6 Wafer Yield Prediction(p. 55)
• 6.1 Objective(p. 55)
• 6.2 Base Space(p. 55)
• 6.3 Relationship between Mahalanobis Distance and Yield(p. 56)
• 6.4 Selection of Characteristics(p. 57)
• Chapter 7 Inkjet Quality Inspection(p. 63)
• 7.1 Introduction(p. 63)
• 7.2 Camera Inspection System(p. 65)
• 7.3 Mahalanobis Distance Results(p. 67)
• 7.4 Measurement System Cost Reduction(p. 70)
• 7.5 Conclusions(p. 72)
• Chapter 8 Prevention of Driving Accidents(p. 75)
• 8.1 Introduction(p. 75)
• 8.2 Measuring System(p. 75)
• 8.3 Base Space(p. 76)
• 8.4 Base Data Collection(p. 77)
• 8.5 Base Space Construction and Mahalanobis Distance Distribution(p. 78)
• 8.6 Mahalanobis Distance Under Dangerous Situations(p. 80)
• 8.7 Evaluation of Functionality(p. 83)
• 8.8 Conclusion(p. 85)
• Section 3 Electrical Industry(p. 89)
• Chapter 9 Solder Joint Appearance Inspection(p. 91)
• 9.1 Introduction(p. 91)
• 9.2 Data Collection and Mahalanobis Distance Calculation(p. 92)
• 9.3 Mahalanobis Distance Using Inspection-Logic Characteristics(p. 94)
• 9.4 Mahalanobis Distance Using Reflection Characteristics(p. 96)
• Chapter 10 Fire Alarm System Optimization(p. 99)
• 10.1 Introduction(p. 99)
• 10.2 Data Collection(p. 100)
• 10.3 Calculation of Mahalanobis Space(p. 103)
• 10.4 Calculation of Mahalanobis Distance(p. 106)
• 10.5 Selection of Sensors(p. 110)
• Section 4 The Chemical Industry(p. 115)
• Chapter 11 Diagnosis of Photographic-Processing Solution(p. 117)
• 11.1 Introduction(p. 117)
• 11.2 Processing of Photo-Sensitive Materials(p. 117)
• 11.3 Selection of the Base Space(p. 118)
• 11.4 Mahalanobis Distance of Rejected Solutions and Their Photographic Quality(p. 119)
• 11.5 Factorial Effects(p. 121)
• 11.6 Discussions(p. 121)
• Chapter 12 Pattern Recognition for Infrared Absorption Spectrum Analysis(p. 125)
• 12.1 Introduction(p. 125)
• 12.2 Experiment(p. 126)
• 12.3 Selection of Characteristics(p. 126)
• 12.4 Results(p. 128)
• Section 5 Space Industry(p. 131)
• Chapter 13 Fault Analysis(p. 133)
• 13.1 Introduction(p. 133)
• 13.2 Outline of the Fault Diagnosis Program (FDP)(p. 134)
• 13.3 Observer and Residual(p. 135)
• 13.4 Process of Fault Diagnosis by Using Residuals(p. 137)
• 13.5 Collection of Normal Data(p. 137)
• 13.6 The Standard Space of a Normal Group(p. 138)
• 13.7 Fault Detection by Mahalanobis Distance(p. 139)
• 13.8 Fault Identification by Mahalanobis Distance(p. 140)
• 13.9 Fault Identification by Estimation Errors(p. 142)
• Section 6 Software Industry(p. 147)
• Chapter 14 Valuation of a Programmer's Capability(p. 149)
• 14.1 Introduction(p. 149)
• 14.2 Data Collection(p. 150)
• 14.3 The MTS Method(p. 150)
• 14.4 Analysis(p. 152)
• 14.5 Factor Reduction(p. 154)
• 14.6 Effective Factors(p. 158)
• 14.7 Results(p. 160)
• Chapter 15 Handwriting Recognition(p. 163)
• 15.1 Introduction(p. 163)
• 15.2 Extraction of Character Elements(p. 165)
• 15.3 Procedures of Character Recognition(p. 166)
• 15.4 Calculation of Mahalanobis Distance(p. 167)
• 15.5 Hand-Written Character Recognition(p. 170)
• Section 7 Government(p. 173)
• Chapter 16 U.S. Dollar Bill Inspection(p. 175)
• 16.1 Patterns of U.S. Dollar Bills(p. 175)
• 16.2 Characteristics of One-Dollar Bills(p. 178)
• 16.3 Differentiation of One-Dollar Bills(p. 179)
• Index(p. 183)