An overview on recent profile monitoring papers (2008–2018) based on conceptual classification scheme
Sometimes the quality of a process is best expressed by a relationship between response
variables and explanatory variables. Checking over the time the stability of such functional …
variables and explanatory variables. Checking over the time the stability of such functional …
Employing machine learning techniques in monitoring autocorrelated profiles
In profile monitoring, it is usually assumed that the observations between or within each
profile are independent of each other. However, this assumption is often violated in …
profile are independent of each other. However, this assumption is often violated in …
Phase I monitoring and change point estimation of autocorrelated poisson regression profiles
The objective of this paper is to study the Phase I monitoring and change point estimation of
autocorrelated Poisson profiles where the response values within each profile are …
autocorrelated Poisson profiles where the response values within each profile are …
Efficient phase II monitoring methods for linear profiles under the random effect model
A profile is a functional relationship between two or more variables used to monitor the
process performance and its quality. Sometimes, the aforementioned relationship is linear or …
process performance and its quality. Sometimes, the aforementioned relationship is linear or …
Phase II monitoring of binary profiles in the presence of within-profile autocorrelation based on Markov model
This paper introduces a Markov model in Phase II profile monitoring with autocorrelated
binary response variable. In the proposed approach, a logistic regression model is extended …
binary response variable. In the proposed approach, a logistic regression model is extended …
Phase II monitoring of multivariate simple linear profiles with estimated parameters
In some applications of statistical process monitoring, a quality characteristic can be
characterized by linear regression relationships between several response variables and …
characterized by linear regression relationships between several response variables and …
Online monitoring of autocorrelated multivariate linear profiles via multivariate mixed models
S Khalili, R Noorossana - Quality Technology & Quantitative …, 2022 - Taylor & Francis
Multivariate multiple profile monitoring has been studied extensively over the past few years.
Most of these studies assumed that the observations are uncorrelated, which could be …
Most of these studies assumed that the observations are uncorrelated, which could be …
Monitoring simple linear profiles in the presence of within‐and between‐profile autocorrelation
The current study investigates the effect of within‐profile and between‐profile
autocorrelations on the performance of four monitoring methods of simple linear profiles in …
autocorrelations on the performance of four monitoring methods of simple linear profiles in …
Semiparametric MEWMA for Phase II profile monitoring
SH Nassar, ASG Abdel‐Salam - Quality and Reliability …, 2021 - Wiley Online Library
A control chart is one of the statistical process techniques that is used to monitor different
processes. Some processes are characterized by functions or profiles, and a profile is a …
processes. Some processes are characterized by functions or profiles, and a profile is a …
Phase I monitoring of simple linear profiles in multistage processes with cascade property
When a multistage manufacturing process is monitored statistically, the cascade property
results in a more complicated condition compared to the case when a single-stage process …
results in a more complicated condition compared to the case when a single-stage process …