3rd Edition

Fundamentals of Industrial Quality Control

By Lawrence S. Aft Copyright 1998

    "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.

    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

    Biography

    Aft, Lawrence S.