article Open Access
Bayesian approach to control charts for process precision
International Journal of Statistics and Applied Mathematics · 2023 · Vol. 8(6) · pp. 30–40
Sharada V. Bhat✉(Karnatak University)Chetan Malagavi(Karnatak University)
Abstract
Monitoring process variation is essential to maintain quality of certain product in manufacturing industry. Coefficient of variance (CV) is a relative measure of process variation and inverse coefficient of variance (ICV) measures relative precision. In this paper, control charts for ICV under normal model using Bayesian approach is proposed. The control charts are constructed under noninformative and gamma priors. Their performance is investigated. The proposed control charts are illustrated through examples.
Advanced Statistical Process MonitoringFault Detection and Control SystemsAdvanced Control Systems OptimizationControl chartBayesian probabilityVariance (accounting)Statistical process controlPrior probabilityComputer scienceStatisticsCoefficient of variationProcess (computing)Variation (astronomy)
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