Introduction to statistical quality control:
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Hoboken, N.J.
Wiley
2005
|
| Edition: | 5. ed. |
| Subjects: | |
| Online Access: | Table of contents Inhaltsverzeichnis |
| Item Description: | Includes bibliographical references and index |
| Physical Description: | XVI, 759 S. graph. Darst. 26 cm |
| ISBN: | 0471656313 0471661228 |
Staff View
MARC
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| 100 | 1 | |a Montgomery, Douglas C. |d 1943- |e Verfasser |0 (DE-588)12861448X |4 aut | |
| 245 | 1 | 0 | |a Introduction to statistical quality control |c Douglas C. Montgomery |
| 250 | |a 5. ed. | ||
| 264 | 1 | |a Hoboken, N.J. |b Wiley |c 2005 | |
| 300 | |a XVI, 759 S. |b graph. Darst. |c 26 cm | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 500 | |a Includes bibliographical references and index | ||
| 650 | 4 | |a Control de calidad - Métodos estadísticos | |
| 650 | 4 | |a Control de procesos - Métodos estadísticos | |
| 650 | 7 | |a Controle da qualidade |2 larpcal | |
| 650 | 4 | |a Fabrication - Contrôle - Méthodes statistiques | |
| 650 | 4 | |a Qualité - Contrôle - Méthodes statistiques | |
| 650 | 4 | |a Quality control |x Statistical methods | |
| 650 | 4 | |a Process control |x Statistical methods | |
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| 650 | 0 | 7 | |a Statistische Qualitätskontrolle |0 (DE-588)4182962-1 |2 gnd |9 rswk-swf |
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Record in the Search Index
| _version_ | 1804133591716724736 |
|---|---|
| adam_text | Contents
CHAPTER 1
Quality Improvement in the Modern
Business Environment 1
Chapter Overview and Learning Objectives 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 11
1 4 Management Aspects of Quality
Improvement 15
1 4.1 Quality Philosophy and Management
Strategies 16
1 4.2 The Link Between Quality and
Productivity 27
1 4.3 Quality Costs 28
1 4.4 Legal Aspects of Quality 33
1 4.5 Implementing Quality Improvement 35
PARTI
Statistical Methods Useful in Quality Control
and Improvement 39
CHAPTER 2
Modeling Process Quality 41
Chapter Overview and Learning Objectives 41
2 1 Describing Variation 42
2 1.1 The Stem and Leaf Plot 42
2 1.2 The Histogram 44
2 1.3 Numerical Summary of Data 47
2 1.4 The Box Plot 50
2 1.5 Probability Distributions 51
2 2 Important Discrete Distributions 55
2 2.1 The Hypergeometric Distribution 55
2 2.2 The Binomial Distribution 57
2 2.3 The Poisson Distribution 58
2 2.4 The Pascal and Related Distributions 59
2 3 Important Continuous Distributions 61
2 3.1 The Normal Distribution 61
2 3.2 The Lognormal Distribution 66
2 3.3 The Exponential Distribution 69
2 3.4 The Gamma Distribution 70
2 3.5 The Weibull Distribution 72
2 4 Probability Plots 74
2 4.1 Normal Probability Plots 74
2 4.2 Other Probability Plots 76
2 5 Some Useful Approximations 77
2 5.1 The Binomial Approximation to the
Hypergeometric 77
2 5.2 The Poisson Approximation to the
Binomial 78
2 5.3 The Normal Approximation to the
Binomial 78
2 5.4 Comments on Approximations 79
CHAPTER 3
Inferences about Process Quality 86
Chapter Overview and Learning Objectives 86
3 1 Statistics and Sampling Distributions 87
3 1.1 Sampling from a Normal Distribution 88
3 1.2 Sampling from a Bernoulli
Distribution 92
3 1.3 Sampling from a Poisson Distribution 92
3 2 Point Estimation of Process Parameters 93
3 3 Statistical Inference for a Single Sample 96
3 3.1 Inference on the Mean of a Population,
Variance Known 97
3 3.2 The Use of P Values for Hypothesis
Testing 100
xi
Xii CONTENTS
3 3.3 Inference on the Mean of a Normal
Distribution, Variance Unknown 101
3 3.4 Inference on the Variance of a Normal
Distribution 105
3 3.5 Inference on a Population Proportion 107
3 3.6 The Probability of Type II Error and
Sample Size Decisions 109
3 4 Statistical Inference for Two Samples 112
3 4.1 Inference for a Difference in Means,
Variances Known 113
3 4.2 Inference for a Difference in Means of
Two Normal Distributions, Variances
Unknown 116
3 4.3 Inference on the Variances of Two Normal
Distributions 125
3 4.4 Inference on Two Population
Proportions 126
3 5 What If There Are More Than Two Populations?
The Analysis of Variance 128
3 5.1 An Example 128
3 5.2 The Analysis of Variance 130
3 5.3 Checking Assumptions: Residual
Analysis 137
PART II
Basic Methods of Statistical Process Control and
Capability Analysis 145
CHAPTER 4
Methods and Philosophy of Statistical Process
Control 147
Chapter Overview and Learning Objectives 147
4 1 Introduction 148
4 2 Chance and Assignable Causes of Quality
Variation 148
4 3 Statistical Basis of the Control Chart 150
4 3.1 Basic Principles 150
4 3.2 Choice of Control Limits 158
4 3.3 Sample Size and Sampling
Frequency 160
4 3.4 Rational Subgroups 162
4 3.5 Analysis of Patterns on Control
Charts 164
4 3.6 Discussion of Sensitizing Rules for Control
Charts 166
4 3.7 Phase I and Phase II of Control Chart
Application 168
4 4 The Rest of the Magnificent Seven 169
4 5 Implementing SPC 175
4 6 An Application of SPC 176
4 7 Nonmanufacturing Applications of Statistical
Process Control 183
CHAPTER 5
Control Charts for Variables 194
Chapter Overview and Learning Objectives 194
5 1 Introduction 195
5 2 Control Charts for x and R 196
5 2.1 Statistical Basis of the Charts 196
5 2.2 Development and Use of x and
R Charts 200
5 2.3 Charts Based on Standard Values 212
5 2.4 Interpretation of x and R Charts 214
5 2.5 The Effect of Nonnormality on x and
R Charts 216
5 2.6 The Operating Characteristic
Function 217
5 2.7 The Average Run Length for
the x Chart 220
5 3 Control Charts for x and s 222
5 3.1 Construction and Operation of x and
s Charts 222
5 3.2 The x and s Control Charts with Variable
Sample Size 227
5 3.3 The s2 Control Chart 231
5 4 The Shewhart Control Chart for Individual
Measurements 231
5 5 Summary of Procedures for x, R, and
s Charts 242
5 6 Applications of Variables Control Charts 243
CHAPTER 6
Control Charts for Attributes 265
Chapter Overview and Learning Objectives 265
6 1 Introduction 266
6 2 The Control Chart for Fraction Nonconforming
266
6 2.1 Development and Operation of the
Control Chart 268
6 2.2 Variable Sample Size 280
6 2.3 Nonmanufacturing Applications 284
6 2.4 The Operating Characteristic Function and
Average Run Length Calculations 286
6 3 Control Charts for Nonconformities
(Defects) 288
6 3.1 Procedures with Constant Sample
Size 289
6 3.2 Procedures with Variable Sample
Size 298
6 3.3 Demerit Systems 300
6 3.4 The Operating Characteristic
Function 302
6 3.5 Dealing with Low Defect Levels 304
6 3.6 Nonmanufacturing Applications 306
6 4 Choice Between Attributes and Variables Control
Charts 306
6 5 Guidelines for Implementing Control
Charts 311
CHAPTER 7
Process and Measurement System Capability
Analysis 326
Chapter Overview and Learning Objectives 326
7 1 Introduction 327
7 2 Process Capability Analysis Using a Histogram or
a Probability Plot 329
7 2.1 Using the Histogram 329
7 2.2 Probability Plotting 331
7 3 Process Capability Ratios 333
7 3.1 Use and Interpretation of Cp 333
7 3.2 Process Capability Ratio for an Off Center
Process 338
7 3.3 Normality and the Process Capability
Ratio 339
7 3.4 More about Process Centering 341
7 3.5 Confidence Intervals and Tests on Process
Capability Ratios 343
7 4 Process Capability Analysis Using a Control
Chart 349
7 5 Process Capability Analysis Using Designed
Experiments 351
7 6 Gauge and Measurement System Capability
Studies 352
7 6.1 Basic Concepts of Gauge Capability 352
7 6.2 The Analysis of Variance Method 358
7 6.3 Confidence Intervals in Gauge R R
Studies 362
7 6.4 False Defectives and Passed
Defectives 364
7 7 Setting Specification Limits on Discrete
Components 367
7 7.1 Linear Combinations 367
7 7.2 Nonlinear Combinations 371
contents xiii
7 8 Estimating the Natural Tolerance Limits of a
Process 374
7 8.1 Tolerance Limits Based on the Normal
Distribution 374
7 8.2 Nonparametric Tolerance Limits 375
PART III
Other Statistical Process Monitoring and Control
Techniques 383
CHAPTER 8
Cumulative Sum and Exponentially Weighted Moving
Average Control Charts 385
Chapter Overview and Learning Objectives 385
8 1 The Cumulative Sum Control Chart 386
8 1.1 Basic Principles: The Cusum Control
Chart for Monitoring the Process
Mean 386
8 1.2 The Tabular or Algorithmic Cusum for
Monitoring the Process Mean 390
8 1.3 Recommendations for Cusum
Design 395
8 1.4 The Standardized Cusum 397
8 1.5 Improving Cusum Responsiveness for
Large Shifts 398
8 1.6 The Fast Initial Response or Headstart
Feature 398
8 1.7 One Sided Cusums 400
8 1.8 A Cusum for Monitoring Process
Variability 401
8 1.9 Rational Subgroups 402
8 1.10 Cusums for Other Sample Statistics 402
8 1.11 The V Mask Procedure 403
8 2 The Exponentially Weighted Moving Average
Control Chart 405
8 2.1 The Exponentially Weighted Moving
Average Control Chart for Monitoring the
Process Mean 406
8 2.2 Design of an EWMA Control Chart 411
8 2.3 Robustness of the EWMA to Nonnormality
412
8 2.4 Rational Subgroups 413
8 2.5 Extensions of the EWMA 413
8 3 The Moving Average Control Chart 417
Xiv CONTENTS
CHAPTER 9
Other Univariate Statistical Process Monitoring and
Control Techniques 423
Chapter Overview and Learning Objectives 423
9 1 Statistical Process Control for Short Production
Runs 424
9 1.1 x and R Charts for Short Production
Runs 425
9 1.2 Attributes Control Charts for Short
Production Runs 427
9 1.3 Other Methods 428
9 2 Modified and Acceptance Control Charts 429
9 2.1 Modified Control Limits for
the x Chart 429
9 2.2 Acceptance Control Charts 433
9 3 Control Charts for Multiple Stream
Processes 434
9 3.1 Multiple Stream Processes 434
9 3.2 Group Control Charts 434
9 3.3 Other Approaches 437
9 4 SPC With Autocorrelated Process Data 438
9 4.1 Sources and Effects of Autocorrelation in
Process Data 438
9 4.2 Model Based Approaches 443
9 4.3 A Model Free Approach 452
9 5 Adaptive Sampling Procedures 455
9 6 Economic Design of Control Charts 457
9 6.1 Designing a Control Chart 457
9 6.2 Process Characteristics 458
9 6.3 Cost Parameters 458
9 6.4 Early Work and Semieconomic
Designs 460
9 6.5 An Economic Model of the x Control
Chart 461
9 6.6 Other Work 466
9 7 Cuscore Charts 467
9 8 The Changepoint Model for Process
Monitoring 470
9 9 Overview of Other Procedures 472
9 9.1 Tool Wear 472
9 9.2 Control Charts Based on Other Sample
Statistics 473
9 9.3 Fill Control Problems 474
9 9.4 Precontrol 474
9 9.5 Tolerance Interval Control Charts 476
9 9.6 Monitoring Processes with Censored
Data 476
9 9.7 Nonparametric Control Charts 477
CHAPTER 10
Multivariate Process Monitoring and Control 486
Chapter Overview and Learning Objectives 486
10 1 The Multivariate Quality Control Problem 487
10 2 Description of Multivariate Data 489
10 2.1 The Multivariate Normal
Distribution 489
10 2.2 The Sample Mean Vector and Covariance
Matrix 490
10 3 The Hotelling T2 Control Chart 491
10 3.1 Subgrouped Data 491
10 3.2 Individual Observations 500
10 4 The Multivariate EWMA Control Chart 504
10 5 Regression Adjustment 507
10 6 Control Charts for Monitoring Variability 511
10 7 Latent Structure Methods 513
10 7.1 Principal Components 514
10 7.2 Partial Least Squares 519
10 8 Profile Monitoring 520
CHAPTER 11
Engineering Process Control and SPC 526
Chapter Overview and Learning Objectives 527
11 1 Process Monitoring and Process Regulation 527
11 2 Process Control by Feedback Adjustment 528
11 2.1 A Simple Adjustment Scheme: Integral
Control 528
11 2.2 The Adjustment Chart 535
11 2.3 Variations of the Adjustment Chart 536
11 2.4 Other Types of Feedback
Controllers 540
11 3 Combining SPC and EPC 541
PART IV
Process Design and Improvement with Designed
Experiments 547
CHAPTER 12
Factorial and Fractional Factorial Experiments for
Process Design and Improvement 549
Chapter Overview and Learning Objectives 549
12 1 What is Experimental Design? 550
12 2 Examples of Designed Experiments In Process
Improvement 551
12 3 Guidelines for Designing Experiments 555
12 4 Factorial Experiments 557
12 4.1 An Example 560
12 4.2 Statistical Analysis 560
12 4.3 Residual Analysis 566
12 5 The 2k Factorial Design 567
12 5.1 The 22 Design 567
12 5.2 The 2k Design for k 3 Factors 573
12 5.3 A Single Replicate of the 2k Design 585
12 5.4 Addition of Center Points to the
2k Design 589
12 5.5 Blocking and Confounding in the
2k Design 593
12 6 Fractional Replication of the 2k Design 595
12 6.1 The One Half Fraction of the
2k Design 595
12 6.2 Smaller Fractions: The 2k~p Fractional
Factorial Design 602
CHAPTER 13
Process Optimization with Designed Experiments 611
13 1 Response Surface Methods and Designs 612
13 1.1 The Method of Steepest Ascent 614
13 1.2 Analysis of a Second Order Response
Surface 616
13 2 Process Robustness Studies 621
13 2.1 Background 621
13 2.2 The Response Surface Approach to
Process Robustness Studies 624
13 3 Evolutionary Operation 631
PART V
Acceptance Sampling 643
CHAPTER 14
Lot by Lot Acceptance Sampling for Attributes 645
Chapter Overview and Learning Objectives 645
14 1 The Acceptance Sampling Problem 646
14 1.1 Advantages and Disadvantages of
Sampling 647
14 1.2 Types of Sampling Plans 648
14 1.3 Lot Formation 649
14 1.4 Random Sampling 649
14 1.5 Guidelines for Using Acceptance
Sampling 650
14 2 Single Sampling Plans for Attributes 652
14 2.1 Definition of a Single Sampling
Plan 652
14 2.2 The OC Curve 652
CONTENTS XV
14 2.3 Designing a Single Sampling Plan with a
Specified OC Curve 657
14 2.4 Rectifying Inspection 658
14 3 Double, Multiple, and Sequential Sampling 662
14 3.1 Double Sampling Plans 662
14 3.2 Multiple Sampling Plans 668
14 3.3 Sequential Sampling Plans 669
14 4 Military Standard 105E (ANSI/ASQC Z1.4, ISO
2859) 672
14 4.1 Description of the Standard 672
14 4.2 Procedure 674
14 4.3 Discussion 679
14 5 The Dodge Romig Sampling Plans 681
14 5.1 AOQL Plans 682
14 5.2 LTPD Plans 685
14 5.3 Estimation of Process Average 685
CHAPTER 15
Other Acceptance Sampling Techniques 688
15 1 Acceptance Sampling by Variables 689
15 1.1 Advantages and Disadvantages of
Variables Sampling 689
15 1.2 Types of Sampling Plans Available 690
15 1.3 Caution in the Use of Variables
Sampling 691
15 2 Designing a Variables Sampling Plan with a
Specified OC Curve 692
15 3 MIL STD 414 (ANSI/ASQC Z1.9) 694
15 3.1 General Description of the Standard 694
15 3.2 Use of the Tables 695
15 3.3 Discussion of MIL STD 414 and
ANSI/ASQC Z1.9 698
15 4 Other Variables Sampling Procedures 699
15 4.1 Sampling by Variables to Give Assurance
Regarding the Lot or Process Mean 699
15 4.2 Sequential Sampling by Variables 700
15 5 Chain Sampling 700
15 6 Continuous Sampling 702
15 6.1 CSP 1 703
15 6.2 Other Continuous Sampling Plans 705
15 7 Skip Lot Sampling Plans 706
Appendix 713
I. Summary of Common Probability Distributions
Often Used in Statistical Quality Control 715
II. Cumulative Standard Normal Distribution 716
III. Percentage Points of the %2 Distribution 718
IV. Percentage Points of the t Distribution 719
V. Percentage Points of the F Distribution 720
XVI CONTENTS
VI. Factors for Constructing Variables Control
Charts 725
VII. Factors for Two Sided Normal Tolerance
Limits 726
VIII. Factors for One Sided Normal Tolerance
Limits 727
Bibliography 729
Answers to Selected Exercises 713
Index 743
|
| 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- |
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| building | Verbundindex |
| bvnumber | BV020026590 |
| callnumber-first | T - Technology |
| callnumber-label | TS156 |
| callnumber-raw | TS156 |
| callnumber-search | TS156 |
| callnumber-sort | TS 3156 |
| callnumber-subject | TS - Manufactures |
| classification_rvk | QH 251 |
| ctrlnum | (OCoLC)56729567 (DE-599)BVBBV020026590 |
| dewey-full | 658.5/62 658.5/6222 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.5/62 658.5/62 22 |
| dewey-search | 658.5/62 658.5/62 22 |
| dewey-sort | 3658.5 262 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| edition | 5. ed. |
| format | Book |
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| genre | 1\p (DE-588)4151278-9 Einführung gnd-content |
| genre_facet | Einführung |
| id | DE-604.BV020026590 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T20:11:09Z |
| institution | BVB |
| isbn | 0471656313 0471661228 |
| language | English |
| lccn | 2004556782 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-013347884 |
| oclc_num | 56729567 |
| open_access_boolean | |
| owner | DE-19 DE-BY-UBM DE-521 DE-2070s |
| owner_facet | DE-19 DE-BY-UBM DE-521 DE-2070s |
| physical | XVI, 759 S. graph. Darst. 26 cm |
| publishDate | 2005 |
| publishDateSearch | 2005 |
| publishDateSort | 2005 |
| publisher | Wiley |
| record_format | marc |
| spelling | Montgomery, Douglas C. 1943- Verfasser (DE-588)12861448X aut Introduction to statistical quality control Douglas C. Montgomery 5. ed. Hoboken, N.J. Wiley 2005 XVI, 759 S. graph. Darst. 26 cm txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index Control de calidad - Métodos estadísticos Control de procesos - Métodos estadísticos Controle da qualidade larpcal Fabrication - Contrôle - Méthodes statistiques Qualité - Contrôle - Méthodes statistiques Quality control Statistical methods Process control Statistical methods Qualitätskontrolle (DE-588)4047968-7 gnd rswk-swf Statistische Qualitätskontrolle (DE-588)4182962-1 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 http://www.loc.gov/catdir/toc/wiley051/2004556782.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=013347884&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 Control de calidad - Métodos estadísticos Control de procesos - Métodos estadísticos Controle da qualidade larpcal Fabrication - Contrôle - Méthodes statistiques Qualité - Contrôle - Méthodes statistiques Quality control Statistical methods Process control Statistical methods Qualitätskontrolle (DE-588)4047968-7 gnd Statistische Qualitätskontrolle (DE-588)4182962-1 gnd |
| subject_GND | (DE-588)4047968-7 (DE-588)4182962-1 (DE-588)4151278-9 |
| title | Introduction to 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 | Control de calidad - Métodos estadísticos Control de procesos - Métodos estadísticos Controle da qualidade larpcal Fabrication - Contrôle - Méthodes statistiques Qualité - Contrôle - Méthodes statistiques Quality control Statistical methods Process control Statistical methods Qualitätskontrolle (DE-588)4047968-7 gnd Statistische Qualitätskontrolle (DE-588)4182962-1 gnd |
| topic_facet | Control de calidad - Métodos estadísticos Control de procesos - Métodos estadísticos Controle da qualidade Fabrication - Contrôle - Méthodes statistiques Qualité - Contrôle - Méthodes statistiques Quality control Statistical methods Process control Statistical methods Qualitätskontrolle Statistische Qualitätskontrolle Einführung |
| url | http://www.loc.gov/catdir/toc/wiley051/2004556782.html http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=013347884&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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