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What shift from the target do you want to be able to detect?

INSTRUCTIONS TO CANDIDATES
ANSWER ALL QUESTIONS

A. PRACTICE A1. CUSUM chart:

. What shift from the target do you want to be able to detect?

This shift is usually ½ or 1 standard deviation of the parameter being plotted. This shift is often referred to as the “allowable slack” in the process.

A CUSUM control chart then tracks the deviations from the target. If a sample result is within the allowable slack, the process is considered to be operating on target. If a sample result is beyond the allo wable slack, the process is considered to be operating off target.

Definition: 𝐢𝑖 = Σ𝑖 (π‘₯𝑖 − πœ‡0)

j=1

𝐢𝑖 = Σ𝑖 (π‘₯𝑖 − πœ‡0) = (π‘₯𝑖 − πœ‡0) + Σ𝑖−1 (π‘₯𝑖 − πœ‡0) = (π‘₯𝑖 − πœ‡0) + 𝐢𝑖−1

j=1 𝑗= 1

Upper and Lower statistics

𝐢𝑖+ = max [ 𝟎, (π‘₯𝑖 − πœ‡0) + 𝐢𝑖−1 ] [ Upper Cusum statistic]

𝐢𝑖− = max[ 0, −(π‘₯𝑖 − πœ‡0) + 𝐢𝑖−1 ] [Lower Cusum statistic]

𝐢0+ = 𝐢0− = 0

𝐢𝑖 + , 𝐢𝑖 − measure the deviations from the target.(positive and negative)

π‘†β„Žπ‘–π‘“π‘‘ π‘œπ‘“ πœ‡ π‘“π‘Ÿπ‘œπ‘š πœ‡0 π‘‘π‘œ πœ‡1: πœ‡1 = πœ‡0 + π›ΏπœŽ = > 𝛿 = (πœ‡1 − πœ‡0)/𝜎

π΄π‘™π‘™π‘œπ‘€π‘Žπ‘π‘™π‘’ π‘†π‘™π‘Žπ‘π‘˜: 𝐾 = ( 𝛿) 𝜎 (π‘Žπ‘™π‘™π‘œπ‘€π‘Žπ‘π‘™π‘’ π‘ π‘™π‘Žπ‘π‘˜) = (πœ‡1 − πœ‡0) ; 𝐾 = π‘˜πœŽ     2 2

π·π‘’π‘π‘–π‘ π‘–π‘œπ‘› πΌπ‘›π‘‘π‘’π‘Ÿπ‘£π‘Žπ‘™: 𝐻 = 4𝜎 π‘œπ‘Ÿ 5𝜎 ; 𝐻 = β„ŽπœŽ

Upper and Lower statistics

𝐢𝑖+ = max [ 𝟎, (π‘₯𝑖 − (πœ‡0 + 𝐾) ) + 𝐢𝑖−1 ] [ Upper Cusum statistic]

𝐢𝑖− = max[ 0, −(π‘₯𝑖 − (πœ‡0 + 𝐾) ) + 𝐢𝑖−1 ] [Lower Cusum statistic]

Note: There are 2 Cusum charts, plotted together

> library(SixSigma)

> data("ss.data.thickness2")

> head(ss.data.thickness2)

day shift thickness ushift flaws 1 1 1 0.713 1.1 9

2 1 1 0.776 1.1 NA

3 1 1 0.743 1.1 NA

4 1 1 0.713 1.1 NA

5 1 1 0.747 1.1 NA

6 1 1 0.753 1.1 NA

 

 

# CUSUM chart[detecting shifts in the sample means]

> thickness.cusum <- cusum(thickness, nsigmas=3)

> summary(thickness.cusum) Call:

cusum(data = thickness, nsigmas = 3) cusum chart for thickness

Summary of group statistics:

Min. 1st Qu. Median Mean 3rd Qu. Max. 0.6770 0.7395 0.7535 0.7585  0.7780 0.8220

Group sample size: 1

Number of groups: 84

Center of group statistics: 0.7585238

Standard deviation: 0.02314577

Decision interval (std.err.): 5 Shift detection (std. err.): 1

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