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Introduction to statistical quality control

Introduction to statistical quality control (6회 대출)

자료유형
단행본
개인저자
Montgomery, Douglas C.
서명 / 저자사항
Introduction to statistical quality control / Douglas C. Montgomery.
발행사항
New York :   Wiley,   c1985.  
형태사항
xviii, 520 p. : ill. ; 24 cm.
ISBN
0471808709 0471829803
일반주기
Includes index.  
서지주기
Bibliography: p. 489-496.
일반주제명
Quality control --Statistical methods. Process control --Statistical methods.
비통제주제어
Quality control, Statistical methods,,
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245 1 0 ▼a Introduction to statistical quality control / ▼c Douglas C. Montgomery.
260 ▼a New York : ▼b Wiley, ▼c c1985.
300 ▼a xviii, 520 p. : ▼b ill. ; ▼c 24 cm.
500 ▼a Includes index.
504 ▼a Bibliography: p. 489-496.
650 0 ▼a Quality control ▼x Statistical methods.
650 0 ▼a Process control ▼x Statistical methods.
653 ▼a Quality control ▼a Statistical methods
740 0 1 ▼a Statistical quality control.

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목차

CONTENTS
1 Quality Assurance in the Modern Business Environment = 1
  1-1 THE MEANING OF QUALITY = 1
  1-2 QUALITY ASSURANCE, TECHNOLOGY, AND PRODUCTIVITY = 3
  1-3 QUALITY COSTS = 5
  1-4 METHODS OF QUALITY ASSURANCE = 11
  1-5 THE RESPONSIBILITY FOR QUALITY = 15
  1-6 LEGAL ASPECTS = 17
  1-7 SUMMARY = 19
PART Ⅰ STATISTICAL METHODS USEFUL IN QUALITY ASSURANCE = 21
  2 Modeling Process Quality = 23
    2-1 DESCRIBING VARIATION = 23
      2-1.1 The Frequency Distribution and Histogram = 23
      2-1.2 Numerical Summary of Data = 26
      2-1.3 Probability Distributions = 28
    2-2 IMPORTANT DISCRETE DISTRIBUTIONS = 33
      2-2.1 The Hypergeometric Distribution = 33
      2-2.2 The Binomial Distribution = 34
      2-2.3 The Poisson Distribution = 36
      2-2.4 The Pascal and Related Distributions = 37
    2-3 IMPORTANT CONTINUOUS DISTRIBUTIONS = 38
      2-3.1 The Normal Distribution = 38
      2-3.2 The Exponential Distribution = 44
      2-3.3 The Gamma Distribution = 46
      2-3.4 The Weibull Distribution = 47
    2-4 SOME USEFUL APPROXIMATIONS = 49
      2-4.1 The Binomial Approximation to the Hypergeometric = 49
      2-4.2 The Poisson Approximation to the Binomial = 50
      2-4.3 The Normal Approximation to the Binomial = 50
      2-4.4 Comments on Approximations = 51
    2-5 EXERCISES = 52
  3 Inferences About Process Ouality = 57
    3-1 STATISTICS AND SAMPLING DISTRIBUTIONS = 58
      3-1.1 Sampling from a Normal Distribution = 59
      3-1.2 Sampling from a Bernoulli Distribution = 62
      3-1.3 Sampling from a Poisson Distribution = 63
    3-2 ESTIMATING PROCESS PARAMETERS = 64
      3-2.1 Point Estimation = 65
      3-2.2 Interval Estimation = 66
    3-3 HYPOTHESIS TESTING ON PROCESS PARAMETERS = 75
      3-3.1 Tests on Means, Variance Known = 77
      3-3.2 Tests on Means of Normal Distributions, Variance Unknown = 79
      3-3.3 Tests on Variances of Normal Distributions = 83
      3-3.4 Tests on Binomial Parameters = 85
      3-3.5 Tests on Poisson Parameters = 87
      3-3.6 The Probability of Type Ⅱ Error = 89
    3-4 EXERCISES = 92
PART Ⅱ STATISTICAL PROCESS CONTROL = 99
  4 How the Control Chart Works = 101
    4-1 CHANCE AND ASSIGNABLE CAUSES OF QUALITY VARIATION = 101
    4-2 STATISTICAL BASIS OF THE CONTROL CHART = 102
      4-2.1 Basic Principles = 102
      4-2.2 Choice of Control Limits = 108
      4-2.3 Sample Size and Sampling Frequency = 110
    4-3 RATIONAL SUBGROUPS = 111
    4-4 ANALYSIS OF PATTERNS ON CONTROL CHARTS = 112
    4-5 NONMANUFACTURING APPLICATIONS OF CONTROL CHARTS = 115
    4-6 EXERCISES = 116
  5 Control Charts for Attributes = 119
    5-1 INTRODUCTION = 119
    5-2 THE CONTROL CHART FOR FRACTION NONCONFORMING = 119
      5-2.1 Development and Operation of the Control Chart = 121
      5-2.2 Variable Sample Size = 133
      5-2.3 The Operating-Characteristic Function = 139
    5-3 CONTROL CHARTS FOR NONCONFORMITIES(DEFECTS) = 141
      5-3.1 Procedures with Constant Sample Size = 142
      5-3.2 Procedures with Variable Sample Size = 153
      5-3.3 Demerit Systems = 155
      5-3.4 The Operating-Characteristic Function = 156
    5-4 EXERCISES = 158
  6 Control Charts for Variables = 171
    6-1 INTRODUCTION = 171
    6-2 CONTROL CHARTS FOR x ? AND R = 173
      6-2.1 Statistical Basis of the Charts = 173
      6-2.2 Development and Use of x ? and R Charts = 176
      6-2.3 Charts Based on Standard Values = 188
      6-2.4 Interpretation of x ? and R Charts = 189
      6-2.5 The Effect of Nonnormality on x ? and R Charts = 192
      6-2.6 The Operating-Characteristic Function = 193
    6-3 OTHER CONTROL CHARTS FOR VARIABLES = 197
      6-3.1 x ? and S Control Charts = 197
      6-3.2 The S²Control Chart = 199
      6-3.3 Control Charts for Individual Units = 200
      6-3.4 Control Limits Based on a Small Number of Samples = 202
    6-4 CHOICE BETWEEN ATTRIBUTES AND VARIABLES CONTROL CHARTS = 203
    6-5 SUMMARY OF PROCEDURES FOR x ? , R, AND S CHARTS = 205
    6-6 GUIDELINES FOR IMPLEMENTING CONTROL CHART PROGRAMS = 206
    6-7 EXERCISES = 209
  7 Other Statistical Process-Control Techniques = 221
    7-1 MODIFIED CONTROL CHARTS = 221
      7-1.1 Basic Principles = 221
      7-1.2 Alternative Designs for the Modified Control Chart = 224
    7-2 THE CUMULATIVE-SUM CONTROL CHART = 225
      7-2.1 Basic Principles = 225
      7-2.2 Designing a Cumulative-Sum Control Chart = 229
      7-2.3 Related Procedures = 230
    7-3 CONTROL CHARTS BASED ON WEIGHTED AVERAGES = 235
      7-3.1 The Moving-Average Control Chart = 235
      7-3.2 The Geometric Moving-Average(GMA) Control Chart = 239
    7-4 PRE-CONTROL = 243
    7-5 METHODS FOR CONTROLLING SEVERAL RELATED QUALITY CHARACTERISTICS = 245
    7-6 STATISTICAL ALTERNATIVES TO CONTROL CHARTS = 252
    7-7 EVOLUTIONARY OPERATION = 253
    7-8 OVERVIEW OF OTHER PROCEDURES = 260
    7-9 EXERCISES = 265
  8 Process-Capability Analysis = 273
    8-1 INTRODUCTION = 273
    8-2 PROCESS-CAPABILITY ANALYSIS USING A HISTOGRAM OR A PROBABILITY PLOT = 275
      8-2.1 Using the Histogram = 275
      8-2.2 Probability Plotting = 280
    8-3 PROCESS-CAPABILITY ANALYSIS USING A CONTROL CHART = 285
    8-4 PROCESS-CAPABILITY ANALYSIS USING DESIGNED EXPERIMENTS = 288
    8-5 SETTING SPECIFICATION LIMITS ON DISCRETE COMPONENTS = 293
      8-5.1 Linear Combinations = 293
      8-5.2 Nonlinear Combinations = 297
    8-6 ESTIMATING THE NATURAL TOLERANCE LIMITS OF A PROCESS = 300
      8-6.1 Tolerance Limits Based on the Normal Distribution = 300
      8-6.2 Nonparametric Tolerance Limits = 301
    8-7 EXERCISES = 302
  9 Economic Design of Control Charts = 307
    9-1 INTRODUCTION = 307
      9-1.1 Process Characteristics = 308
      9-1.2 Cost Parameters = 309
      9-1.3 Early Work and Semieconomic Designs = 310
    9-2 ECONOMIC DESIGN OF THE x ? CONTROL CHART = 312
      9-2.1 Single Assignable-Cause Models = 312
      9-2.2 Multiple Assignable-Cause Models = 324
      9-2.3 Joint Economic Design of x ? and R Control Charts = 332
    9-3 ECONOMIC DESIGN OF THE CONTROL CHART FOR FRACTION NONCONFORMING = 333
    9-4 ECONOMIC DESIGN OF OTHER CONTROL CHARTS = 336
    9-5 SUMMARY = 338
    APPENDIX 9A A COMPUTER PROGRAM FOR THE ECONOMIC DESIGN OF THE x ? CONTROL CHART = 341
    9-6 EXERCISES = 343
PART Ⅲ ACCEPTANCE SAMPLING = 349
  10 Lot-By-Lot Acceptance Sampling for Attributes = 351
    10-1 THE ACCEPTANCE-SAMPLING PROBLEM = 351
      10-1.1 Advantages and Disadvantages of Sampling = 353
      10-1.2 Types of Sampling Plans = 354
      10-1.3 Lot Formation = 354
      10-1.4 Random Sampling = 355
      10-1.5 Guidelines for Using Acceptance Sampling = 356
    10-2 SINGLE-SAMPLING PLANS FOR ATTRIBUTES = 358
      10-2.1 Definition of a Single-Sampling Plan = 358
      10-2.2 The OC Curve = 359
      10-2.3 Designing a Single-Sampling Plan with a Specified OC Curve = 366
      10-2.4 Rectifying Inspection = 367
    10-3 DOUBLE, MULTIPLE, AND SEQUENTIAL SAMPLING = 373
      10-3.1 Double-Sampling Plans = 373
      10-3.2 Multiple-Sampling Plans = 382
      10-3.3 Sequential-Sampling Plans = 383
    10-4 A LOT-SENSITIVE COMPLIANCE(LTPD) SAMPLING PLAN = 387
    10-5 MILITARY STANDARD 105D(ANSI/ASQC Zl.4) = 389
      10-5.1 Description of the Standard = 389
      10-5.2 Procedure = 392
      10-5.3 Discussion = 408
    10-6 DODGE-ROMIG SAMPLING PLANS = 413
      10-6.1 LTPD Plans = 414
      10-6.2 AOQL Plans = 420
      10-6.3 Estimation of Process Average = 426
    10-7 EXERCISES = 426
  11 Acceptance Sampling by Variables = 431
    11-1 INTRODUCTION TO VARIABLES SAMPLING = 431
      11-1.1 Advantages and Disadvantages of Variables Sampling = 431
      11-1.2 Types of Sampling Plans Available = 432
      11-1.3 Caution in the Use of Variables Sampling = 434
    11-2 DESIGNING A VARIABLES SAMPLING PLAN WITH A SPECIFIED OC CURVE = 435
    11-3 MIL STD 414(ANSI/ASQC Zl.9) = 439
      11-3.1 General Description of the Standard = 439
      11-3.2 Use of the Tables = 440
      11-3.3 Discussion of MIL STD 414 and ANSI/ASQC Z1.9 = 453
    11-4 OTHER VARIABLES SAMPLING PROCEDURES = 455
      11-4.1 Sampling by Variables to Give Assurance Regarding the Lot or Process Mean = 455
      11-4.2 Sequential Sampling by Variables = 456
      11-4.3 The Lot-Plot Method = 456
      11-4.4 Narrow-Limit Gaging = 457
    11-5 EXERCISES = 458
  12 Other Acceptance-Sampling Procedures = 461
    12-1 CHAIN SAMPLING = 461
    12-2 CONTINUOUS SAMPLING = 463
      12-2.1 CSP-1 = 464
      12-2.2 CSP-2, CSP-3, and Multilevel Plans = 468
      12-2.3 MIL STD 1235B = 470
    12-3 SKIP-LOT SAMPLING PLANS = 473
    12-4 CONSIDERATION OF INSPECTION ERROR = 477
    12-5 ECONOMIC DESIGN OF ACCEPTANCE-SAMPLING PLANS = 481
    12-6 EXERCISES = 485
BIBLIOGRAPHY = 489
APPENDIX = 497
  Ⅰ Cumulative Poisson Distribution = 498
  Ⅱ Cumulative Standard Normal Distribution = 501
  Ⅲ Percentage Points of the x²Distribution = 503
  Ⅳ Percentage Points of the t Distribution = 504
  Ⅴ Percentage Points of the F Distribution = 505
  Ⅵ Factors for Constructing Variables Control Charts = 510
  Ⅶ Factors for Two-Sided Normal Tolerance Limits = 511
  Ⅷ Factors for One-Sided Normal Tolerance Limits = 512
  Ⅸ Random Numbers = 513
Index = 515

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