Control charts are used to detect assignable causes in different manufacturing and nonmanufacturing processes. This study presents a new maximum exponentially weighted moving average (Max-EWMA) chart for joint unit interval time magnitude monitoring. To this end, beta distribution is considered whereas simplex magnitude. Average run length (ARL), standard deviation of (SDRL), quantiles evaluate...

This paper proposes a new chart with the generalized likelihood ratio (GLR) test statistics for monitoring the process variance of a normally distributed process. The new chart can be easily designed and constructed and the computation results show that it provides quite a satisfactory performance, including the detection of the decrease in the variance and the individual observation at the sam...

background and objective: improved and modified automation will require the development of smart process control systems that provide on-line decisions to release patients’ test results based on high analytical quality assurance formula. materials and methods: we collected patients’ test results from 10840 healthy subjects based on 1.96z as truncation limit for 29 common haematochemical analyte...

abstract profile monitoring in statistical quality control has attracted attention of many researchers recently. a profile is a function between response variables and one or more independent variables. there have been only a limited number of researches on monitoring multivariate profiles. indeed, monitoring correlated multivariate profiles is a new subject in the fileld of statistical process...

Control charts are one of the tools in statistical process control widely used for monitoring, measuring, controlling, improving quality, and detecting problems processes various fields. The average run length (ARL) can be to determine efficacy a chart. In this study, we develop new modified exponentially weighted moving (EWMA) chart derive explicit formulas both two-sided ARLs p-order autoregr...

Airplane is a mode of transportation that has an accident risk. Aircraft accidents are recorded to occur almost every year in Indonesia. The Poisson distribution used model the number aircraft each because they have fixed time and independent. Statistical quality control applied as method monitor fatal Indonesia within limits. One carry out use chart. This study aims apply Exponentially Weighte...

The Poisson distribution assumption often arises in several industrial applications for modeling defects or nonconformities. In this work, we investigate the one- and two-sided performance of a new adaptive EWMA (exponentially weighted moving average)-type chart monitoring count data. An appropriate discrete-state Markov chain technique is provided to compute exact ARL (average run length) prop...

Nonparametric control charts do not require knowledge about the shape of the underlying distribution and can thus be attractive in certain situations. Two new Shewharttype nonparametric control charts are proposed for monitoring the unknown location parameter of a continuous population in Phase II (prospective) applications. The charts are based on control limits given by two specified order st...

In this paper, a Multivariate-Multistage Quality Control (MVMSQC) procedure is investigated. In this procedure discriminate analysis, linear regression and control chart theory are combined to control the means of correlated characteristics of a process, which involves several serial stages. Furthermore, the quality of the output at each stage depends on the output of the previous stage as well...