Statistical quality control:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York [u.a.]
McGraw-Hill
1996
|
| Ausgabe: | 7. ed., internat. ed. |
| Schriftenreihe: | McGraw-Hill series in industrial engineering and management science
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XIX, 764 S. Ill., graph. Darst. |
| ISBN: | 0070241627 |
Internformat
MARC
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| 100 | 1 | |a Grant, Eugene L. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Statistical quality control |c Eugene L. Grant ; Richard S. Leavenworth |
| 250 | |a 7. ed., internat. ed. | ||
| 264 | 1 | |a New York [u.a.] |b McGraw-Hill |c 1996 | |
| 300 | |a XIX, 764 S. |b Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a McGraw-Hill series in industrial engineering and management science | |
| 650 | 7 | |a Kwaliteitscontrole |2 gtt | |
| 650 | 7 | |a Qualité - Contrôle - Méthodes statistiques |2 ram | |
| 650 | 7 | |a Statistische methoden |2 gtt | |
| 650 | 4 | |a Quality control |x Statistical methods | |
| 650 | 0 | 7 | |a Statistische Qualitätskontrolle |0 (DE-588)4182962-1 |2 gnd |9 rswk-swf |
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| 700 | 1 | |a Leavenworth, Richard S. |e Verfasser |4 aut | |
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Datensatz im Suchindex
| _version_ | 1804125752609734656 |
|---|---|
| adam_text | CONTENTS
LIST OF EXAMPLES XV
PREFACE xvii
PART ONE INTRODUCTION 1
1 Introduction and Overview 3
1.1 The Meaning of Quality / 1.2 The Focus of This Book / 1.3 The Control Chart
Viewpoint / 1.4 Scientific Sampling / 1.5 Use of Examples / 1.6 Meanings and Usage
of the Words Defective and Defect / 1.7 Many Economy Studies Call for the Viewpoint of
Statistical Quality Control / 1.8 Statistical Quality Control May Have Useful By Products /
1.9 Reasons for the Use of the Adjective Statistical I 1.10 Four Different Levels of
Understanding Statistical Quality Control / 1.11 Nonmanufacturing Applications of
Statistical Quality Control Techniques / 1.12 Some Topics Covered in Part Four of This
Book
PART TWO STATISTICAL PROCESS CONTROL 35
2 Directions for Simple X and R Charts 37
2.1 Setting Up and Operating Control Charts for X and R I 2.2 Checklist of Necessary
Steps in Using Xand R Charts / 2.3 Some Comments on Computer Software for
Statistical Process Control / Problems
3 Why the Control Chart Works; Some Statistical Concepts 71
3.1 The Need for Understanding Statistical Principles / 3.2 Description of Patterns of
Variation / 3.3 Graphic Representation of a Frequency Distribution / 3.4 Averages and
Measures of Dispersion / 3.5 Sampling Statistics and Universe Parameters / 3.6 The
Normal Curve / 3.7 Other Frequency Curves / 3.8 What the Average and Standard
Deviation of a Set of Numbers Really Tell / Problems
IfcNTS
4 Why the Control Chart Works; Some Examples 117
4.1 The Use of Control Charts to Judge Whether or Not a Constant System of Chance
Causes Is Present / 4.2 Use of the Control Chart in Interpretation of a Frequency
Distribution / 4.3 Contribution of the Control Chart to Elimination of Causes of Trouble /
4.4 Changes in Universe Average / 4.5 Shift in Universe Dispersion with No Change in
Universe Average / 4.6 Changes in Universe Average and Universe Dispersion / 4.7 A
Possible View of the Question Answered by a Control Chart / 4.8 Nonproduct Applications
of Control Charts for Variables / 4.9 Conflicting Expressions for the Standard Deviation of
a Set of Numbers / Problems
5 Some Fundamentals of the Theory of Probability 163
5.1 Probability Has a Mathematical Meaning / 5.2 Modern Concepts of Probability
Theory / 5.3 Some Theorems of the Theory of Probability / 5.4 Infinite and Finite
Universes / 5.5 The Hypergeometric Probability Distribution / 5.6 The Binomial as a
Probability Distribution / 5.7 The Poisson Law as a Probability Distribution / 5.8 The
Normal Distribution / 5.9 Deciding on the Method to Be Used for Calculating Probabilities
in Industrial Sampling Problems / 5.10 Relationship between Control Charts and Certain
Other Statistical Techniques / 5.11 Random Variables / 5.12 Point Estimates and
Estimators / 5.13 The Problem of Selecting a Parameter to Describe Universe Dispersion
and of Choosing an Estimator for That Parameter / 5.14 Sampling from a Normal
Distribution / 5.15 Theory of Extreme Runs / Problems
6 The Control Chart for Fraction Rejected 223
6.1 Some Practical Limitations of Control Charts for Variables / 6.2 Control Charts for
Attributes / 6.3 The Control Chart for Fraction Rejected / 6.4 The Binomial as a
Probability Law That Determines the Fluctuations of Fraction Rejected / 6.5 Control Limits
for the p Chart / 6.6 Problems Introduced by Variable Subgroup Size / 6.7 Checklist of
Necessary Steps in Connection with Control Chart for Fraction Rejected / 6.8 Sensitivity
ofthepChart / 6.9 Nonproduct Applications of p and np Charts / 6.10 p Charts Are Not
Suitable for All Data on Fraction Rejected / Problems
7 The Control Chart for Nonconformities 260
7.1 The Place of the c Chart in Statistical Process Control / 7.2 Distinction between a
Nonconforming Article and a Nonconformity / 7.3 Limits for the c Chart Are Based on the
Poisson Distribution / 7.4 The Combination of Poisson Distributions / 7.5 Conditions
Favorable to the Economic Use of the Control Chart for Nonconformities / 7.6 Adaptations
of the c Chart to Variations in the Area of Opportunity for a Nonconformity / 7.7 Probability
Limits for c and u Charts / 7.8 The u Chart for Nonconformities per Multiple Units /
7.9 Listing Individual Nonconformities on the Form Containing a cor uChart / 7.10 The
Introduction of a Control Chart May Motivate Quality Improvement / 7.11 Classification of
Nonconformities and Their Weighting / 7.12 O Charts for Quality Scores and D Charts for
Demerit Classifications / 7.13 Use of 3Vc for Approximate Calculation of Control Limits in
Situations Involving the Binomial Distribution / 7.14 Applicability of c Chart Technique in
Fields Other Than Statistical Process Control / Problems
CONTENTS Xi
8 Rational Subgrouping 289
8.1 The Information Given by the Control Chart Depends on the Basis Used for Selection
of Subgroups / 8.2 Two Schemes Involving Order of Production as a Basis for
Subgrouping / 8.3 Question Addressed by the Shewhart Control Chart / 8.4 Sources
of Variability / 8.5 Order of Production Is Not Always a Sufficient Basis for Subgrouping /
8.6 Need for Discrimination in the Selection of Subgroups / 8.7 Identification on a Control
Chart of Different Sources of Subgroups / 8.8 Precision, Reproducibility, and Accuracy of
Methods of Measurement / 8.9 Relationship between the Variability of Measured Values
and the Precision of the Method of Measurement / Problems
9 Statistical Analysis of Process Capability and for Process Improvement 313
9.1 Process Capability as a Step toward Process Improvement / 9.2 Process Capability
and Performance Indexes / 9.3 Quality by Design: Design and Inspection Specifications /
9.4 Statistical Methods May Help in Setting Better Specification Limits / 9.5 Some
Common Methods of Interpretation of a Pilot Run as a Basis for Setting Tolerances /
9.6 Two Statistical Theorems of Great Importance in the Interrelationship of Tolerances /
9.7 Experimentation / Problems
10 Some Special Process Control Procedures 362
10.1 Some Miscellaneous Topics / 10.2 Some Special Topics on Shewhart Control Charts
for Variables / 10.3 Some Related Special Procedures / 10.4 A General Test for
Homogeneity / 10.5 Probability Limits on Control Charts for Variables / 10.6 Control
Charts for Moving Averages / 10.7 X Chart with a Linear Trend / 10.8 Narrow Limit
Gaging / 10.9 Working with Short Production Runs / 10.10 A Success Chart for
Production Runs of Extremely High Quality / 10.11 Combining Process Control and
Product Acceptance / 10.12 Cumulative Sum Control Chart for Averages / Problems
PART THREE SCIENTIFIC SAMPLING 423
11 Some Fundamental Concepts in Scientific Sampling 425
11.1 The Importance of Sampling / 11.2 Some Weaknesses of Certain Traditional
Practices in Acceptance Sampling / 11.3 Purpose of This Chapter / 11.4 Lot by Lot
Acceptance Using Single Sampling by Attributes / 11.5 OC Curve of an Ideal Sampling
Plan / 11.6 The Indexing of Acceptance Plans by a Single Point on the OC Curve /
11.7 Average Outgoing Quality and the AOQL / 11.8 Double Sampling / 11.9 Choosing a
Sampling Plan to Minimize Average Total Inspection / 11.10 Multiple and Sequential
Sampling / 11.11 Randomness in Acceptance Sampling / Problems
12 An AQL System for Lot by Lot Acceptance Sampling by Attributes 463
12.1 Selecting an Acceptance Inspection Procedure / 12.2 A Historical Note Regarding
Acceptance Sampling Systems Based on the AQL Concept / 12.3 Some Decisions Made
in the Original Establishment of the AQL as a Quality Standard / 12.4 Some Aspects of
the Master Tables Reproduced from the ABC Standard / 12.5 Determining the Sample
INTENTS
Size Code Letter / 12.6 OC Curves under Normal, Tightened, and Reduced Inspection /
12.7 Single, Double, and Multiple Sampling Plans in AQL Systems / 12.8 Classification of
Defects / 12.9 The Formation of Inspection Lots / 12.10 Acceptance Based on Numbers
of Defects / 12.11 A Systematic Record of Quality History Is an Important Aspect of
Statistical Acceptance Procedures / 12.12 Selecting an Acceptance Plan for an Isolated
Lot / 12.13 Importance of AOQL Values in Sampling Plans Based on the AQL / Problems
13 Other Procedures for Acceptance Sampling by Attributes 504
13.1 Two Useful Volumes of Standard Tables / 13.2 The Dodge Romig Tables /
13.3 Some Reasons for Not Basing a Quality Standard on a Provision for Screening
Inspection / 13.4 Designing Single Sampling Plans for Stipulated Producer s and
Consumer s Risks / 13.5 A Simple AQL System Proposed by Dodge / 13.6 Design
of a Sequential Plan Having an OC Curve Passing through Two Designated Points /
13.7 Dodge s Chain Sampling Inspection Plan / Problems
14 Systems for Acceptance Sampling from Continuous Production 542
14.1 Dodge s AOQL Plan for Continuous Production—CSP 1 / 14.2 Multilevel
Continuous Sampling Plans (CSP M) / 14.3 The MIL STD 1235 System for Sampling
from Continuous Production / 14.4 AOQ Functions of Some Continuous Sampling
Schemes / 14.5 Skip Lot Sampling / 14.6 Further Comment on Continuous Sampling
Plans / 14.7 Unique Features of CSP Plans as Guides for SPC Sampling / Problems
15 Systems for Acceptance Sampling by Variables 559
15.1 Some Advantages and Limitations of Acceptance Sampling by Variables /
15.2 Some Different Types of Acceptance Criteria Involving Variables / 15.3 Using
Plotted Frequency Distributions in Acceptance Sampling / 15.4 Use of Control Charts to
Identify Grand Lots / 15.5 Computing the OC Curve for a Known Sigma Variables
Sampling Plan Based on the Assumption of a Normal Distribution / 15.6 Some General
Aspects of Military Standard 414 / 15.7 Numerical Data to Illustrate Normal Inspection
under MIL STD 414 / 15.8 Tightened Inspection in MIL STD 414 / 15.9 Reduced
Inspection in MIL STD 414 / 15.10 An Upper Specification Limit in MIL STD 414 /
15.11 Two Sided Specifications in MIL STD 414 / 15.12 The Relationship among Sample
Sizes under the Standard Deviation Method, the Range Method, and the Procedures
Assuming Known Variability / 15.13 Some Comments on Table 15.4 / 15.14 The Choice
between Unknown Sigma and Known Sigma Plans / 15.15 Some Sources of OC Curves
for Variables Plans Based on the Assumption of Normality / 15.16 Comment on the
Assumption of a Normal Distribution in Known Sigma and Unknown Sigma Plans /
15.17 Acceptance/Rejection Plans May Be Devised to Accept on Variables Criteria but
to Reject Only on Attributes Criteria / 15.18 International and Commercial Standards
Corresponding to MIL STD 414 / Problems
16 Some Aspects of Life Testing and Reliability 602
16.1 Purpose of This Chapter / 16.2 A Conventional Model of the Probability of
Equipment Failure / 16.3 Some Modern Definitions of Reliability / 16.4 The Relationship
between a Constant Failure Rate and Mean Life or Mean Time between Failures /
16.5 An Experiment to Illustrate Certain Aspects of a Constant Failure Rate /
CONTENTS XJii
16.6 The Exponential Reliability Function That Results from the Assumption of a Constant
Failure Rate / 16.7 Principal U.S. Government Documents That Treat Life Testing under
the Assumption of a Constant Failure Rate / 16.8 The Broad General Usefulness of
Sampling and Testing Standards / Problems
PART FOUR SOME RELATED TOPICS 629
17 Some Economic Aspects of Quality Decisions 631
17.1 Problems of Business Alternatives Are Problems in Economy / 17.2 Some Basic
Concepts in Engineering Economy / 17.3 Three General Classes of Consequences
That Should Be Recognized in Making Certain Quality Decisions / 17.4 Taguchi s
Loss Function / 17.5 Some Economic Aspects of the Margin of Safety in Design
Specifications / 17.6 Some Special Difficulties of Estimating Indirect Costs in Economy
Studies / 17.7 Did It Pay to Use Statistical Quality Control? / 17.8 The Increasing
Importance of Costs Related to Product Liability / Problems
18 Some Significant Events in the Development of Statistical Quality Control 655
18.1 Quality and Standardization / 18.2 The Two Architects of Statistical Quality Control /
18.3 Quality Assurance Science and World War II / 18.4 Japan s Recovery as a World
Class Industrial Power / 18.5 The Quality Cultural Revolution in the United States /
18.6 U.S. Awards for Quality and Productivity Improvement / 18.7 Quality System
Standards and Standardization / 18.8 An Apology to Those Not Mentioned
19 Models for Quality Management and Problem Solving 669
19.1 Evolution of the Quality Wheel / 19.2 Names Used to Describe the Quality
Management Movement / 19.3 The Baldrige Criteria as a Quality Management Model /
19.4 Comparing the Baldrige Criteria and ISO 9000 Requirements / 19.5 Problem Solving
Models Compared to Management Models / 19.6 The Seven Basic Tools of Statistical
Process Control / 19.7 Tracking and Celebrating Quality
20 Demonstrating the Operation of Systems of Chance Causes 690
20.1 Use of Group Experiments in Introducing the Subjects of Control Charts and
Acceptance Sampling Procedures / 20.2 Demonstrating Frequency Distributions and
Control Charts for Variables / 20.3 Demonstrating Acceptance Sampling by Attributes /
20.4 Deming s Red Bead Experiment
APPENDIXES 697
1 Glossary of Symbols 697
2 Bibliography 706
3 Tables 713
NAME INDEX 751
SUBJECT INDEX 755
|
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| dewey-search | 658.5/62/015195 |
| dewey-sort | 3658.5 262 515195 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| edition | 7. ed., internat. ed. |
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| id | DE-604.BV011250260 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T18:06:33Z |
| institution | BVB |
| isbn | 0070241627 |
| language | English |
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| series2 | McGraw-Hill series in industrial engineering and management science |
| spelling | Grant, Eugene L. Verfasser aut Statistical quality control Eugene L. Grant ; Richard S. Leavenworth 7. ed., internat. ed. New York [u.a.] McGraw-Hill 1996 XIX, 764 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier McGraw-Hill series in industrial engineering and management science Kwaliteitscontrole gtt Qualité - Contrôle - Méthodes statistiques ram Statistische methoden gtt Quality control Statistical methods Statistische Qualitätskontrolle (DE-588)4182962-1 gnd rswk-swf Qualitätskontrolle (DE-588)4047968-7 gnd rswk-swf Statistische Qualitätskontrolle (DE-588)4182962-1 s DE-604 Qualitätskontrolle (DE-588)4047968-7 s 1\p DE-604 Leavenworth, Richard S. Verfasser aut HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007551860&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 | Grant, Eugene L. Leavenworth, Richard S. Statistical quality control Kwaliteitscontrole gtt Qualité - Contrôle - Méthodes statistiques ram Statistische methoden gtt 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 |
| title | Statistical quality control |
| title_auth | Statistical quality control |
| title_exact_search | Statistical quality control |
| title_full | Statistical quality control Eugene L. Grant ; Richard S. Leavenworth |
| title_fullStr | Statistical quality control Eugene L. Grant ; Richard S. Leavenworth |
| title_full_unstemmed | Statistical quality control Eugene L. Grant ; Richard S. Leavenworth |
| title_short | Statistical quality control |
| title_sort | statistical quality control |
| topic | Kwaliteitscontrole gtt Qualité - Contrôle - Méthodes statistiques ram Statistische methoden gtt Quality control Statistical methods Statistische Qualitätskontrolle (DE-588)4182962-1 gnd Qualitätskontrolle (DE-588)4047968-7 gnd |
| topic_facet | Kwaliteitscontrole Qualité - Contrôle - Méthodes statistiques Statistische methoden Quality control Statistical methods Statistische Qualitätskontrolle Qualitätskontrolle |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007551860&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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