Description
Introduction to Statistical Quality Control 8th Edition by Douglas C. Montgomery, ISBN-13: 978-1119592785
[PDF eBook eTextbook] – Available Instantly
- Publisher: Wiley; 8th edition (August 8, 2019)
- Language: English
- 771 pages
- ISBN-10: 111959278X
- ISBN-13: 978-1119592785
Once solely the domain of engineers, quality control has become a vital business operation used to increase productivity and secure competitive advantage. Introduction to Statistical Quality Control offers a detailed presentation of the modern statistical methods for quality control and improvement. Thorough coverage of statistical process control (SPC) demonstrates the efficacy of statistically-oriented experiments in the context of process characterization, optimization, and acceptance sampling, while examination of the implementation process provides context to real-world applications. Emphasis on Six Sigma DMAIC (Define, Measure, Analyze, Improve and Control) provides a strategic problem-solving framework that can be applied across a variety of disciplines.
Adopting a balanced approach to traditional and modern methods, this text includes coverage of SQC techniques in both industrial and non-manufacturing settings, providing fundamental knowledge to students of engineering, statistics, business, and management sciences. A strong pedagogical toolset, including multiple practice problems, real-world data sets and examples, and incorporation of Minitab statistics software, provides students with a solid base of conceptual and practical knowledge.
Table of Contents:
COVER
ABOUT THE AUTHOR
PREFACE
INTRODUCTION
AUDIENCE
CHAPTER ORGANIZATION AND TOPICAL COVERAGE
NEW TO THIS EDITION
SUPPORTING TEXT MATERIALS
ACKNOWLEDGMENTS
PART 1: INTRODUCTION
CHAPTER 1: QUALITY IMPROVEMENT IN THE MODERN BUSINESS ENVIRONMENT
DISCUSSION QUESTIONS AND EXERCISES
STUDY GUIDE
READINGS
1.1 THE MEANING OF QUALITY AND QUALITY IMPROVEMENT
1.2 A BRIEF HISTORY OF QUALITY CONTROL AND IMPROVEMENT
1.3 STATISTICAL METHODS FOR QUALITY CONTROL AND IMPROVEMENT
1.4 MANAGEMENT ASPECTS OF QUALITY IMPROVEMENT
CHAPTER 2: THE DMAIC PROCESS
DISCUSSION QUESTIONS AND EXERCISES
STUDY GUIDE
READINGS
2.1 OVERVIEW OF DMAIC
2.2 THE DEFINE STEP
2.3 THE MEASURE STEP
2.4 THE ANALYZE STEP
2.5 THE IMPROVE STEP
2.6 THE CONTROL STEP
2.7 EXAMPLES OF DMAIC
PART 2: STATISTICAL METHODS USEFUL IN QUALITY CONTROL AND IMPROVEMENT
CHAPTER 3: MODELING PROCESS QUALITY
EXERCISES
STUDY GUIDE
READINGS
3.1 DESCRIBING VARIATION
3.2 IMPORTANT DISCRETE DISTRIBUTIONS
3.3 IMPORTANT CONTINUOUS DISTRIBUTIONS
3.4 PROBABILITY PLOTS
3.5 SOME USEFUL APPROXIMATIONS
CHAPTER 4: INFERENCES ABOUT PROCESS QUALITY
EXERCISES
STUDY GUIDE
READINGS
4.1 STATISTICS AND SAMPLING DISTRIBUTIONS
4.2 POINT ESTIMATION OF PROCESS PARAMETERS
4.3 STATISTICAL INFERENCE FOR A SINGLE SAMPLE
4.4 STATISTICAL INFERENCE FOR TWO SAMPLES
4.5 WHAT IF THERE ARE MORE THAN TWO POPULATIONS? THE ANALYSIS OF VARIANCE
4.6 LINEAR REGRESSION MODELS
PART 3: BASIC METHODS OF STATISTICAL PROCESS CONTROL AND CAPABILITY ANALYSIS
CHAPTER 5: METHODS AND PHILOSOPHY OF STATISTICAL PROCESS CONTROL
EXERCISES
STUDY GUIDE
READINGS
5.1 INTRODUCTION
5.2 CHANCE AND ASSIGNABLE CAUSES OF QUALITY VARIATION
5.3 STATISTICAL BASIS OF THE CONTROL CHART
5.4 THE REST OF THE MAGNIFICENT SEVEN
5.5 IMPLEMENTING SPC IN A QUALITY IMPROVEMENT PROGRAM
5.6 AN APPLICATION OF SPC
5.7 APPLICATIONS OF STATISTICAL PROCESS CONTROL AND QUALITY IMPROVEMENT TOOLS IN TRANSACTIONAL AND SERVICE BUSINESSES
CHAPTER 6: CONTROL CHARTS FOR VARIABLES
EXERCISES
STUDY GUIDE
READINGS
6.1 INTRODUCTION
6.2 CONTROL CHARTS FOR x ¯ AND R
6.3 CONTROL CHARTS FOR x ¯ AND s
6.4 THE SHEWHART CONTROL CHART FOR INDIVIDUAL MEASUREMENTS
6.5 SUMMARY OF PROCEDURES FOR x ¯ , R, AND s CHARTS
6.6 APPLICATIONS OF VARIABLES CONTROL CHARTS
CHAPTER 7: CONTROL CHARTS FOR ATTRIBUTES
EXERCISES
STUDY GUIDE
READINGS
7.1 INTRODUCTION
7.2 THE CONTROL CHART FOR FRACTION NONCONFORMING
7.3 CONTROL CHARTS FOR NONCONFORMITIES (DEFECTS)
7.4 CHOICE BETWEEN ATTRIBUTES AND VARIABLES CONTROL CHARTS
7.5 GUIDELINES FOR IMPLEMENTING CONTROL CHARTS
CHAPTER 8: PROCESS AND MEASUREMENT SYSTEM CAPABILITY ANALYSIS
EXERCISES
STUDY GUIDE
READINGS
8.1 INTRODUCTION
8.2 PROCESS CAPABILITY ANALYSIS USING A HISTOGRAM OR A PROBABILITY PLOT
8.3 PROCESS CAPABILITY RATIOS
8.4 PROCESS CAPABILITY ANALYSIS USING A CONTROL CHART
8.5 PROCESS CAPABILITY ANALYSIS USING DESIGNED EXPERIMENTS
8.6 PROCESS CAPABILITY ANALYSIS WITH ATTRIBUTE DATA
8.7 DESCRIBING CAPABILITY FOR MANY PROCESSES
8.8 GAUGE AND MEASUREMENT SYSTEM CAPABILITY STUDIES
8.9 SETTING SPECIFICATION LIMITS ON DISCRETE COMPONENTS
8.10 ESTIMATING THE NATURAL TOLERANCE LIMITS OF A PROCESS
PART 4: OTHER STATISTICAL PROCESS-MONITORING AND CONTROL TECHNIQUES
CHAPTER 9: CUMULATIVE SUM AND EXPONENTIALLY WEIGHTED MOVING AVERAGE CONTROL CHARTS
EXERCISES
STUDY GUIDE
READINGS
9.1 THE CUMULATIVE SUM CONTROL CHART
9.2 THE EXPONENTIALLY WEIGHTED MOVING AVERAGE CONTROL CHART
9.3 THE MOVING AVERAGE CONTROL CHART
CHAPTER 10: OTHER UNIVARIATE STATISTICAL PROCESS‐MONITORING AND CONTROL TECHNIQUES
EXERCISES
STUDY GUIDE
READINGS
10.1 STATISTICAL PROCESS CONTROL FOR SHORT PRODUCTION RUNS
10.2 MODIFIED AND ACCEPTANCE CONTROL CHARTS
10.3 CONTROL CHARTS FOR MULTIPLE-STREAM PROCESSES
10.4 SPC WITH AUTOCORRELATED PROCESS DATA
10.5 ADAPTIVE SAMPLING PROCEDURES
10.6 ECONOMIC DESIGN OF CONTROL CHARTS
10.7 CUSCORE CHARTS
10.8 THE CHANGEPOINT MODEL FOR PROCESS MONITORING
10.9 PROFILE MONITORING
10.10 CONTROL CHARTS IN HEALTH CARE MONITORING AND PUBLIC HEALTH SURVEILLANCE
10.11 OVERVIEW OF OTHER PROCEDURES
CHAPTER 11: MULTIVARIATE PROCESS MONITORING AND CONTROL
EXERCISES
STUDY GUIDE
READINGS
11.1 THE MULTIVARIATE QUALITY‐CONTROL PROBLEM
11.2 DESCRIPTION OF MULTIVARIATE DATA
11.3 THE HOTELLING T 2 CONTROL CHART
11.4 THE MULTIVARIATE EWMA CONTROL CHART
11.5 REGRESSION ADJUSTMENT
11.6 CONTROL CHARTS FOR MONITORING VARIABILITY
11.7 LATENT STRUCTURE METHODS
CHAPTER 12: ENGINEERING PROCESS CONTROL AND SPC
EXERCISES
STUDY GUIDE
READINGS
12.1 PROCESS MONITORING AND PROCESS REGULATION
12.2 PROCESS CONTROL BY FEEDBACK ADJUSTMENT
12.3 COMBINING SPC AND EPC
PART 5: PROCESS DESIGN AND IMPROVEMENT WITH DESIGNED EXPERIMENTS
CHAPTER 13: FACTORIAL AND FRACTIONAL FACTORIAL EXPERIMENTS FOR PROCESS DESIGN AND IMPROVEMENT
EXERCISES
STUDY GUIDE
READINGS
13.1 WHAT IS EXPERIMENTAL DESIGN?
13.2 EXAMPLES OF DESIGNED EXPERIMENTS IN PROCESS AND PRODUCT IMPROVEMENT
13.3 GUIDELINES FOR DESIGNING EXPERIMENTS
13.4 FACTORIAL EXPERIMENTS
13.5 THE 2k FACTORIAL DESIGN
13.6 FRACTIONAL REPLICATION OF THE 2k DESIGN
CHAPTER 14: PROCESS OPTIMIZATION WITH DESIGNED EXPERIMENTS
EXERCISES
STUDY GUIDE
READINGS
14.1 RESPONSE SURFACE METHODS AND DESIGNS
14.2 PROCESS ROBUSTNESS STUDIES
14.3 EVOLUTIONARY OPERATION
PART 6: ACCEPTANCE SAMPLING
CHAPTER 15: LOT‐BY‐LOT ACCEPTANCE SAMPLING FOR ATTRIBUTES
EXERCISES
STUDY GUIDE
READINGS
15.1 THE ACCEPTANCE‐SAMPLING PROBLEM
15.2 SINGLE‐SAMPLING PLANS FOR ATTRIBUTES
15.3 DOUBLE, MULTIPLE, AND SEQUENTIAL SAMPLING
15.4 MILITARY STANDARD 105E (ANSI/ASQC Z1.4, ISO 2859)
15.5 THE DODGE–ROMIG SAMPLING PLANS
CHAPTER 16: OTHER ACCEPTANCE‐SAMPLING TECHNIQUES
EXERCISES
STUDY GUIDE
READINGS
16.1 ACCEPTANCE SAMPLING BY VARIABLES
16.2 DESIGNING A VARIABLES‐SAMPLING PLAN WITH A SPECIFIED OC CURVE
16.3 MIL STD 414 (ANSI/ASQC Z1.9)
16.4 OTHER VARIABLES SAMPLING PROCEDURES
16.5 CHAIN SAMPLING
16.6 CONTINUOUS SAMPLING
16.7 SKIP‐LOT SAMPLING PLANS
APPENDIX
BIBLIOGRAPHY
INDEX
END USER LICENSE AGREEMENT
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