SPC Methods for Quality Improvement
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SPC Methods for Quality Improvement

SPC Methods for Quality Improvement

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About the Book

In the last decade Statistical Process Control (SPC) methods have been employed as key determinants of quality assessment from both a management and a shop floor perspective. It has been found to be an excellent tool for streamlining a process to save time and money while producing a quality product. This text gives a firm foundation in the mathematical and statistical basis for SPC, whilst at the same time addressing the practical needs of both professionals and students. It covers the basics of SPC from a statistical/mathematical perspective and translates these concepts into real world applications. It also addresses cutting-edge technologies and how SPC fits into the manufacturing process to improve quality.

Table of Contents:
Introduction to Quality Control Concepts; Probability Distributions to Describe Variability in Data Sets; Collecting and Studying Data Sets: Descriptive Statistics and Sampling Distributions; Classical Shewhart Control Charts for Variables; Classical Shewhart Control Charts for Attributes; MA, EWMA, and CUSUM Charts for Classical Stable Processes; Q-Charts for Variables; Q-Charts for Attributes; Process Capability and Performance Analysis, Quadratic Loss Functions; Measurement Assurance; Regression SPC Models; Combining Statistical Process Control and Statistical Process Adjustment Methods; Some SPC Methods for Autocorrelated Processes; Q-Charts for Two or More Quality Variables; Appendix; References; Index.


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Product Details
  • ISBN-13: 9780471130871
  • Publisher: John Wiley and Sons Ltd
  • Publisher Imprint: John Wiley & Sons Inc
  • Height: 245 mm
  • Returnable: N
  • Width: 165 mm
  • ISBN-10: 0471130877
  • Publisher Date: 01 Apr 1997
  • Binding: Hardback
  • Language: English
  • Weight: 1170 gr


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