Introduction to statistical quality control:
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
New York u.a.
Wiley
2001
|
| Edition: | 4. ed. |
| Subjects: | |
| Online Access: | Publisher description Table of Contents Inhaltsverzeichnis |
| Physical Description: | XIX, 796 S. graph. Darst. |
| ISBN: | 0471316482 |
Staff View
MARC
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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 4. ed. | ||
| 264 | 1 | |a New York u.a. |b Wiley |c 2001 | |
| 300 | |a XIX, 796 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 7 | |a Qualité - Contrôle - Méthodes statistiques |2 ram | |
| 650 | 4 | |a Quality control -- Statistical methods | |
| 650 | 4 | |a Process control -- Statistical methods | |
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Record in the Search Index
| _version_ | 1804128201124872192 |
|---|---|
| adam_text | 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 Control and
Improvement 8
1 3 Statistical Methods for Quality Control and
Improvement 12
1 4 Other Aspects of Quality Control and
Improvement 17
1 4.1 Quality Philosophy and Management
Strategies 18
1 4.2 The Link between Quality and
Productivity 25
1 4.3 Quality Costs 26
1 4.4 Legal Aspects of Quality 32
1 4.5 Implementing Quality Improvement 34
PART I
Statistical Methods Useful in Quality
Improvement 37
CHAPTER 2
Modeling Process Quality 39
2 1 Describing Variation 40
2 1.1 The Stem and Leaf Plot 40
2 1.2 The Frequency Distribution and
Histogram 43
2 1.3 Numerical Summary of Data 45
2 1.4 The Box Plot 48
2 1.5 Sample Computer Output 49
2 1.6 Probability Distributions 51
2 2 Important Discrete Distributions 56
2 2.1 The Hypergeometric Distribution 56
2 2.2 The Binomial Distribution 58
2 2.3 The Poisson Distribution 60
2 2.4 The Pascal and Related
Distributions 61
2 3 Important Continuous Distributions 62
2 3.1 The Normal Distribution 63
2 3.2 The Exponential Distribution 69
2 3.3 The Gamma Distribution 71
2 3.4 The Weibull Distribution 73
2 4 Some Useful Approximations 74
2 4.1 The Binomial Approximation to the
Hypergeometric 75
2 4.2 The Poisson Approximation to the
Binomial 75
2 4.3 The Normal Approximation to the
Binomial 75
2 4.4 Comments on Approximations 76
2 5 Exercises 77
CHAPTER 3
Inferences about Process Quality 82
3 1 Statistics and Sampling Distributions 83
3 1.1 Sampling from a Normal
Distribution 85
xiii
xiv CONTENTS
3 1.2 Sampling from a Bernoulli
Distribution 89
3 1.3 Sampling from a Poisson
Distribution 89
3 2 Point Estimation of Process
Parameters 90
3 3 Statistical Inference for a Single
Sample 93
3 3.1 Inference on the Mean of a
Population, Variance
Known 94
3 3.2 The Use of P Values for
Hypothesis Testing 98
3 3.3 Inference on the Mean of a
Normal Distribution,
Variance Unknown 99
3 3.4 Inference on the Variance of a
Normal Distribution 103
3 3.5 Inference on a Population
Proportion 105
3 3.6 The Probability of Type II
Error 107
3 3.7 Probability Plotting 110
3 4 Statistical Inference for Two
Samples 114
3 4.1 Inference for a Difference in Means,
Variances Known 114
3 4.2 Inference for a Difference in
Means of Two Normal
Distributions, Variances
Unknown 117
3 4.3 Inference on the Variances of
Two Normal Distributions 127
3 4.4 Inference on Two Population
Proportions 128
3 5 What If There Are More Than Two Populations?
The Analysis of Variance 130
3 5.1 An Example 131
3 5.2 The Analysis of Variance 133
3 5.3 Checking Assumptions:
Residual Analysis 140
3 6 Exercises 142
PART II
Basic Methods of Statistical Process Control
and Capability Analysis 151
CHAPTER 4
Methods and Philosophy of Statistical Process
Control 153
4 1 Introduction 154
4 2 Chance and Assignable Causes of Quality
Variation 154
4 3 Statistical Basis of the Control Chart 156
4 3.1 Basic Principles 156
4 3.2 Choice of Control Limits 164
4 3.3 Sample Size and Sampling
Frequency 166
4 3.4 Rational Subgroups 170
4 3.5 Analysis of Patterns on Control
Charts 172
4 3.6 Discussion of Sensitizing Rules for
Control Charts 175
4 4 The Rest of the Magnificent Seven 177
4 5 Implementing SPC 184
4 6 An Application of SPC 186
4 7 Nonmanufacturing Applications of Statistical
Process Control 193
4 8 Exercises 201
CHAPTER 5
Control Charts for Variables 206
5 1 Introduction 207
5 2 Control Charts for x and R 207
5 2.1 Statistical Basis of the Charts 207
5 2.2 Development and Use of x and R
Charts 212
5 2.3 Charts Based on Standard
Values 228
5 2.4 Interpretation of x and /{Charts 229
5 2.5 The Effect of Nonnormality on 3c and R
Charts 232
5 2.6 The Operating Characteristic
Function 233
5 2.7 The Average Run Length for the x
Chart 236
5 3 Control Charts for x and S 239
5 3.1 Construction and Operation of x and S
Charts 239
5 3.2 The x and S Control Charts with Variable
Sample Size 244
5 3.3 The 52 Control Chart 248
5 4 The Shewhart Control Chart for Individual
Measurements 249
5 5 Summary of Procedures for x, R, and S
Charts 260
5 6 Applications of Variables Control
Charts 260
5 7 Exercises 265
CHAPTER 6
Control Charts for Attributes 283
6 1 Introduction 284
6 2 The Control Chart for Fraction
Nonconforming 284
6 2.1 Development and Operation of the
Control Chart 286
6 2.2 Variable Sample Size 298
6 2.3 Nonmanufacturing Applications 303
6 2.4 The Operating Characteristic
Function and Average Run Length
Calculations 305
6 3 Control Charts for Nonconformities
(Defects) 308
6 3.1 Procedures with Constant Sample
Size 308
6 3.2 Procedures with Variable Sample
Size 319
6 3.3 Demerit Systems 322
6 3.4 The Operating Characteristic
Function 324
6 3.5 Dealing with Low Defect
Levels 325
6 3.6 Nonmanufacturing
Applications 328
6 4 Choice between Attributes and Variables Control
Charts 329
CONTENTS XV
6 5 Guidelines for Implementing Control
Charts 333
6 6 Exercises 339
CHAPTER 7
Process and Measurement System
Capability Analysis 349
7 1 Introduction 350
7 2 Process Capability Analysis Using a Histogram
or a Probability Plot 352
7 2.1 Using the Histogram 352
7 2.2 Probability Plotting 355
7 3 Process Capability Ratios 357
7 3.1 Use and Interpretation of Cp 357
7 3.2 Process Capability Ratio for an
Off Center Process 362
7 3.3 Normality and the Process Capability
Ratio 364
7 3.4 More about Process
Centering 365
7 3.5 Confidence Intervals and Tests on Process
Capability Ratios 367
7 4 Process Capability Analysis Using a Control
Chart 373
7 5 Process Capability Analysis Using Designed
Experiments 376
7 6 Gage and Measurement System Capability
Studies 377
7 6.1 Control Charts and Tabular
Methods 377
7 6.2 Methods Based on Analysis of
Variance 384
7 7 Setting Specification Limits on Discrete
Components 388
7 7.1 Linear Combinations 388
7 7.2 Nonlinear Combinations 392
7 8 Estimating the Natural Tolerance Limits of a
Process 394
7 8.1 Tolerance Limits Based on the Normal
Distribution 395
7 8.2 Nonparametric Tolerance
Limits 396
7 9 Exercises 397
xvi CONTENTS
PART III
Other Statistical Process Monitoring and
Control Techniques 403
CHAPTER 8
Cumulative Sum and Exponentially Weighted
Moving Average Control Charts 405
8 1 The Cumulative Sum Control Chart 406
8 1.1 Basic Principles: The Cusum Control
Chart for Monitoring the Process
Mean 406
8 1.2 The Tabular or Algorithmic
Cusum for Monitoring the
Process Mean 410
8 1.3 Recommendations for Cusum
Design 415
8 1.4 The Standardized Cusum 417
8 1.5 Rational Subgroups 418
8 1.6 Improving Cusum Responsiveness for
Large Shifts 418
8 1.7 The Fast Initial Response or Headstart
Feature 419
8 1.8 One Sided Cusums 421
8 1.9 A Cusum for Monitoring Process
Variability 421
8 1.10 Cusums for Other Sample
Statistics 422
8 1.11 The V Mask Procedure 423
8 2 The Exponentially Weighted Moving Average
Control Chart 425
8 2.1 The Exponentially Weighted
Moving Average Control Chart
for Monitoring the Process
Mean 426
8 2.2 Design of an EWMA Control
Chart 431
8 2.3 Rational Subgroups 432
8 2.4 Robustness of the EWMA to
Nonnormality 432
8 2.5 Extensions of the EWMA 433
8 3 The Moving Average Control
Chart 437
8 4 Exercises 440
CHAPTER 9
Other Univariate Statistical Process
Monitoring and Control Techniques 443
9 1 Statistical Process Control for Short Production
Runs 444
9 1.1 x and R Charts for Short Production
Runs 444
9 1.2 Attributes Control Charts for Short
Production Runs 447
9 1.3 Other Methods 448
9 2 Modified and Acceptance Control
Charts 449
9 2.1 Modified Control Limits for the x
Chart 449
9 2.2 Acceptance Control Charts 453
9 3 Control Charts for Multiple Stream
Processes 454
9 3.1 Multiple Stream Processes 454
9 3.2 Group Control Charts 455
9 3.3 Other Approaches 457
9 4 SPC with Autocorrelated Process
Data 458
9 4.1 Sources and Effects of
Autocorrelation in Process
Data 458
9 4.2 Model Based Approaches 462
9 4.3 A Model Free Approach 473
9 5 Adaptive Sampling Procedures 478
9 6 Economic Design of Control
Charts 479
9 6.1 Designing a Control Chart 479
9 6.2 Process Characteristics 480
9 6.3 Cost Parameters 481
9 6.4 Early Work and Semieconomic
Designs 482
9 6.5 An Economic Model of the x Control
Chart 484
9 6.6 Other Work 493
9 7 Overview of Other Procedures 494
9 7.1 Tool Wear 494
9 7.2 Control Charts Based on Other Sample
Statistics 495
9 7.3 Fill Control Problems 496
9 7.4 Precontrol 497
9 8 Exercises 499
CHAPTER 10
Multivariate Process Monitoring and
Control 507
10 1 The Multivariate Quality Control
Problem 508
10 2 Description of Multivariate Data 510
10 2.1 The Multivariate Normal
Distribution 510
10 2.2 The Sample Mean Vector and Covariance
Matrix 511
10 3 The Hotelling T2 Control Chart 512
10 3.1 Subgrouped Data 512
10 3.2 Individual Observations 522
10 4 The Multivariate EWMA Control
Chart 526
10 5 Regression Adjustment 530
10 6 Control Charts for Monitoring
Variability 532
10 7 Latent Structure Methods 535
10 7.1 Principal Components 535
10 7.2 Partial Least Squares 542
10 8 Exercises 542
CHAPTER 11
Engineering Process Control and SPC 546
11 1 Process Monitoring and Process
Regulation 547
11 2 Process Control by Feedback
Adjustment 548
11 2.1 A Simple Adjustment Scheme: Integral
Control 548
11 2.2 The Adjustment Chart 555
11 2.3 Variations of the Adjustment
Chart 557
11 2.4 Other Types of Feedback
Controllers 561
11 3 Combining SPC and EPC 562
11 4 Exercises 566
CONTENTS xvii
PART IV
Process Design and Improvement with
Designed Experiments 569
CHAPTER 12
Factorial and Fractional Factorial Experiments
for Process Design and Improvement 571
12 1 What Is Experimental Design? 572
12 2 Examples of Designed Experiments in Process
Improvement 573
12 3 Guidelines for Designing Experiments 577
12 4 Factorial Experiments 579
12 4.1 An Example 582
12 4.2 Statistical Analysis 583
12 4.3 Residual Analysis 588
12 5 The 2* Factorial Design 591
12 5.1 The 22 Design 591
12 5.2 The 2k Design for k 3 Factors 598
12 5.3 A Single Replicate of the 2*
Design 611
12 5.4 Addition of Center Points to the
2* Design 615
12 5.5 Blocking and Confounding in the
2* Design 620
12 6 Fractional Replication of the 2k Design 622
12 6.1 The One Half Fraction of the 2*
Design 622
12 6.2 Smaller Fractions: The 2k p Fractional
Factorial Design 628
12 7 Exercises 635
CHAPTER 13
Process Optimization with Designed
Experiments 639
13 1 Response Surface Methods and Designs 640
13 1.1 The Method of Steepest Ascent 642
13 1.2 Analysis of a Second Order Response
Surface 645
13 2 Process Robustness Studies 651
13 2.1 Background 651
AV111 l^LJiN 1 LIN 1 5
13 2.2 The Response Surface Approach
to Process Robustness
Studies 653
13 3 Evolutionary Operation 662
13 4 Exercises 669
PARTV
Acceptance Sampling 673
CHAPTER 14
Lot by Lot Acceptance Sampling for
Attributes 675
14 1 The Acceptance Sampling Problem 676
14 1.1 Advantages and Disadvantages of
Sampling 677
14 1.2 Types of Sampling Plans 678
14 1.3 Lot Formation 679
14 1.4 Random Sampling 680
14 1.5 Guidelines for Using Acceptance
Sampling 680
14 2 Single Sampling Plans for Attributes 682
14 2.1 Definition of a Single Sampling
Plan 682
14 2.2 The OC Curve 682
14 2.3 Designing a Single Sampling Plan
with a Specified OC Curve 689
14 2.4 Rectifying Inspection 690
14 3 Double, Multiple, and Sequential
Sampling 694
14 3.1 Double Sampling Plans 694
14 3.2 Multiple Sampling Plans 701
14 3.3 Sequential Sampling Plans 701
14 4 Military Standard 105E (ANSI/ASQCZ 1.4,
ISO 2859) 705
14 4.1 Description of the Standard 705
14 4.2 Procedure 707
14 4.3 Discussion 712
14 5 The Dodge Romig Sampling
Plans 714
14 5.1 AOQL Plans 716
14 5.2 LTPD Plans 716
14 5.3 Estimation of Process Average 719
14 6 Exercises 719
CHAPTER 15
Other Acceptance Sampling Techniques 722
15 1 Acceptance Sampling by Variables 723
15 1.1 Advantages and Disadvantages of
_ Variables Sampling 723
15 1.2 Types of Sampling Plans
Available 724
15 1.3 Caution in the Use of Variables
Sampling 725
15 2 Designing a Variables Sampling Plan with a
Specified OC Curve 726
15 3 MILSTD414(ANSI/ASQCZ1.9) 729
15 3.1 General Description of the
Standard 729
15 3.2 Use of the Tables 730
15 3.3 Discussion ofMILSTD 414 and
ANSI/ASQCZ1.9 733
15 4 Other Variables Sampling Procedures 734
15 4.1 Sampling by Variables to Give Assurance
Regarding the Lot or
Process Mean 734
15 4.2 Sequential Sampling by
Variables 735
15 5 Chain Sampling 735
15 6 Continuous Sampling 737
15 6.1 CSP 1 738
15 6.2 Other Continuous Sampling
Plans 740
15 7 Skip Lot Sampling Plans 741
15 8 Exercises 745
Appendix 749
I. Summary of Common Probability
Distributions Often Used in Statistical
Quality Control 751
II. Cumulative Standard Normal Distribution 752
III. Percentage Points of the 2 Distribution 754
IV. Percentage Points of the t Distribution 755
V. Percentage Points of the F Distribution 756
VI. Factors for Constructing Variables Control
Charts 761
VII. Factors for Two Sided Normal Tolerance
Limits 762
VIII. Factors for One Sided Normal Tolerance
Limits 763
CONTENTS xix
IX. Random Numbers 764
Bibliography 765
Answers to Selected Exercises 777
Index 791
|
| any_adam_object | 1 |
| author | Montgomery, Douglas C. 1943- |
| author_GND | (DE-588)12861448X |
| author_facet | Montgomery, Douglas C. 1943- |
| author_role | aut |
| author_sort | Montgomery, Douglas C. 1943- |
| author_variant | d c m dc dcm |
| building | Verbundindex |
| bvnumber | BV013415032 |
| callnumber-first | T - Technology |
| callnumber-label | TS156 |
| callnumber-raw | TS156.M64 2001 |
| callnumber-search | TS156.M64 2001 |
| callnumber-sort | TS 3156 M64 42001 |
| callnumber-subject | TS - Manufactures |
| classification_rvk | QH 251 |
| classification_tum | FER 060f |
| ctrlnum | (OCoLC)301062602 (DE-599)BVBBV013415032 |
| dewey-full | 658.5/6221 658.5/62 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.5/62 21 658.5/62 |
| dewey-search | 658.5/62 21 658.5/62 |
| dewey-sort | 3658.5 262 221 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Fertigungstechnik Wirtschaftswissenschaften |
| edition | 4. ed. |
| format | Book |
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| genre | 1\p (DE-588)4151278-9 Einführung gnd-content Matériel didactique |
| genre_facet | Einführung Matériel didactique |
| id | DE-604.BV013415032 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T18:45:28Z |
| institution | BVB |
| isbn | 0471316482 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-009153509 |
| oclc_num | 301062602 |
| open_access_boolean | |
| owner | DE-703 DE-91G DE-BY-TUM DE-521 |
| owner_facet | DE-703 DE-91G DE-BY-TUM DE-521 |
| physical | XIX, 796 S. graph. Darst. |
| publishDate | 2001 |
| publishDateSearch | 2001 |
| publishDateSort | 2001 |
| publisher | Wiley |
| record_format | marc |
| spelling | Montgomery, Douglas C. 1943- Verfasser (DE-588)12861448X aut Introduction to statistical quality control Douglas C. Montgomery Statistical quality control 4. ed. New York u.a. Wiley 2001 XIX, 796 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Qualité - Contrôle - Méthodes statistiques ram Quality control -- Statistical methods Process 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 Matériel didactique Statistische Qualitätskontrolle (DE-588)4182962-1 s DE-604 Qualitätskontrolle (DE-588)4047968-7 s 2\p DE-604 http://www.loc.gov/catdir/description/wiley039/00039237.html Publisher description http://www.loc.gov/catdir/toc/onix05/00039237.html Table of Contents HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009153509&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 Qualité - Contrôle - Méthodes statistiques ram Quality control -- Statistical methods Process 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 | Qualité - Contrôle - Méthodes statistiques ram Quality control -- Statistical methods Process control -- Statistical methods Statistische Qualitätskontrolle (DE-588)4182962-1 gnd Qualitätskontrolle (DE-588)4047968-7 gnd |
| topic_facet | Qualité - Contrôle - Méthodes statistiques Quality control -- Statistical methods Process control -- Statistical methods Statistische Qualitätskontrolle Qualitätskontrolle Einführung Matériel didactique |
| url | http://www.loc.gov/catdir/description/wiley039/00039237.html http://www.loc.gov/catdir/toc/onix05/00039237.html http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009153509&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT montgomerydouglasc introductiontostatisticalqualitycontrol AT montgomerydouglasc statisticalqualitycontrol |