Author/Authors :
Khoo, M i c h a e l B.C. University Science of Malaysia - School of Mathematical Sciences, Malaysia , Sim, J.N. University Science of Malaysia - School of Mathematical Sciences, Malaysia
Abstract :
The S^2 control chart is often used in the monitoring of shifts in the process variance. The S^2 chart is quick in detecting big shifts but is less sensitive to small shifts. This paper aims at increasing the sensitivity of the S^2 chart in the detection of small shifts while maintaining its sensitivity towards big shifts. Numerous runs rules schemes will be considered and incorporated into the conventional S2 chart. The suggested approach involves a simple transformation of the S^2 statistic which does not complicate the application of the chart by industrial practitioners and engineers.
Keywords :
S^2 chart , runs rules , process variance , Markov chain , Type , I error , average run length , out , of , control , in , control