Asymmetric Control Limits for Weighted-Variance Mean Control Chart with Different Scale Estimators under Weibull Distributed Process

Shewhart charts are the most commonly utilised control for process monitoring in industries with assumption that underlying distribution of quality characteristic is normal. However, this may not always hold true practice. In paper, weighted-variance mean developed and their population standard deviation estimated using three subgroup scale estimators, namely deviation, median absolute trimmed Weibull distributed data different coefficients skewness. This study aims to compare out-of-control average run length these pre-determined fixed value in-control ARL terms skewness sample sizes via extensive simulation studies. The results indicate as increase, tend detect signal more rapidly under identical magnitude shift. Meanwhile, size shift increases same coefficient skewness, proposed able locate shifts quicker similar scenarios arise a raised from 5 10. A real set survival analysis domain which, possessing distribution, was demonstrate usefulness applicability chart