系统质量管理

    CHAPTER1
   INTRODUCTION TO QUALITY MANAGEMENT IN SYSTEMS
    1.1 HlSTORY OF QUALITY CONTROL
    1.2 THE NEED FOR STATISTICAL QUALITY CONTROL (SQC)
    1.2.1 Definition of Quality
    1.2.2 Fundamental Principles of Quality
    1.3 QUALITY THROUGH SYSTEMS ENGINEERING
    1.3.1 Definition of a S ystem
    1.3.2 Systems Engineering Process
    1.4 MEASUREMENT PARAMETERS FOR SYSTEMS ENGINEERING AND SQC
    1.4.1 Cost
    1.4.2 Time
    1.4.3 Performance/Quality
    1.4.4 Resources
    1.4.5 Business Policy
    1.4.6 Customer Satisfaction
    1.5 HUMAN FACTORS AND QUALITY
    1.6 QUALITY SYSTEMS
    1.6.1 Deming
    1.6.2 The Malcolm Baldrige National Quality Award
    1.6.3 ISO9000
    1.7 QUALITY MANAGEMENT
    1.8 ASSIGNMENT PROBLEMS
    1.9 BlBLIOGRAPHY
   CHAPTER 2
    DETAILS OF QUALITY MANAGEMENT IN SYSTEMS
    2.1 INTRODUCTION
    2.2 TOTAL QUALITY MANAGEMENT AND DEMING'S 14 POINT PROGRAM
    2.2.1 TheWayofThinking
    2.2.2 Ways of Producing and Conducting Business
    2.2.3 Ways of Cultivating Employees
    2.2.4 Ways of Organizing and Managing
    2.3 THE MALCOLM BALDRIGE NATIONAL QUALITY AWARD
    2.3.1 Evaluation System
    2.3.2 Benefits
    2.3.3 Qualifications
    2.3.4 Total Quality Management
    2.4 ISO 9000 REGISTRATION
    2.5 COMPARISON OF THREE QUALITY CRITERIA
    2.6 SUMMARY
    2.7 ASSIGNMENT PROBLEMS
    2.8 BlBLIOGRAPHY
   CHAPTER 3
    FUNDAMENTALS OF ENGINEERING STATISTICS
    3.1 INTRODUCTION
    3.2 PROCESS VARIATIONS
    3.3 CHARACTERIZATION OF DATA
    3.3.1 The Histogram: A Graphical Representation of the Distribution
    3.3.2 Characteristics ofData: Mean, Variance, and Standard Deviation
    3.4 PROBABILITY DlSTRIBUTIONS
    3.4.1 Discrete Distributions
    3.4.2 Continuous Distributions
    3.4.3 Central Limit Theorem
    3.4.4 Linear Operator
    3.5 THE STUDENT T-DlSTRIBUTION
    3.6 SUMMARY
    3.7 ASSIGNMENT PROBLEMS
    3.8 BlBLIOGRAPHY
    3.9 APPENDIX
   CHATPER 4
    STATISTICAL PROCESS CONTROL
    4.1 INTRODUCTION
    4.2 ASSESSMENT OF PROCESS CAPABILITY
    4.3 CONTROL CHARTS
    4.4 ACCEPTANCE SAMPLING
    4.4.1 Conflict of Interest
    4.4.2 Design of a Sampling Process
    4.4.3 The Operating Characteristic Curve
    4.5 ACCEPTANCE PLANS USING DOUBLE SAMPLING
    4.6 DODGE-ROMIG INSPECTION SYSTEM
    4.7 LTPDANDAOQL
    4.7.1 The LTPD System
    4.7.2 TheAOQLPlan
    4.7.3 Computations
    4.7.4 Advantages and Disadvantages of the Dodge-Romig System
    4.8 ANSI/ASQC Z1.4-1981 CIVILIAN STANDARD
    4.8.1 Concepts
    4.8.2 Advantages and Disadvantages of the ANSI/ASQC Zl .4
    4.9 SUMMARY
    4.10 ASSIGNMENT PROBLEMS
    4.11 BlBLIOGRAPHY
    4.12 APPENDIX
   CHAPTER 5
    ANALYSIS OF DATA
    5.1 CONFIDENCE INTERVALS
    5.2 SlGNICANCE TESTS
    5.3 COMPARISON OF TWO TREATMENTS
    5.3.1 Principle ofBlocking
    5.3.2 Principle of Randomization
    5.4 COMPARISON OF MORE THAN TWO TREATMENTS
    5.4.1 Analysis of Variance
    5.4.2 Latin Square Design
    5.5 ASSIGNMENT PROBLEMS
    5.6 BIBLIOGRAPHY
    APPENDIX - F DISTRUTION TABLES
   CHAPTER 6
    DESIGN OF EXPERIMENTS
    6.1 FACTORIAL DESIGN AT TWO LEVELS
    6.2 CALCULATION OF THE MAIN AND INTERACTION EFFECTS
    6.3 DERIVATION OF AN EMPIRICAL MODEL
    6.4 ERROR ESTIMATIONS
    6.4.1 Use of Replicated Runs for Error Estimation
    6.4.2 Error Estimation from Higher-Order Interactions
    6.5 FRACTIONAL FACTORIAL DESIGN AT Two LEVELS
    6.5.1 Linear Combinations
    6.5.2 General Class of 2k-p Fractional Factorial Designs
    6.5.3 Design Generator and the Defining Relation
    6.6 ASSIGNMENT PROBLEMS
    6.7 BlBLIOGRAPHY
   CHAPTER 7
    MODEL BUILDING
    7.1 REGRESSION
    7.2 RESPONSE SURFACE METHOD
    7.3 ASSIGNMENT PROBLEMS
    7.4 BlBLIOGRAPHY