Fundamentals of Industrial Quality Control

by Lawrence S. Aft

Overview

"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.

Product Details

ISBN-13:	9781351446501
Publisher:	Taylor & Francis
Publication date:	04/20/2018
Sold by:	Barnes & Noble
Format:	eBook
Pages:	336
File size:	11 MB
Note:	This product may take a few minutes to download.

About the Author

Aft, Lawrence S.

Table of Contents

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

Editorial Reviews

The third edition shows how the concept of quality can be validated with basic statistical methods. Topics include statistics and ISO 9000; criteria measurements and the Baldridge award; graphical measures and methods; types of data; probability theorems; sample probability distribution; hypergeometric distribution; binomial distribution; Poisson distribution; and normal probability distribution. For students in industrial engineering technology and quality assurance programs; industrial engineers; quality technicians and engineers; and mechanical inspectors. Annotation c. by Book News, Inc., Portland, Or.

Booknews