Abstract
This research suggests a Distance Weighted Mean (DWM) based control chart under normal distribution implementing Simple Random Sampling (SRS). The control limits are calculated using the quantile point method. The control chart's performance is assessed using the Average Run Length (ARL) statistic. The numerical findings are illustrated using samples of sizes 3 and 5. The ARL1 values are determined using Monte Carlo Simulation for increasing and decreasing shifts in the location parameter ranging from 5% to 30%. Using the ARL1 measurement, the proposed DWM control charts are compared to the existing Shewhart control charts. According to the comparison analysis, the suggested DWM control chart surpasses the competing Shewhart control chart. The real-life application of the proposed DWM control chart is also shown by using the lifetime of the light bulb (in hours). The results suggest that the proposed DWM control chart can be a useful tool for monitoring process mean shifts, especially when the sample size is large, and the magnitude of the shift is significant.
Reference16 articles.
1. Abbas, N., Riaz, M., & Does, R. J. M. M. (2012). CS-EWMA chart for monitoring process dispersion. Quality and Reliability Engineering International, 29(5), 653–663. https://doi.org/10.1002/qre.1414
2. Aczel, A. D. (1989). Complete business statistics. Irwin.
3. Ali, S., Ahmed, N., Shah, I., Lone, S. A., & Alsubie, A. (2021). Absolute deviation-based control charts for monitoring mean of Weibull distribution with type-I censoring. IEEE Access, 9, 107519-107547. https://ieeexplore.ieee.org/abstract/document/9500210/
4. Butt, M. M., & Raza, S. M. M. (2017). The optimization of design of EWMA control chart using Box-Behnken method under type I censoring. Journal of Statistics, 24(1), 133-149. https://www.gcu.edu.pk/pages/gcupress/statJournal/volumes/Vol-24-2017/10.pdf
5. Castagliola, P., Amdouni, A., Taleb, H., & Celano, G. (2015). One-sided Shewhart-type charts for monitoring the coefficient of variation in short production runs. Quality Technology & Quantitative Management, 12(1), 53-67. https://doi.org/10.1080/16843703.2015.11673366
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献