Fundamentals of Industrial Quality Control

 
 
CRC Press
  • 3. Auflage
  • |
  • erschienen am 20. April 2018
  • |
  • 336 Seiten
 
E-Book | ePUB ohne DRM | Systemvoraussetzungen
978-1-351-44650-1 (ISBN)
 
"Quality" is the latest buzz word in business and industry-quality control, quality assurance, quality improvement, and quality systems. But what does quality mean to you? Fundamentals of Industrial Quality Control, Third Edition shows how the concept of "quality" can be validated with basic statistical methods.
3. Auflage
  • Englisch
  • Boca Raton
  • |
  • USA
Taylor & Francis Ltd
  • Für Beruf und Forschung
  • Neue Ausgabe
330 equations, 54 schwarz-weiße Tabellen
  • 10,47 MB
978-1-351-44650-1 (9781351446501)
weitere Ausgaben werden ermittelt
  • Cover
  • Title Page
  • Copyright Page
  • Preface
  • Table of Contents
  • Chapter 1: Introduction
  • Introduction
  • ISO 9000
  • QS-9000 Quality System Requirements
  • Malcolm Baldrige Award
  • Quality Systems
  • Conclusion
  • References
  • Chapter 2: Descriptive Statistics
  • Introduction
  • The Nature of Descriptive Statistics
  • Graphical Measures
  • Graphical Methods
  • Quantitative Descriptive Statistics Definitions
  • Types of Data
  • Summary
  • Reference
  • Practice Problems
  • Chapter 3: Probability
  • Introduction
  • Probability Theorems
  • Rules
  • Counting
  • Summary
  • Practice Problems
  • Chapter 4: Probability Distributions
  • Introduction
  • Sample Probability Distribution
  • Hypergeometric Distribution
  • Binomial Distribution
  • Poisson Distribution
  • Normal Probability Distribution
  • Summary
  • References
  • Practice Problems
  • Chapter 5: Confidence Intervals
  • Introduction
  • Confidence
  • Introduction to Confidence Intervals
  • Confidence Intervals for Means
  • Confidence Intervals for Proportions
  • Confidence Intervals for Standard Deviations
  • Confidence Interval Recap
  • Summary
  • Practice Problems
  • Chapter 6: Tests of Hypotheses
  • Introduction
  • Methodology
  • Testing Various Hypotheses
  • Test Statistic Recap
  • Summary
  • Practice Problems
  • Chapter 7: Control Charts
  • introduction
  • Variability
  • Control Charts for Variables
  • Construction and Use of Control Charts
  • Additional Out of Control Indications
  • Significance of the Control Chart Constants
  • Control Charts for Individuals and Moving Ranges
  • Control Charts for Averages and Standard Deviations
  • Control Charts for Attributes
  • u Charts
  • c Charts
  • p Charts
  • np Charts
  • Cumulative Sum Control Charts
  • Summary
  • References
  • Practice Problems
  • Chapter 8: Process Capability
  • Introduction
  • Specifications
  • Determining Process Capability
  • Process Capability Indices for Variables Data
  • Limitations of Capability Indices
  • Summary
  • Reference
  • Practice Problems
  • Chapter 9: SPC for Continuous Quality Improvement
  • Introduction
  • SPC Model
  • SPC Tools
  • Summary
  • Chapter 10: Acceptance Sampling
  • Introduction
  • Sampling Risks
  • Operating Characteristic Curves
  • Sampling Probabilities
  • Double Sample Sampling Plans
  • OC Curves for Double Sample Sampling Plans
  • Comparison of Sampling Plans
  • Inspection Costs
  • Published Sampling Plans
  • Summary
  • References
  • Practice Problems
  • Chapter 11: Reliability
  • Introduction
  • Measuring Reliability
  • Series Reliability
  • Parallel Reliability
  • Some Special Cases
  • Summary
  • Practice Problems
  • Appendix
  • Answers to Selected Problems
  • Table A: Binomial Distribution
  • Table B: Exact Poisson Probabilities
  • Table C: Standard Normal Curve Probabilities
  • Table D: Exponential Distribution
  • Table E: Studenfs Distribution: Selected Probabilities
  • Table F: Chi-Square Distribution
  • Table G: Values of F
  • Table H: Shewhart Control Chart Constant Table
  • Table I: Poisson Distribution: Selected Probabilities
  • Index

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