Results 1 to 10 of about 215 (99)
Probability‐type, Shewhart‐type and EWMA control charts for individual observations from the two‐parameter Lindley distribution [PDF]
AbstractLindley distribution is a continuous distribution with various applications some of which are in medicine, genetics, epidemiology, biology, finance and actuarial sciences, ecology, meteorology, sociology, demography, agriculture, hydrology, geosciences, reliability and engineering, life testing and survival analysis, airborne systems and ...
Elisavet Demertzi, Stelios Psarakis
openaire +2 more sources
O presente artigo tem como objetivo analisar e controlar estatisticamente um processo industrial, em que o gráfico do tipo Shewhart é o atualmente utilizado. A partir de uma aplicação realizada por meio da pesquisa axiomática quantitativa, são analisadas outras opções como o emprego de um gráfico CUSUM e um gráfico combinado Shewhart-CUSUM ...
Olga Maria Formigoni Carvalho Walter
openaire +3 more sources
Using Shewhart charts to monitor quality characteristics of preventive vaccines for tuberculosis
Scientific relevance. The quality of medicinal products, particularly vaccines, is contingent on the stability of the manufacturing process at all stages, which can be evaluated using Shewhart charts for data obtained by monitoring the quality attributes
A. A. Savina +2 more
doaj +1 more source
Construction Skewness Correction the And R Control Chart under Non –Normality
Shewhart's charts are powerful tools in Statistical Process Control (SPC) and are widely used. Usually, Shewhart's charts are depending on the normality assumption.
Kawa M. Jamal Rashid
doaj +1 more source
The response surface methodology (RSM) and Shewhart control charts have been widely used in manufacturing to reduce variation, improve quality and optimize the output.
Ahmed Maged +4 more
doaj +1 more source
Shewhart control chart for individual measurement: an application in a weaving mill [PDF]
Raaj Kishore Biswas +2 more
openalex
Shewhart-Type Control Charts for Individual Observations
Several options in designing a Shewhart-type control chart for individual observations are discussed. A number of possible estimators of the standard deviation are considered. A two-stage procedure is suggested for retrospective testing. Finally, it is ..
Kit C. B. Roes +2 more
openaire +2 more sources
A Semi-Bayesian Method for Shewhart Individual Control Charts
Keywords: Keywords: Bernstein polynomials, non-parametrics, quality control, semi-Bayesian, statistical process control.
Vermaat, T.M.B., Does, R.J.M.M.
openaire +3 more sources
AbstractSeveral control charts for individual observations are compared. Traditional ones are the well‐known Shewhart individuals control charts based on moving ranges. Alternative ones are non‐parametric control charts based on empirical quantiles, on kernel estimators, and on extreme‐value theory.
Does, R.J.M.M. +3 more
openaire +4 more sources
Shewhart Control Charts for Individuals with Time-Ordered Data
The analysis of time-ordered data is of particular interest to the quality engineer and control statistician to whom the time-series plot is a known as a “run chart”. Deming [1982 pp. 112–114 and 1986 pp. 67, 310–314] has been a strong proponent of the use of run charts for the analysis of process data.
M. K. Hart, R. F. Hart
openaire +2 more sources

