Process Monitoring and Improvement Handbook

Name: Process Monitoring and Improvement Handbook
Brand: ASQ Quality Press
Price: 73.49 EUR
Availability: OnlineOnly

Manuel E. Peña-Rodríguez(Autor*in)

ASQ Quality Press

2. Auflage

Erschienen am 27. August 2018

209 Seiten

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978-1-953079-07-7 (ISBN)

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Inhalt

Cover
Title page
CIP data
Table of Contents
List of Figures and Tables
Preface
Chapter 1: Importance of Process Monitoring and Improvement
1.1 PROCESS MONITORING AND IMPROVEMENT WITHIN THE ISO STANDARDS
1.2 PROCESS MONITORING AND IMPROVEMENT WITHIN THE CODE OF FEDERAL REGULATIONS
1.2.1 Current Good Manufacturing Practices(21 CFR 211)
1.2.2 Quality System Regulation (21 CFR 820)
1.3 SUMMARY
NOTES
Chapter 2: Different Approaches for Process Monitoring and When to Use Them
2.1 OVERVIEW
2.2 REPRESENTATIVE SAMPLES
2.3 SAMPLING VERSUS STATISTICALPROCESSCONTROL
2.4 RECOMMENDED APPROACHES AT VARIOUS STAGES
2.4.1 Incoming Inspection
2.4.2 In-ProcessInspection
2.4.3 Final Inspection
2.5 OTHER SAMPLING APPROACHES FOR INCOMING INSPECTION
2.6 SUMMARY
NOTES
Chapter 3: Process Variation
3.1 OVERVIEW
3.2 THE CAUSES OF VARIATION
3.3 SUMMARY
NOTE
Chapter 4: Basic Principles of Statistics
4.1 OVERVIEW
4.2 TYPES OF DATA
4.3 SAMPLES COLLECTION AND SAMPLE SIZE CALCULATION
4.4 DESCRIBING THE SAMPLE
4.5 THE NORMAL DISTRIBUTION
4.6 SUMMARY
Chapter 5: Graphical Tools
5.1 OVERVIEW
5.2 HISTOGRAM
5.3 BOX PLOT
5.4 DOT PLOT
5.5 PARETO DIAGRAM
5.6 SCATTER PLOT
5.7 RUN CHART
5.8 NORMALITY TEST
5.9 THE IMPORTANCE OF ASSESSING NORMALITY
5.10 SUMMARY
NOTE
Chapter 6: Measurement Systems Analysis
6.1 OVERVIEW
6.2 METRICS
6.3 PERFORMING A GAGE R&R
6.4 SUMMARY
Chapter 7: Process Capability
7.1 OVERVIEW
7.2 PROCESS CAPABILITY AND PROCESS PERFORMANCE INDICES
7.3 HOW TO INTERPRET THE PROCESS CAPABILITY AND PROCESS PERFORMANCE INDICES
7.4 PROCESSCAPABILITY ANALYSIS FOR NONNORMAL DATA
7.5 PERFORMING A PROCESSCAPABILITY ANALYSIS
7.6 SUMMARY
Chapter 8: Hypothesis Testing
8.1 OVERVIEW
8.2 COMPARING MEANS
8.2.1 One-Samplet-Test
8.2.2 Two-Samplet-Test
8.2.3 One-WayANOVA Test
8.2.4 Two-WayANOVA Test
8.3 COMPARING MEDIANS
8.3.1 One-SampleSign Test
8.3.2 Two-SampleMann-WhitneyTest
8.3.3 Kruskal-WallisTest
8.4 COMPARING VARIANCES
8.4.1 F-Test
8.4.2 Bartlett Test
8.4.3 Levene Test
8.5 SUMMARY
Chapter 9: Regression Analysis
9.1 OVERVIEW
9.2 LEAST SQUARES METHOD
9.3 REGRESSION METRICS
9.4 RESIDUALS ANALYSIS
9.5 SIMPLELINEAR REGRESSION
9.6 MULTIPLE LINEAR REGRESSION
9.7 SUMMARY
Chaper 10: Design of Experiments
10.1 OVERVIEW
10.2 DESIGN OF EXPERIMENTSTERMINOLOGY
10.3 FULL FACTORIAL EXPERIMENTS
10.4 FRACTIONAL FACTORIAL EXPERIMENTS
10.5 BLOCKING
10.6 REPETITION AND REPLICATION
10.7 EXPERIMENTAL STRATEGY
10.8 DESIGN OF EXPERIMENTS EXAMPLE: TWO LEVELS, TWO FACTORS
10.9 SUMMARY
Chapter 11: Control Charts
11.1 OVERVIEW
11.2 THE RATIONAL SUBGROUP
11.3 NONRANDOM PATTERNS
11.4 VARIABLES CONTROL CHARTSAND ATTRIBUTES CONTROL CHARTS
11.5 VARIABLES CONTROL CHARTS
11.5.1 Individuals and Moving Range Chart
11.5.2 + and R Chart
11.5.3 + and s Chart
11.6 ATTRIBUTES CONTROL CHARTS
11.6.1 p Chart
11.6.2 np Chart
11.6.3 c Chart
11.6.4 u Chart
11.7 APPLICATION OF CONTROL CHARTS TO IDENTIFY IMPROVEMENTS IN THE PROCESS
11.8 SUMMARY
Chapter 12: Afterword
12.1 OVERVIEW
12.2 ORDER OF TOOLS
12.3 PROACTIVE OR REACTIVE?
12.4 NEXT STEPS
NOTES
Appendix A: Variable and Attribute Data Applications
Appendix B: Applications for Various Graphical and Statistical Tools
Appendix C: Most Commonly Used Hypothesis Tests
Index

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