# Error - Control Chart Methods for Individual Measurements...

This preview shows pages 1–9. Sign up to view the full content.

Control Chart Methods for Individual Measurements IE 330: Lecture 9 2/11/2008

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Outline Why not sample more? Shewart type charts Example: White millbase dispersion process Exponentially weighted moving average control charts
Why not sample more? (n=1)

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
X and R m Control Charts Idea: Calculate the range from consecutive individual measurements: usually n=2 or 3 R A x ULC x CL R A x LCL 2 2 + = = - = X i = 12 15 13 12 14 18 13 R1=3 R2=3 R3=1 R4=6
n should be small: Special causes might be present Most misused: Only use if samples cannot be formed. 1. Higher variability 2. Large sampling errors X and R m Control Charts

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Construction of Control Charts Center line
Construction of Control Charts m m m R D R R D 4 3 UCL CL LCL = = =

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Construction of Control Charts ) ( ˆ 2 n d R m = σ m R R m d R mn x m x X m i i m i k j ij m i i x ∑∑ = = = = = = = = = 1 2 1 1 1 ; ) ( ˆ ; ˆ μ R A x k d R x k x x x 2 2 / 3 ˆ 3 ˆ 3 ˆ ± ± ± ± ˆ 3 ± X Estimate variance UCL and LCL
This is the end of the preview. Sign up to access the rest of the document.

## This note was uploaded on 04/07/2008 for the course IE 330 taught by Professor Tezcan during the Spring '08 term at University of Illinois at Urbana–Champaign.

### Page1 / 28

Error - Control Chart Methods for Individual Measurements...

This preview shows document pages 1 - 9. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online