Introduction to statistical quality control:
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| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
New York u.a.
Wiley
1991
|
| Edition: | 2. ed. |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| ISBN: | 0471529931 |
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 2. ed. | ||
| 264 | 1 | |a New York u.a. |b Wiley |c 1991 | |
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Record in the Search Index
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|---|---|
| adam_text | Contents Chapter 1
Quality Improvement In the Modern Business
Environment /I
1 1 THE MEANING OF QUALITY IMPROVEMENT /I
1 2 THE LINK BETWEEN QUALITY IMPROVEMENT
AND PRODUCTIVITY /3
1 3 QUALITY COSTS /5
1 3.1 Prevention Costs /5
1 3.2 Appraisal Costs /7
1 3.3 Internal Failure Costs /7
1 3.4 External Failure Costs /8
1 3.5 The Management of Quality Costs /9
1 4 METHODS OF QUALITY IMPROVEMENT /I I
1 5 Total Quality Management /15
1 6 Legal Aspects /18
1 7 Summary /20
PARTI
STATISTICAL METHODS USEFUL IN QUALITY
IMPROVEMENT /21
Chapter 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 Other Useful Graphical Methods /28
2 1.4 Probability Distributions /32
2 2 IMPORTANT DISCRETE DISTRIBUTIONS /36
2 2.1 The Hypergeometric Distribution /36
2 2.2 The Binomial Distribution /37
2 2.3 The Poisson Distribution /39
2 2.4 The Pascal and Related Distributions /40
2 3 IMPORTANT CONTINUOUS
DISTRIBUTIONS /41
2 3.1 The Normal Distribution /41
2 3.2 The Exponential Distribution /47
2 3.3 The Gamma Distribution /48
2 3.4 The Weibull Distribution /50
2 4 SOME USEFUL APPROXIMATIONS /52
2 4.1 The Binomial Approximation to the
Hypergeometric /52
2 4.2 The Poisson Approximation to the Binomial /53
2 4.3 The Normal Approximation to the Binomial /53
2 4.4 Comments on Approximations /54
2 5 EXERCISES /54
Chapter 3
Inferences About Process Quality /59
3 1 STATISTICS AND SAMPLING
DISTRIBUTIONS /60
3 1.1 Sampling from a Normal Distribution /60
3 1.2 Sampling from a Bernoulli Distribution /64
3 1.3 Sampling from a Poisson Distribution /65
3 2 ESTIMATION OF PROCESS PARAMETERS /66
3 2.1 Point Estimation /66
3 2.2 Interval Estimation /67
3 3 HYPOTHESIS TESTING ON PROCESS
PARAMETERS /76
3 3. J 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
Chapter 4
Methods and Philosophy of Statistical Process
Control /101
4 1 INTRODUCTION /101
4 2 CHANCE AND ASSIGNABLE CAUSES OF
QUALITY VARIATION /102
4 3 STATISTICAL BASIS OF THE CONTROL
CHART /103
4 3.1 Basic Principles /103
4 3.2 Choice of Control Limits /109
4 3.3 Sample Size and Sampling Frequency /111
4 3.4 Rational Subgroups /113
4 3.5 Analysis of Patterns on Control Charts /114
4 3.6 Summary of Sensitizing Rules for Control
Charts /117
4 4 THE REST OF THE MAGNIFICENT
SEVEN /118
4 5 IMPLEMENTING SPC /126
4 6 AN APPLICATION OF SPC /129
4 7 NONMANUFACTURING APPLICATION OF
STATISTICAL PROCESS CONTROL /137
4 8 EXERCISES /144
Chapter 5
Control Charts for Attributes /147
5 1 INTRODUCTION /147
5 2 THE CONTROL CHART FOR FRACTION
NONCONFORMING /148
5 2.1 Development and Operation of the Control
Chart /149
5 2.2 Variable Sample Size /163
5 2.3 Nonmanufacturing Applications /169
5 2.4 The Operating Characteristic Function and
Average Run Length Calculations /169
5 3 CONTROL CHARTS FOR NONCONFORMITIES
(DEFECTS) /172
5 3.1 Procedures with Constant Sample Size /I 72
5 3.2 Procedures with Variable Sample Size /183
5 3.3 Demerit Systems /185
5 3.4 The Operating Characteristic Function /186
5 3.5 Dealing with Low Defect Levels /188
5 3.6 Nonmanufacturing Applications /188
5 4 EXERCISES /188
Chapter 6
Control Charts for Variables /201
6 1 INTRODUCTION /201
6 2 CONTROL CHARTS FOR * AND R /203
6 2.1 Statistical Basis of the Charts /203
6 2.2 Development and Use of x and R Charts /206
6 2.3 Charts Based on Standard Values /221
6 2.4 Interpretation of x and fl Charts /222
6 2.5 The Effect of Nonnormality on xand R
Charts /225
6 2.6 The Operating Characteristic Function /226
6 2.7 The Average Run Length for the x Chart /229
6 3 CONTROL CHARTS FOR xAND S /230
6 3.1 Construction and Operation of x and 5
Charts /231
6 3.2 The x and 5 Control Charts with Variable
Sample Size /235
6 3.3 The S2 Control Chart /239
6 3.4 Control Limits Based on a Small Number of
Samples (Short Production Runs) /241
6 4 CONTROL CHARTS FOR INDIVIDUAL
MEASUREMENTS /241
6 5 CHOICE BETWEEN ATTRIBUTES AND
VARIABLES CONTROL CHARTS /246
6 6 SUMMARY OF PROCEDURES FOR x, R, AND S
CHARTS /248
6 7 GUIDELINES FOR IMPLEMENTING CONTROL
CHARTS /248
6 8 APPLICATIONS OF VARIABLES CONTROL
CHARTS /257
6 9 EXERCISES /265
Chapter 7
Cumulative Sum and Exponentially Weighted
Moving Average Control Charts /279
7 1 THE CUMULATIVE SUM CONTROL
CHART /280
7 1.1 Basic Principles: The Cusum Control Chart for
Sample Averages /280
7 1.2 Designing a Cumulative Sum Control Chart to
Obtain a Particular ARL /288
7 1.3 The One Sided Cusum /290
7 1.4 A Tabular Form of the Cusum /291
7 1.5 Some Other Cusum Procedures /296
7 2 THE EXPONENTIALITY WEIGHTED
MOVINGVWERAGE CONTROL CHART /299
7 2.1 The Exponentially Weighted Moving Average
Control Chart for Sample Averages /299
7 2.2 Design of an EWMA Control Chart /305
7 2.3 EWMA Charts for Other Sample Statistics /306
7 2.4 The Moving Average Control Chart /307
7 3 EXERCISES /310
Chapter 8
Other Statistical Process Control
Techniques /313
8 1 STATISTICAL PROCESS CONTROL FOR SHORT
PRODUCTION RUNS /313
8 1.1 x and R Charts for Short Production Runs /314
8 1.2 Attribute Control Charts for Short Production
Runs /316
8 2 MODIFIED AND ACCEPTANCE CONTROL
CHARTS /317
8 2.1 Modified Control Limits for the x Chart /317
8 2.2 Acceptance Control Charts /319
8 3 GROUP CONTROL CHARTS FOR
MULTIPLE STREAM PROCESSES /321
8 4 MULTIVARIATE QUALITY CONTROL /322
8^.1 Control of Means /324
8 4.2 Control of Process Variability /330
8 5 PRE CONTROL /332
8 6 STATISTICAL ALTERNATIVES TO CONTROL
CHARTS /334
8 7 EVOLUTIONARY OPERATION /335
8 8 SPC WITH CORRELATED PROCESS DATA /341
8 9 OVERVIEW OF OTHER PROCEDURES /351
8 10 EXERCISES /357
Chapter 9
Process Capability Analysis /365
9 1 INTRODUCTION /365
9 2 PROCESS CAPABILITY ANALYSIS USING A
HISTOGRAM OR A PROBABILITY PLOT /367
9 2.1 Using the Histogram /367
9 2.2 Process Capability Ratios /369
9 2.3 Probability Plotting /380
9 3 PROCESS CAPABILITY ANALYSIS USING A
CONTROL CHART /385
9 4 PROCESS CAPABILITY ANALYSIS USING
DESIGNED EXPERIMENTS /388
9 5 GAGE CAPABILITY STUDIES /390
9 6 SETTING SPECIFICATION LIMITS ON DISCRETE
COMPONENTS /396
9 6.1 Linear Combinations /396
9 6.2 Nonlinear Combinations /400
9 7 ESTIMATING THE NATURAL TOLERANCE LIMITS
OF A PROCESS /403
9 7.1 Tolerance Limits Based on the Normal
Distribution /404
9 7.2 Nonparametric Tolerance Limits /404
9 8 EXERCISES /405
Chapter 10
Economic Design of Control Charts /413
10 1 INTRODUCTION /413
10 1.1 Process Characteristics /414
10 1.2 Cost Parameters /414
10 1.3 Early Work and Semieconomic Designs /416
10 2 ECONOMIC MODELS OF THE * CONTROL
CHART /417
10 2.1 Single Assignable Cause Models /418
10 2.2 Multiple Assignable Cause Models /429
10 2.3 Joint Economic Design of x and /? Control
Charts /436
10 3 ECONOMIC DESIGN OF THE CONTROL
CHART FOR FRACTION NONCONFORMING /437
10 4 OTHER ASPECTS OF THE ECONOMIC
DESIGN OF CONTROL CHARTS /439
10 5 SUMMARY /442
APPENDIX 10A A COMPUTER PROGRAM FOR THE
ECONOMIC DESIGN OF THE x
CONTROL CHART /445
10 6 EXERCISES /447
PART III
PROCESS IMPROVEMENT WITH DESIGNED
EXPERIMENTS /451
Chapter 11
The Fundamentals of Experimental
Design /453
11 1 WHAT IS EXPERIMENTAL DESIGN? /453
11 2 EXAMPLES OF EXPERIMENTAL DESIGN IN
QUALITY AND PROCESS IMPROVEMENT /455
11 3 EXPERIMENTS WITH ONE FACTOR /459
11 3.1 An Example /459
11 3.2 The Analysis of Variance /461
11 3.3 Residual Analysis /465
11 3.4 Comparison of Individual Means /468
11 3.5 A Components of Variance Model /469
11 4 BLOCKING AND NUISANCE FACTORS /472
11 4.1 The Randomized Block Design /472
11 4.2 Residual Analysis /476
11 5 GUIDELINES FOR DESIGNING
EXPERIMENTS /477
11 6 EXERCISES /479
Chapter 12
Factorial Experiments and Other Methods for
Process Improvement /483
12 1 FACTORIAL EXPERIMENTS /483
12 1.1 An Example /487
12 1.2 Statistical Analysis /488
12 1.3 Residual Analysis /492
12 2 THE 2* FACTORIAL DESIGN /494
12 2.1 The 22 Design /494
12 2.2 The 2* Design for k 3 Factors /501
12 2.3 A Single Replicate of the 2* Design /507
12 2.4 Blocking and Confounding in the 2k
Design /513
12 3 FRACTIONAL REPLICATION OF THE 2*
DESIGN /514
12 3.1 The One Half Fraction of the 2* /514
12 3.2 Smaller Fractions: The 2k~ Fractional
Factorial Design /520
12 4 RESPONSE SURFACE METHODS /528
12 5 TAGUCHI S CONTRIBUTIONS TO QUALITY
ENGINEERING /531
12 5.1 The Taguchi Philosophy /532
12 5.2 The Taguchi Approach to Parameter
Design /533
12 6 EXERCISES /544
PART IV
ACCEPTANCE SAMPLING /549
Chapter 13
Lot by Lot Acceptance Sampling for
Attributes /551
13 1 THE ACCEPTANCE SAMPLING
PROBLEM /551
13 1.1 Advantages and Disadvantages of
Sampling /553
13 1.2 Types of Sampling Plans /553
13 1.3 Lot Formation /554
13 1.4 Random Sampling /555
13 1.5 Guidelines for Using Acceptance
Sampling /556
13 2 SINGLE SAMPLING PLANS FOR
ATTRIBUTES /558
13 2.1 Definition of a Single Sampling Plan /558
13 2.2 The OC Curve /558
13 2.3 Designing a Single Sampling Plan with a
Specified OC Curve /565
13 2.4 Rectifying Inspection /566
13 3 DOUBLE, MULTIPLE, AND SEQUENTIAL
SAMPLING /57O
13 3.1 Double Sampling Plans /571
13 3.2 Multiple Sampling Plans /578
13 3.3 Sequential Sampling Plans /579
13 4 A LOT SENSITIVE COMPLIANCE (LTPD)
SAMPLING PLAN /582
13 5 MILITARY STANDARD 105D
(ANSI/ASQCZ1.4) /585
13 5.1 Description of the Standard /585
13 5.2 Procedure /587
13 5.3 Discussion /603
13 6 THE DODGE ROMIG SAMPLING PLANS /607
13 6.1 AOQL Plans /609
13 6.2 LTPD Plans /609
13 6.3 Estimation of Process Average /620
13 7 EXERCISES /620
Chapter 14
Acceptance Sampling by Variables /623
14 1 INTRODUCTION TO VARIABLES
SAMPLING /623
14 1.1 Advantages and Disadvantages of Variables
Sampling /623
14 1.2 Types of Sampling Plans Available /624
14 1.3 Caution in the Use of Variables
Sampling /626
14 2 DESIGNING A VARIABLES SAMPLING PLAN
WITH A SPECIFIED OC CURVE /626
14 3 MIL STD 414 (ANSI/ASQC Z1.9) /630
14 3.1 General Description of the Standard /630
14 3.2 Use of the Tables /631
14 3.3 Discussion of MIL STD 414 and ANSI/ASQC
Z1.9 /644
14 4 OTHER VARIABLES SAMPLING
PROCEDURES /646
14 4.1 Sampling by Variables to Give Assurance
Regarding the Lot or Process Mean /646
14 4.2 Sequential Sampling by Variables /647
14 4.3 The Lot Plot Method /647
14 4.4 Narrow Limit Gaging /648
14 5 EXERCISES /649
Chapter 15
Other Acceptance Sampling Procedures /651
15 1 CHAIN SAMPLING /651
15 2 CONTINUOUS SAMPLING /653
15 2.1 CSP 1 /654
15 2.2 CSP 2, CSP 3, and Multilevel Plans /658
15 2.3 MIL STD 1235B /661
15 3 SKIP LOT SAMPLING PLANS /662
15 4 CONSIDERATION OF INSPECTION
ERROR /666
15 5 ECONOMIC DESIGN OF
ACCEPTANCE SAMPLING PLANS /669
15 6 EXERCISES /673
Appendix /A 1
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
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 1
Answers to Selected Exercises /ANS 1
Index /I 1
|
| any_adam_object | 1 |
| author | Montgomery, Douglas C. 1943- |
| author_GND | (DE-588)12861448X |
| author_facet | Montgomery, Douglas C. 1943- |
| author_role | aut |
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| bvnumber | BV011208108 |
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| discipline | Mathematik Wirtschaftswissenschaften |
| edition | 2. ed. |
| format | Book |
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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 2. ed. New York u.a. Wiley 1991 txt rdacontent n rdamedia nc rdacarrier Calidad - Control - Métodos estadísticos 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 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007517666&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 Calidad - Control - Métodos estadísticos 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 | Calidad - Control - Métodos estadísticos Statistische Qualitätskontrolle (DE-588)4182962-1 gnd Qualitätskontrolle (DE-588)4047968-7 gnd |
| topic_facet | Calidad - Control - Métodos estadísticos Statistische Qualitätskontrolle Qualitätskontrolle Einführung |
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