Abstract
Existing control charts based on failure-censored (Type-II) reliability tests were designed using classical statistics. Classical statistics was applied for the monitoring of the process when observations in the sample or the population were determined. Neutrosophic statistics (NS) are applied when there is uncertainty in the sample or population. In this paper, a control chart for failure-censored (Type-II) reliability tests was designed using NS. The design of a control chart for the Weibull distribution, which is applied when there is a lack of symmetry using neutrosophic statistics, is given. The proposed control chart was used to monitor the neutrosophic mean and neutrosophic variance, which are related to the neutrosophic scale parameter. The advantages of the proposed control chart over the existing control chart are discussed.
Subject
Physics and Astronomy (miscellaneous),General Mathematics,Chemistry (miscellaneous),Computer Science (miscellaneous)
Reference61 articles.
1. Control charts for non-normal data: Illustrative example from the construction industry businesshttps://www.google.com.tw/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=2ahUKEwjgz4mTn_zeAhWOFogKHXjbCXIQFjAAegQICRAC&url=http%3A%2F%2Fwww.wseas.us%2Fe-library%2Fconferences%2F2014%2FMalaysia%2FMACMESE%2FMACMESE-10.pdf&usg=AOvVaw1PPU0bV-aBbm7pVZ9wunqY
2. Nonparametric quality control charts based on the sign statistic
3. X̄andRControl Charts for Skewed Populations
4. Economic statistical design of control charts for systems with Gamma(λ,2) in-control times
5. Economic design of X̄ control charts for non-normal data using variable sampling policy
Cited by
25 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