《系统质量管理》求取 ⇩

CHAPTER 1INTRODUCTION TO QUALITY MANAGEMENT IN SYSTEMS1

1.1 HISTORY OF QUALITY CONTROL2

1.2 THE NEED FOR STATISTICAL QUALITY CONTROL(SQC)3

1.2.1 Definition of Quality4

1.2.2 Fundamental Principles of Quality5

1.3 QUALITY THROUGH SYSTEMS ENGINEERING5

1.3.1 Definition of a System6

1.3.2 Systems Engineering Process7

1.4 MEASUREMENT PARAMETERS FOR SYSTEMS ENGINEERING AND SQC16

1.4.1 Cost16

1.4.2 Time17

1.4.3 Performance/Quality18

1.4.4 Resources18

1.5 HUMAN FACTORS AND QUALITY19

1.4.5 Business Policy19

1.4.6 Customer Satisfaction19

1.6 QUALITY SYSTEMS21

1.6.1 Deming22

1.6.2 The Malcolm Baldrige National Quality Award23

1.6.3 ISO 900024

1.7 QUALITY MANAGEMENT25

1.8 ASSIGNMENT PROBLEMS28

1.9 BIBLIOGRAPHY28

CHAPTER 2DETAILS OF QUALITY MANAGEMENT IN SYSTEMS31

2.1 INTRODUCTION31

2.2 TOTAL QUALITY MANAGEMENT AND DEMING’S 14 POINT PROGRAM32

2.2.2 Ways of Producing and Conducting Business33

2.2.1 The Way of Thinking33

2.2.3 Ways of Cultivating Employees35

2.2.4 Ways of Organizing and Managing36

2.3 THE MALCOLM BALDRIGE NATIONAL QUALITY AWARD38

2.3.1 Evaluation System39

2.3.2 Benefits42

2.3.3 Qualifications43

2.3.4 Total Quality Management43

2.4 ISO 9000 REGISTRATION43

2.5 COMPARISON OF THREE QUALITY CRITERIA:46

2.6 SUMMARY47

2.7 ASSIGNMENT PROBLEMS48

2.8 BIBLIOGRAPHY48

3.1 INTRODUCTION51

CHAPTER 3FUNDAMENTALS OF ENGINEERING STATISTICS51

3.2 PROCESS VARIATIONS52

3.3 CHARACTERIZATION OF DATA53

3.3.1 The Histogram：A Graphical Representation of the Distribution55

3.3.2 Characteristics of Data:Mean，Variance，and Standard Deviation56

3.4 PROBABILITY DISTRIBUTIONS63

3.4.1 Discrete Distributions64

3.4.2 Continuous Distributions69

3.4.3 Central Limit Theorem75

3.4.4 Linear Operator78

3.5 THE STUDENT T-DISTRIBUTION80

3.6 SUMMARY86

3.7 ASSIGNMENT PROBLEMS86

3.8 BIBLIOGRAPHY89

3.9 APPENDIX90

CHATPER 4STATISTICAL PROCESS CONTROL93

4.1 INTRODUCTION93

4.2 ASSESSMENT OF PROCESS CAPABILITY94

4.3 CONTROL CHARTS103

4.4 ACCEPTANCE SAMPLING119

4.4.1 Conflict of Interest120

4.4.2 Design of a Sampling Process121

4.4.3 The Operating Characteristic Curve122

4.5 ACCEPTANCE PLANS USING DOUBLE SAMPLING135

4.6 DODGE-ROMIG INSPECTION SYSTEM140

4.7.2 The AOQL Plan141

4.7.1 The LTPD System141

4.7 LTPD AND AOQL141

4.7.3 Computations142

4.7.4 Advantages and Disadvantages of the Dodge-Romig System146

4.8 ANSI/ASQC Z1.4-1981 CIVILIAN STANDARD147

4.8.1 Concepts147

4.8.2 Advantages and Disadvantages of the ANSI/ASQC Z1.4153

4.9 SUMMARY153

4.10 ASSIGNMENT PROBLEMS154

4.11 BIBLIOGRAPHY157

4.12 APPENDIX159

CHAPTER 5ANALYSIS OF DATA167

5.1 CONFIDENCE INTERVALS167

5.2 SIGNIFICANCE TESTS171

5.3 COMPARISON OF TWO TREATMENTS182

5.3.1 Principle of Blocking183

5.3.2 Principle of Randomization186

5.4 COMPARISON OF MORE THAN TWO TREATMENTS189

5.4.1 Analysis of Variance189

5.4.2 Latin Square Design195

5.5 ASSIGNMENT PROBLEMS198

5.6 BIBLIOGRAPHY204

5.7 APPENDIX-FDISTRIBUTION TABLES206

CHAPTER 6DESIGN OF EXPERIMENTS211

6.1 FACTORIAL DESIGN AT TWO LEVELS211

6.2 CALCULATION OF THE MAIN AND INTERACTION EFFECTS214

6.3 DERIVATION OF AN EMPIRICAL MODEL219

6.4 ERROR ESTIMATIONS221

6.4.1 Use of Replicated Runs for Error Estimation222

6.4.2 Error Estimation from Higher-Order Interactions224

6.5 FRACTIONAL FACTORIAL DESIGN AT TWO LEVELS233

6.5.1 Linear Combinations234

6.5.2 General Class of 2k-p Fractional Factorial Designs235

6.5.3 Design Generator and the Defining Relation237

6.6 ASSIGNMENT PROBLEMS240

6.7 BIBLIOGRAPHY244

CHAPTER 7MODEL BUILDING247

7.1 REGRESSION247

7.2 RESPONSE SURFACE METHOD261

7.3 ASSIGNMENT PROBLEMS284

7.4 BIBLIOGRAPHY286

INDEX288