
Fundamentals of Industrial Quality Control
Lawrence S. Aft(Author)
CRC Press
3rd Edition
Published on 29. December 1997
Book
Hardback
336 pages
978-1-57444-151-2 (ISBN)
Description
"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.
More details
Edition
3rd edition
Language
English
Place of publication
Bosa Roca
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Professional and scholarly
Professional and Professional Practice & Development
Illustrations
54 s/w Tabellen
54 Tables, black and white
Dimensions
Height: 235 mm
Width: 157 mm
Thickness: 23 mm
Weight
641 gr
ISBN-13
978-1-57444-151-2 (9781574441512)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Lawrence S. Aft
Fundamentals of Industrial Quality Control
E-Book
04/2018
3rd Edition
CRC Press
€158.99
Available for download

Lawrence S. Aft
Fundamentals of Industrial Quality Control
E-Book
04/2018
3rd Edition
CRC Press
€158.99
Available for download
Previous edition
Lawrence S. Aft
Fundamentals of Industrial Quality Control
Book
01/1986
Addison Wesley
€35.72
Article exhausted; check for reprint
Person
Aft, Lawrence S.
Content
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