Statistical Process Control
eBook - ePub

Statistical Process Control

A Guide for Implementation

  1. 80 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Statistical Process Control

A Guide for Implementation

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About This Book

This guide aims to strip away the mystery surrounding statistical process control and to present its concepts and principles in as simple and straightforward a manner as possible. It is directed primarily at American business managers.

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Yes, you can access Statistical Process Control by Roger W. Berger,Thomas H. Hart in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Industrial & Technical Chemistry. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2020
ISBN
9781000146844
Edition
1
Topic
Physical Sciences
Subtopic
Industrial & Technical Chemistry

APPENDIX Control Chart Constants and Formulas

Numbers in parentheses( ) indicate page numbers where formula explanations are found in the text.
1. Factors to use with X and R Control Charts
n D3 D4 A2 d2
2 0 3.27 1.88 1.13
3 0 2.57 1.02 1.69
4 0 2.28 0.73 2.06
5 0 2.11 0.58 2.33
6 0 2.00 0.48 2.53
7 0.08 1.92 0.42 2.70
8 0.14 1.86 0.37 2 85
9 0 18 1.82 0.34 2.97
10 0.22 1.78 0.31 3.08
Factors to use with X and s Control Charts
n A3 B3 B4 C4
2 2.66 * 3.27 .798
3 1.95 * 2.57 .886
4 1.63 * 2.27 .921
5 1.43 * 2.09 .940
6 1.29 .03 1.97 .952
7 1.18 .12 1.88 .959
8 1.10 .19 1.82 .965
9 1.03 .24 1.76 .969
10 .98 .28 1.72 .973
  1. Formulas for X and R charts
    X = the sum of all readings in a sample divided by the number of readings in the sample
    R = the largest value in a sample minus the smallest value in (he sample
    X = the sum of all sample means (X's) divided by the number of samples taken
    R = the sum of all sample ranges (R's) divided by the number of samples taken X Chart Control Limits (p. 21)
    UCL = R + A2R
    LCL = X - A2R
  2. R Chart Control Limits (p. 22)
    UCL = D4R
    LCL = D3R
    σ̂ = R/d2 (p. 11)
    Capability study formulas for use with X and R charts For a more accurate σ̂ for use in estimating ± 3σ̂ population limits
σ^=nΣX,2−(ΣX,)2n(n−1)
  1. or, for small sample sizes of 4 or 5 use the σ obtained from R/d2 and use ±4σ̂ to estimate the population ± 3σ limits (p. 27)
  1. Formulas for use with s charts (p. 39)
s=ΣX12...

Table of contents

  1. Cover
  2. Half Title
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Preface
  7. Contents
  8. I. Statistical Process Control
  9. II. Statistical Concepts and Techniques Involved
  10. III. Process Capability
  11. IV. X̄ and R Charts
  12. V. SPC Program Development
  13. Appendix
  14. Index