Elementary statistical quality control:
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
New York [u.a.]
Dekker
1979
|
| Edition: | 1. print. |
| Series: | Statistics
25 |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | 413 S. |
| ISBN: | 0824766865 |
Staff View
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Record in the Search Index
| _version_ | 1804136131545006080 |
|---|---|
| adam_text | CONTENTS
Note from the Series Editor iv
Foreword v
Preface vii
1 WHY STATISTICS? 1
1.1 Statistical Quality Control 1
1.2 Data: Statistics for Action 2
1.3 Patterns of Variation 3
1.4 Wide Applicability 3
1.5 Summary 4
2 CHARACTERISTICS OF DATA AND HOW TO DESCRIBE THEM 5
2.1 Two Basic Characteristics of Data 5
2.2 Measuring Average Level and Variability 6
2.3 Condensing Data into a Frequency Table 10
2.4 Sample Data versus Population 15
2.5 Interpretation of x and s 17
2.6 Efficient Calculation of x and s: Coding 18
2.7 Curve Shape 22
2.8 Population versus Sample Characteristics 23
2.9 Summary 24
Problems 24
Reference 26
3 SIMPLE PROBABILITY 27
3.1 Likelihood of an Event Occurring 27
3.2 Occurrence Ratio 28
3.3 Example 1 and Probability Laws 30
3.4 Example 2 and Equal Likelihood, Dependence 34
3.5 Example 3, Another Lot Probability Problem 36
3.6 Counting Samples: Combinations and Permutations 38
3.7 Approach of Occurrence Ratio d/n = p to p1 41
3.8 Further Examples of Probability 43
3.9 Summary 47
Problems 47
4 THREE BASIC LAWS FOR ATTRIBUTE DATA 49
4.1 Counted Data: Defects or Defective Pieces
in a Sample of n Pieces 49
ix
x Contents
4.2 The Binomial Distribution for Defectives 50
4.3 The Poisson Distribution for Defects 58
4.4* The Hypergeometric Distribution for Defectives 66
4.5 Summary 70
Problems 71
References 72
5 CONTROL CHARTS IN GENERAL 75
5.1 Running Record Charts of Performance 75
5.2 Performance Varies 78
5.3 Unusual Performance Calls for Action 78
5.4 What Is Unusual? 79
5.5 Two Kinds of Causes 80
5.6 Control Charts 81
5.7 Interpretations of Points and Limits 84
5.8 Two Purposes of Control Charts 85
5.9 Process in Statistical Control 86
5.10 Advantages of a Process in Control 86
5.11 Summary 87
Problems 88
References 89
6 CONTROL CHARTS FOR ATTRIBUTES: PROCESS CONTROL 91
6.1 Charts for Defectives or Nonconforming Pieces 91
6.2 Charts for Defects 109
6.3 Summary 120
Problems 122
7 CONTROL CHARTS FOR MEASUREMENTS: PROCESS CONTROL 127
7.1 Two Characteristics We Desire to Control 127
7.2 An Example, x, R Charts for Past Data 129
7.3 An Experimental Example, x, R Charts for Past Data 133
7.4 Some Population Distributions for Sampling
Experiments 140
7.5 The Normal Distribution 142
7.6 Control Charts for x and R, Standards Given 147
7.7 Control Charts for Standard Deviations, s 148
7.8 Comparison of a Process with Specifications 151
7.9 Continuing the Charts 156
7.10 When and How to Set Standard Values 157
7.11 Examples 158
7.12 Some Background of Control Charts 167
7.13 Summary 169
Problems 170
References 179
8 FURTHER TOPICS IN CONTROL CHARTS AND APPLICATIONS 181
8.1 Types of Sampling 181
8.2 Tool Wear, Slanting Limits 192
Contents xi
8.3 Charts for Individual x s and Moving Ranges 197
8.4 Percent Defective of Bulk Product 200
8.5* Average Run Length for a Point Out 202
8.6* Chart for Demerits, Rating Quality 206
8.7 Some Typical Applications 208
Problems 219
References 222
9 ACCEPTANCE SAMPLING FOR ATTRIBUTES 223
9.1 Why Use a Sample for a Decision on a Lot? 223
9.2 Levels of Inspecting or Testing a Lot 224
9.3 The Operating Characteristic of a Plan 225
9.4 Attribute Sampling Inspection 225
9.5 Characteristics of Single Sampling Plans 226
9.6 Double Sampling Plans and Their Characteristics 234
9.7 Acceptance Sampling for Defects 244
9.8 Finding a Single Sampling Plan to Match
Two Points on the OC Curve 245
9.9 Some Principles and Concepts in Sampling
by Attributes 247
9.10 Summary 256
Problems 256
References 257
10 SOME STANDARD SAMPLING PLANS FOR ATTRIBUTES 259
10.1 The ABC Standard or Military Standard 105D 259
10.2 The Dodge Romig Sampling Tables 294
10.3 Other Sampling Inspection Plans 296
10.4 Continuous Sampling Plans 297
10.5* Chain Sampling Plan, ChSP 1 300
10.6* Skip Lot Sampling Plan, SkSP 1 302
10.7 Summary 304
Problems 304
References 306
11 SAMPLING BY VARIABLES 307
11.1 Knowledge of Distribution Type 308
11.2 General Aim: To Judge Whether Distribution
Is Satisfactory 309
11.3 Decisions on Lot Mean, Known a, Normal
Distribution 309
11.4 Decisions on Lot by Measurements, 0 Unknown,
Normal Distribution 320
11.5 Single Sample Test on Variability 322
11.6 Description of Military Standard MIL STD 414 324
11.7 Checking a Process Setting 327
11.8 Summary 328
Problems 329
References 331
xi L Contents
12 TOLERANCES FOR MATING PARTS AND ASSEMBLIES 333
12.1 An Example of Bearing and Shaft 333
12.2 An Example of an Additive Combination 337
12.3 General Formulas 339
12.4 Setting Realistic Tolerances 340
12.5 Relations Other Than Additive Subtractive 342
12.6 Summary 342
Problems 343
Reference 346
13 STUDYING RELATIONSHIPS BETWEEN VARIABLES BY
LINEAR CORRELATION AND REGRESSION 347
13.1 Two General Problems 347
13.2 First Example—Estimation 348
13.3 Second Example—Correlation 355
13.4 Simplifying the Calculations 360
13.5 Interpretations and Precautions 363
13.6 Some Applications 365
Problems 367
References 369
14 A FEW RELIABILITY CONCEPTS 371
14.1 Reliability in General 371
14.2 Definitions of Reliability 372
14.3 Time to First Failure, the Geometric Distribution 373
14.4 Lower Confidence Limit on Reliability 375
14.5 The Exponential Distribution for Length of Life 377
14.6 Reliability of Complex Equipment 380
14.7 Summary 382
Problems 383
References 384
Appendix: Tables of Statistical and Mathematical Functions 385
Answers to Odd Numbered Problems 405
Index 411
|
| adam_txt |
CONTENTS
Note from the Series Editor iv
Foreword v
Preface vii
1 WHY STATISTICS? 1
1.1 Statistical Quality Control 1
1.2 Data: Statistics for Action 2
1.3 Patterns of Variation 3
1.4 Wide Applicability 3
1.5 Summary 4
2 CHARACTERISTICS OF DATA AND HOW TO DESCRIBE THEM 5
2.1 Two Basic Characteristics of Data 5
2.2 Measuring Average Level and Variability 6
2.3 Condensing Data into a Frequency Table 10
2.4 Sample Data versus Population 15
2.5 Interpretation of x and s 17
2.6 Efficient Calculation of x and s: Coding 18
2.7 Curve Shape 22
2.8 Population versus Sample Characteristics 23
2.9 Summary 24
Problems 24
Reference 26
3 SIMPLE PROBABILITY 27
3.1 Likelihood of an Event Occurring 27
3.2 Occurrence Ratio 28
3.3 Example 1 and Probability Laws 30
3.4 Example 2 and Equal Likelihood, Dependence 34
3.5 Example 3, Another Lot Probability Problem 36
3.6 Counting Samples: Combinations and Permutations 38
3.7 Approach of Occurrence Ratio d/n = p to p1 41
3.8 Further Examples of Probability 43
3.9 Summary 47
Problems 47
4 THREE BASIC LAWS FOR ATTRIBUTE DATA 49
4.1 Counted Data: Defects or Defective Pieces
in a Sample of n Pieces 49
ix
x Contents
4.2 The Binomial Distribution for Defectives 50
4.3 The Poisson Distribution for Defects 58
4.4* The Hypergeometric Distribution for Defectives 66
4.5 Summary 70
Problems 71
References 72
5 CONTROL CHARTS IN GENERAL 75
5.1 Running Record Charts of Performance 75
5.2 Performance Varies 78
5.3 Unusual Performance Calls for Action 78
5.4 What Is Unusual? 79
5.5 Two Kinds of Causes 80
5.6 Control Charts 81
5.7 Interpretations of Points and Limits 84
5.8 Two Purposes of Control Charts 85
5.9 Process in Statistical Control 86
5.10 Advantages of a Process in Control 86
5.11 Summary 87
Problems 88
References 89
6 CONTROL CHARTS FOR ATTRIBUTES: PROCESS CONTROL 91
6.1 Charts for Defectives or Nonconforming Pieces 91
6.2 Charts for Defects 109
6.3 Summary 120
Problems 122
7 CONTROL CHARTS FOR MEASUREMENTS: PROCESS CONTROL 127
7.1 Two Characteristics We Desire to Control 127
7.2 An Example, x, R Charts for Past Data 129
7.3 An Experimental Example, x, R Charts for Past Data 133
7.4 Some Population Distributions for Sampling
Experiments 140
7.5 The Normal Distribution 142
7.6 Control Charts for x and R, Standards Given 147
7.7 Control Charts for Standard Deviations, s 148
7.8 Comparison of a Process with Specifications 151
7.9 Continuing the Charts 156
7.10 When and How to Set Standard Values 157
7.11 Examples 158
7.12 Some Background of Control Charts 167
7.13 Summary 169
Problems 170
References 179
8 FURTHER TOPICS IN CONTROL CHARTS AND APPLICATIONS 181
8.1 Types of Sampling 181
8.2 Tool Wear, Slanting Limits 192
Contents xi
8.3 Charts for Individual x's and Moving Ranges 197
8.4 Percent Defective of Bulk Product 200
8.5* Average Run Length for a Point Out 202
8.6* Chart for Demerits, Rating Quality 206
8.7 Some Typical Applications 208
Problems 219
References 222
9 ACCEPTANCE SAMPLING FOR ATTRIBUTES 223
9.1 Why Use a Sample for a Decision on a Lot? 223
9.2 Levels of Inspecting or Testing a Lot 224
9.3 The Operating Characteristic of a Plan 225
9.4 Attribute Sampling Inspection 225
9.5 Characteristics of Single Sampling Plans 226
9.6 Double Sampling Plans and Their Characteristics 234
9.7 Acceptance Sampling for Defects 244
9.8 Finding a Single Sampling Plan to Match
Two Points on the OC Curve 245
9.9 Some Principles and Concepts in Sampling
by Attributes 247
9.10 Summary 256
Problems 256
References 257
10 SOME STANDARD SAMPLING PLANS FOR ATTRIBUTES 259
10.1 The ABC Standard or Military Standard 105D 259
10.2 The Dodge Romig Sampling Tables 294
10.3 Other Sampling Inspection Plans 296
10.4 Continuous Sampling Plans 297
10.5* Chain Sampling Plan, ChSP 1 300
10.6* Skip Lot Sampling Plan, SkSP 1 302
10.7 Summary 304
Problems 304
References 306
11 SAMPLING BY VARIABLES 307
11.1 Knowledge of Distribution Type 308
11.2 General Aim: To Judge Whether Distribution
Is Satisfactory 309
11.3 Decisions on Lot Mean, Known a, Normal
Distribution 309
11.4 Decisions on Lot by Measurements, 0 Unknown,
Normal Distribution 320
11.5 Single Sample Test on Variability 322
11.6 Description of Military Standard MIL STD 414 324
11.7 Checking a Process Setting 327
11.8 Summary 328
Problems 329
References 331
xi L Contents
12 TOLERANCES FOR MATING PARTS AND ASSEMBLIES 333
12.1 An Example of Bearing and Shaft 333
12.2 An Example of an Additive Combination 337
12.3 General Formulas 339
12.4 Setting Realistic Tolerances 340
12.5 Relations Other Than Additive Subtractive 342
12.6 Summary 342
Problems 343
Reference 346
13 STUDYING RELATIONSHIPS BETWEEN VARIABLES BY
LINEAR CORRELATION AND REGRESSION 347
13.1 Two General Problems 347
13.2 First Example—Estimation 348
13.3 Second Example—Correlation 355
13.4 Simplifying the Calculations 360
13.5 Interpretations and Precautions 363
13.6 Some Applications 365
Problems 367
References 369
14 A FEW RELIABILITY CONCEPTS 371
14.1 Reliability in General 371
14.2 Definitions of Reliability 372
14.3 Time to First Failure, the Geometric Distribution 373
14.4 Lower Confidence Limit on Reliability 375
14.5 The Exponential Distribution for Length of Life 377
14.6 Reliability of Complex Equipment 380
14.7 Summary 382
Problems 383
References 384
Appendix: Tables of Statistical and Mathematical Functions 385
Answers to Odd Numbered Problems 405
Index 411 |
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| id | DE-604.BV022156972 |
| illustrated | Not Illustrated |
| index_date | 2024-07-02T16:18:35Z |
| indexdate | 2024-07-09T20:51:31Z |
| institution | BVB |
| isbn | 0824766865 |
| language | English |
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| physical | 413 S. |
| publishDate | 1979 |
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| publisher | Dekker |
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| series | Statistics |
| series2 | Statistics |
| spelling | Burr, Irving W. Verfasser aut Elementary statistical quality control Irving W. Burr 1. print. New York [u.a.] Dekker 1979 413 S. txt rdacontent n rdamedia nc rdacarrier Statistics 25 Controle de qualidade larpcal Estatistica aplicada larpcal Qualité - Contrôle - Méthodes statistiques ram Quality control Statistical methods Qualitätskontrolle (DE-588)4047968-7 gnd rswk-swf Statistische Qualitätskontrolle (DE-588)4182962-1 gnd rswk-swf Mathematik (DE-588)4037944-9 gnd rswk-swf Mathematik (DE-588)4037944-9 s DE-604 Qualitätskontrolle (DE-588)4047968-7 s Statistische Qualitätskontrolle (DE-588)4182962-1 s 1\p DE-604 Statistics 25 (DE-604)BV000003265 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015371634&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 |
| spellingShingle | Burr, Irving W. Elementary statistical quality control Statistics Controle de qualidade larpcal Estatistica aplicada larpcal Qualité - Contrôle - Méthodes statistiques ram Quality control Statistical methods Qualitätskontrolle (DE-588)4047968-7 gnd Statistische Qualitätskontrolle (DE-588)4182962-1 gnd Mathematik (DE-588)4037944-9 gnd |
| subject_GND | (DE-588)4047968-7 (DE-588)4182962-1 (DE-588)4037944-9 |
| title | Elementary statistical quality control |
| title_auth | Elementary statistical quality control |
| title_exact_search | Elementary statistical quality control |
| title_exact_search_txtP | Elementary statistical quality control |
| title_full | Elementary statistical quality control Irving W. Burr |
| title_fullStr | Elementary statistical quality control Irving W. Burr |
| title_full_unstemmed | Elementary statistical quality control Irving W. Burr |
| title_short | Elementary statistical quality control |
| title_sort | elementary statistical quality control |
| topic | Controle de qualidade larpcal Estatistica aplicada larpcal Qualité - Contrôle - Méthodes statistiques ram Quality control Statistical methods Qualitätskontrolle (DE-588)4047968-7 gnd Statistische Qualitätskontrolle (DE-588)4182962-1 gnd Mathematik (DE-588)4037944-9 gnd |
| topic_facet | Controle de qualidade Estatistica aplicada Qualité - Contrôle - Méthodes statistiques Quality control Statistical methods Qualitätskontrolle Statistische Qualitätskontrolle Mathematik |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015371634&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV000003265 |
| work_keys_str_mv | AT burrirvingw elementarystatisticalqualitycontrol |