Bayesian approach to control charts for process precision
Author(s): Sharada V Bhat and Chetan Malagavi
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.
Sharada V Bhat, Chetan Malagavi. Bayesian approach to control charts for process precision. Int J Stat Appl Math 2023;8(6):30-40. DOI: 10.22271/maths.2023.v8.i6a.1400
