Lawrence S. Aft

Fundamentals of Industrial Quality Control (eBook, PDF)

• Format: PDF

Produktbeschreibung

"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.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 336
• Erscheinungstermin: 20. April 2018
• Englisch
• ISBN-13: 9781351446518
• Artikelnr.: 56887772

Autorenporträt

Aft, Lawrence S.

Inhaltsangabe

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