Introduction to statistical quality control:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York, NY [u.a.]
Wiley
1996
|
| Ausgabe: | 3. ed. |
| Schlagworte: | |
| Online-Zugang: | Publisher description Table of Contents Inhaltsverzeichnis |
| Beschreibung: | 677 S. graph. Darst. |
| ISBN: | 0471303534 |
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| 245 | 1 | 0 | |a Introduction to statistical quality control |c Douglas C. Montgomery |
| 246 | 1 | 3 | |a Statistical quality control |
| 250 | |a 3. ed. | ||
| 264 | 1 | |a New York, NY [u.a.] |b Wiley |c 1996 | |
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| 650 | 4 | |a Quality control |x Statistical methods | |
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Datensatz im Suchindex
| _version_ | 1804125521123999744 |
|---|---|
| adam_text | Contents
CHAPTER 1 QUALITY IMPROVEMENT IN THE MODERN
BUSINESS ENVIRONMENT 1
1 1 The Meaning of Quality and Quality Improvement 2
1 1.1 Dimensions of Quality 2
1 1.2 Quality Engineering Terminology 6
1 2 A Brief History of Quality Methodology 8
1 3 Statistical Methods for Quality Improvement 12
1 4 Total Quality Management 17
1 4.1 Quality Philosophy 17
1 4.2 The Link Between Quality and Productivity 21
1 4.3 Quality Costs 22
1 4.4 Legal Aspects of Quality 28
1 4.5 Implementing Quality Improvement 30
PART I STATISTICAL METHODS USEFUL IN QUALITY
IMPROVEMENT ?
CHAPTER 2 MODELING PROCESS QUALITY U
2 1 Describing Variation 35
2 1.1 The Stem and Leaf Plot 35
2 1.2 The Frequency Distribution and Histogram 38
2 1.3 Numerical Summary of Data 40
2 1.4 The Box Plot 43
2 1.5 Sample Computer Output 44
2 1.6 Probability Distributions 46
2 2 Important Discrete Distributions 51
2 2.1 The Hypergeometric Distribution 51
2 2.2 The Binomial Distribution 52
2 2.3 The Poisson Distribution 55
2 2.4 The Pascal and Related Distributions 56
xii CONTENTS
2 3 Important Continuous Distributions 57
2 3.1 The Normal Distribution 57
2 3.2 The Exponential Distribution 62
2 3.3 The Gamma Distribution 65
2 3.4 The Weibull Distribution 67
2 4 Some Useful Approximations 69
2 4.1 The Binomial Approximation to the Hypergeometric 69
2 4.2 The Poisson Approximation to the Binomial 69
2 4.3 The Normal Approximation to the Binomial 70
2 4.4 Comments on Approximations 70
2 5 Exercises 71
CHAPTER 3 INFERENCES ABOUT PROCESS QUALITY 77
3 1 Statistics and Sampling Distributions 78
3 1.1 Sampling from a Normal Distribution 79
3 1.2 Sampling from a Bernoulli Distribution 83
3 1.3 Sampling from a Poisson Distribution 84
3 2 Estimation of Process Parameters 85
3 2.1 Point Estimation 85
3 2.2 Interval Estimation 86
3 3 Hypothesis Testing on Process Parameters 96
3 3.1 Tests on Means, Variance Known 97
3 3.2 The Use of P Values in Hypothesis Testing 100
3 3.3 Tests on Means of Normal Distributions, Variance
Unknown 101
3 3.4 Tests on Variances of Normal Distributions 107
3 3.5 Tests on Binomial Parameters 109
3 3.6 Tests on Poisson Parameters 110
3 3.7 Probability Plotting 113
3 3.8 The Probability of Type II Error 116
3 4 Exercises 119
PART II STATISTICAL PROCESS CONTROL 127
CHAPTER 4 METHODS AND PHILOSOPHY OF STATISTICAL
PROCESS CONTROL 129
4 1 Introduction 130
4 2 Chance and Assignable Causes of Quality Variation 130
4 3 Statistical Basis of the Control Chart 132
4 3.1 Basic Principles 132
4 3.2 Choice of Control Limits 138
4 3.3 Sample Size and Sampling Frequency 140
CONTENTS xiii
4 3.4 Rational Subgroups 143
4 3.5 Analysis of Patterns on Control Charts 146
4 3.6 Discussion of Sensitizing Rules for Control Charts 149
4 4 The Rest of the Magnificent Seven 150
4 5 Implementing SPC 158
4 6 An Application of SPC 159
4 7 Nonmanufacturing Applications of Statistical Process
Control 167
4 8 Exercises 174
CHAPTER 5 CONTROL CHARTS FOR VARIABLES 179
5 1 Introduction 180
5 2 Control Charts for x and R 181
5 2.1 Statistical Basis of the Charts 181
5 2.2 Development and Use of x and R Charts 186
5 2.3 Charts Based on Standard Values 201
5 2.4 Interpretation of x and R Charts 202
5 2.5 The Effect of Nonnormality on x and R Charts 205
5 2.6 The Operating Characteristic Function 206
5 2.7 The Average Run Length for the x Chart 209
25 3 Control Charts for x and 5 211
5 3.1 Construction and Operation of x and S Charts 212
5 3.2 The x and S Control Charts with Variable Sample
Size 217
5 3.3 The S Control Chart 221
5 4 Control Charts for Individual Measurements 221
5 5 Summary of Procedures for x, R, and S Charts 229
5 6 Applications of Variables Control Charts 230
5 7 Exercises 235
CHAPTER A CONTROL CHARTS FOR ATTRIBl IIS JSO
6 1 Introduction 251
6 2 The Control Chart for Fraction Nonconforming 251
6 2.1 Development and Operation of the Control Chart 253
6 2.2 Variable Sample Size 265
6 2.3 Nonmanufacturing Applications 270
6 2.4 The Operating Characteristic Function and Average Run
Length Calculations 271
6 3 Control Charts for Nonconformities (Defects) 275
6 3.1 Procedures with Constant Sample Size 275
6 3.2 Procedures with Variable Sample Size 285
CONTENTS XV
8 3 Group Control Charts for Multiple Stream Processes 358
8 4 Multivariate Quality Control 360
8 4.1 Monitoring of Means 362
8 4.2 Monitoring Process Variability 372
8 5 SPC with Correlated Data 374
8 6 Interfacing Statistical Process Control and Engineering Process
Control 386
8 6.1 Process Monitoring and Process Regulation 386
8 6.2 Combining SPC and EPC 395
8 7 Economic Design of Control Charts 399
8 7.1 Designing a Control Chart 399
8 7.2 Process Characteristics 399
8 7.3 Cost Parameters 400
8 7.4 Early Work and Semi Economic Design 402
8 7.5 An Economic Model of the I Control Chart 403
8 7.6 Other Work 412
8 8 Overview of Other Procedures 413
8 8.1 Tool Wear 413
8 8.2 Control Charts Based on Other Sample Statistics 414
8 8.3 Adaptive Schemes 415
8 8.4 Selecting the Optimum Target Value for a Process 417
8 8.5 Fill Control 419
8 8.6 Precontrol 419
8 9 Exercises 421
CHAPTER 9 PROCESS CAPABILITY ANALYSIS 4 30
9 1 Introduction 431
9 2 Process Capability Analysis Using a Histogram or a
Probability Plot 433
9 2.1 Using the Histogram 433
9 2.2 Probability Plotting 434
9 3 Process Capability Ratios 438
9 3.1 Use and Interpretation of PCR 438
9 3.2 Process Capability Ratio for an Off Center Process 442
9 3.3 Normality and the Process Capability Ratio 444
9 3.4 More About Process Centering 444
9 3.5 Confidence Intervals and Tests on Process Capability
Ratios 447
9 4 Process Capability Analysis Using a Control Chart 451
9 5 Process Capability Analysis Using Designed
Experiments 453
9 6 Gage and Measurement System Capability Studies 455
xvi CONTENTS
9 7 Setting Specification Limits on Discrete Components 461
9 7.1 Linear Combinations 461
9 7.2 Nonlinear Combinations 465
9 8 Estimating the Natural Tolerance Limits of a Process 467
9 8.1 Tolerance Limits Based on the Normal Distribution 468
9 8.2 Nonparametric Tolerance Limits 469
9 9 Exercises 470
PART III PROCESS DESIGN AND IMPROVEMENT
WITH DESIGNED EXPERIMENTS 475
CHAPTER 10 THE FUNDAMENTALS OF EXPERIMENTAL DESIGN 477
10 1 What is Experimental Design? 478
10 2 Examples of Designed Experiments in Quality and Process
Improvement 479
10 3 Experiments with One Factor 483
10 3.1 An Example 483
10 3.2 The Analysis of Variance 485
10 3.3 Residual Analysis 490
10 3.4 Comparison of Individual Means 491
10 3.5 Using the Computer 494
10 3.6 A Components of Variance Model 496
10 4 Blocking and Nuisance Factors 499
10 4.1 The Randomized Block Design 499
10 4.2 Residual Analysis 504
10 5 Guidelines for Designing Experiments 506
10 6 Exercises 508
CHAPTER 1 1 FACTORIAL AND FRACTIONAL FACTORIAL
EXPERIMENTS FOR PROCESS DESIGN AND
IMPROVEMENT 512
11 1 Factorial Experiments 513
11 1.1 An Example 517
11 1.2 Statistical Analysis 517
11 1.3 Residual Analysis 523
11 2 The 2* Factorial Design 525
11 2.1 The 22 Design 525
11 2.2 The 2k Design for k 3 Factors 532
11 2.3 A Single Replicate of the 2k Design 545
11 2.4 Addition of Center Points to the 2k Design 549
11 2.5 Blocking and Confounding in the 2* Design 553
CONTENTS xvii
11 3 Fractional Replication of the 2* Design 555
11 3.1 The One Half Fraction of the 2k 555
11 3.2 Smaller Fractions: The 2k p Fractional Factorial
Design 562
11 4 Exercises 569
CHAPTER 12 PROCESS OPTIMIZATION WITH DESIGNED
EXPERIMENTS 572
12 1 Response Surface Methods and Designs 573
12 1.1 The Method of Steepest Ascent 575
12 1.2 Analysis of a Second Order Response Surface 578
12 2 Evolutionary Operation 583
12 3 Taguchi s Contributions to Quality Engineering 589
12 3.1 The Taguchi Philosophy 590
12 3.2 The Taguchi Approach to Parameter Design 591
12 3.3 Improved Robust Parameter Design 600
12 4 Exercises 681
PART IV ACCEPTANCE SAMPLING 605
CHAPTER 13 LOT BY LOT ACCEPTANCE SAMPLING BY
ATTRIBUTES 606
13 1 The Acceptance Sampling Problem 607
13 1.1 Advantages and Disadvantages of Sampling 608
13 1.2 Types of Sampling Plans 609
13 1.3 Lot Formation 610
13 1.4 Random Sampling 610
13 1.5 Guidelines for Using Acceptance Sampling 611
13 2 Single Sampling Plans for Attributes 613
13 2.1 Definition of a Single Sampling Plan 613
13 2.2 The OC Curve 613
13 2.3 Designing a Single Sampling Plan with a Specified OC
Curve 619
13 2.4 Rectifying Inspection 621
13 3 Double, Multiple, and Sequential Sampling 625
13 3.1 Double Sampling Plans 625
13 3.2 Multiple Sampling Plans 632
13 3.3 Sequential Sampling Plans 632
13 4 Military Standard 105E (ANSI/ASQC Z1.4, ISO 2859) 636
13 4.1 Description of the Standard 636
xviii CONTENTS
13 4.2 Procedure 638
13 4.3 Discussion 643
13 5 The Dodge Romig Sampling Plans 645
13 5.1 AOQL Plans 646
13 5.2 LTPD Plans 648
13 5.3 Estimation of Process Average 649
13 6 Exercises 649
CHAPTER 14 OTHER ACCEPTANCE SAMPLING TECHNIQUES 652
14 1 Acceptance Sampling by Variables 653
14 1.1 Advantages and Disadvantages of Variables
Sampling 653
14 1.2 Types of Sampling Plans Available 654
14 1.3 Caution in the Use of Variables Sampling 655
14 2 Designiing a Variables Sampling Plan with a Specified OC
Curve 656
14 3 MIL STD 414 (ANSI/ASQC Z1.9) 659
14 3.1 General Description of the Standard 659
14 3.2 Use of the Tables 660
14 3.3 Discussion of MIL STD 414 and ANSI/ASQC Z 1.9 663
14 4 Other Variables Sampling Procedures 664
14 4.1 Sampling by Variables to Give Assurance Regarding the
Lot or Process Mean 664
14 4.2 Sequential Sampling by Variables 665
14 5 Chain Sampling 665
14 6 Continuous Sampling 667
14 6.1 CSP 1 668
14 6.2 Other Continuous Sampling Plans 670
14 7 Skip Lot Sampling Plans 671
14 8 Exercises 675
APPENDIX A l
I Cumulative Poisson Distribution A 3
II Cumulative Standard Normal Distribution A 6
III Percentage Points of the x2 Distribution A 8
IV Percentage Points of the t Distribution A 9
V Percentage Points of the F Distribution A 10
CONTENTS xix
VI Factors for Constructing Variables Control Charts A 15
VII Factors for Two Sided Normal Tolerance Limits A 16
VIII Factors for One Sided Normal Tolerance Limits A 17
IX Random Numbers A 18
BIBLIOGRAPHY B l
ANSWERS TO SELECTED EXERCISES ANS 1
INDEX M
|
| any_adam_object | 1 |
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| spelling | Montgomery, Douglas C. 1943- Verfasser (DE-588)12861448X aut Introduction to statistical quality control Douglas C. Montgomery Statistical quality control 3. ed. New York, NY [u.a.] Wiley 1996 677 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Kwaliteitscontrole gtt Statistische methoden gtt Process control Statistical methods Quality control Statistical methods Statistische Qualitätskontrolle (DE-588)4182962-1 gnd rswk-swf Qualitätskontrolle (DE-588)4047968-7 gnd rswk-swf 1\p (DE-588)4151278-9 Einführung gnd-content Statistische Qualitätskontrolle (DE-588)4182962-1 s DE-604 Qualitätskontrolle (DE-588)4047968-7 s 2\p DE-604 text/html http://www.loc.gov/catdir/enhancements/fy0706/95051507-d.html Publisher description Ausführliche Beschreibung text/html http://catdir.loc.gov/catdir/toc/onix01/95051507.html Table of Contents Inhaltsverzeichnis HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007386176&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Montgomery, Douglas C. 1943- Introduction to statistical quality control Kwaliteitscontrole gtt Statistische methoden gtt Process control Statistical methods Quality control Statistical methods Statistische Qualitätskontrolle (DE-588)4182962-1 gnd Qualitätskontrolle (DE-588)4047968-7 gnd |
| subject_GND | (DE-588)4182962-1 (DE-588)4047968-7 (DE-588)4151278-9 |
| title | Introduction to statistical quality control |
| title_alt | Statistical quality control |
| title_auth | Introduction to statistical quality control |
| title_exact_search | Introduction to statistical quality control |
| title_full | Introduction to statistical quality control Douglas C. Montgomery |
| title_fullStr | Introduction to statistical quality control Douglas C. Montgomery |
| title_full_unstemmed | Introduction to statistical quality control Douglas C. Montgomery |
| title_short | Introduction to statistical quality control |
| title_sort | introduction to statistical quality control |
| topic | Kwaliteitscontrole gtt Statistische methoden gtt Process control Statistical methods Quality control Statistical methods Statistische Qualitätskontrolle (DE-588)4182962-1 gnd Qualitätskontrolle (DE-588)4047968-7 gnd |
| topic_facet | Kwaliteitscontrole Statistische methoden Process control Statistical methods Quality control Statistical methods Statistische Qualitätskontrolle Qualitätskontrolle Einführung |
| url | http://www.loc.gov/catdir/enhancements/fy0706/95051507-d.html http://catdir.loc.gov/catdir/toc/onix01/95051507.html http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007386176&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT montgomerydouglasc introductiontostatisticalqualitycontrol AT montgomerydouglasc statisticalqualitycontrol |