Fundamentals of Industrial Quality Control

Fundamentals of Industrial Quality Control, Third Edition shows how the concept of "quality" can be validated with basic statistical methods. Even a statistical novice will understand the concepts that underlie quality control with the easy-to-understand discussions in this book. Numerous worked examples from manufacturing, service, and government illustrate practical applications for quality control. Each chapter includes practice sets for readers to test their comprehension of the material. It provides elementary explanations of complex statistical concepts and comprehensive probability tables.

Introduction ISO 9000 QS 9000 Quality System Requirements Malcolm Baldrige Award Quality Systems Conclusion References Descriptive Statistics Introduction The Nature of Descriptive Statistics Graphical Measures Graphical Methods Quantitative Descriptive Statistics Types of Data Summary Reference Practice Problems Probability Introduction Probablility Theorems Rules Counting Summary Practice Problems Probability Distributions Introduction Sample Probability Distribution Hypergeometric Distribution Binomial Distribution Poisson Distribution Normal Probability Distribution Summary Reference Practice Problems 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 Tests of Hypotheses Introduction Methodology Testing Various Hypotheses Test Statistic Recap Summary Practice Problems 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 Reference Practice Problems Process Capability Introduction Specifications Determining Process Capability Process Capability Indices for Variables Data Limitations of Capability Indices Summary Reference Practice Problems SPC for Continuous Quality Improvement Introduction SPC Models SPC Tools Summary 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 Inspection Costs Published Sampling PLans Summary Reference Practice Problems Reliability Introduction Measuring Reliability Series Reliability Parallel Reliability Some Special Cases Summary Practice Problems Answers to Selected Problems Index