GLM-based flexible monitoring methods: an application to real-time highway safety surveillance
Statistical modeling of historical crash data can provide essential insights to safety
managers for proactive highway safety management. While numerous studies have …
managers for proactive highway safety management. While numerous studies have …
On enhanced GLM-based monitoring: an application to additive manufacturing process
Innovations in technology assist the manufacturing processes in producing high-quality
products and, hence, become a greater challenge for quality engineers. Control charts are …
products and, hence, become a greater challenge for quality engineers. Control charts are …
Deep learning-based residual control chart for count data
Statistical process control for count data has difficulty overcoming multicollinearity. In this
paper, we propose a new deep learning residual control chart based on the asymmetrical …
paper, we propose a new deep learning residual control chart based on the asymmetrical …
Efficient GLM‐based control charts for Poisson processes
The control charts are essential instruments that can impart crucial insights to quality
controllers for maintaining the productivity of manufacturing processes. The conventional …
controllers for maintaining the productivity of manufacturing processes. The conventional …
Memory type control charts with inverse-Gaussian response: An application to yarn manufacturing industry
Control charts are commonly applied for monitoring and controlling the performance of the
manufacturing process. Usually, control charts are designed based on the main quality …
manufacturing process. Usually, control charts are designed based on the main quality …
Shewhart ridge profiling for the Gamma response model
When product quality follows the Gamma distribution and is related to one or more covariate
(s), then Gamma regression model (GRM) profiling will be used. The Gamma profiling is …
(s), then Gamma regression model (GRM) profiling will be used. The Gamma profiling is …
EWMA control chart for Rayleigh process with engineering applications
FS Alduais, Z Khan - IEEE Access, 2023 - ieeexplore.ieee.org
Process monitoring is typically performed with quality control charts. The normality
assumption is often taken into consideration for the development of control charts. However …
assumption is often taken into consideration for the development of control charts. However …
Deviance residual-based Shewhart control chart for monitoring Conway-Maxwell-Poisson profile under the rk class estimator
U Mammadova, MR Özkale - Quality Technology & Quantitative …, 2023 - Taylor & Francis
In this study, we first propose the rk class estimator in COM-Poisson regression, and then we
introduce the Shewhart control chart using the deviance residuals obtained from the rk class …
introduce the Shewhart control chart using the deviance residuals obtained from the rk class …
The generalized linear model‐based exponentially weighted moving average and cumulative sum charts for the monitoring of high‐quality processes
T Mahmood, N Balakrishnan… - Applied Stochastic Models …, 2021 - Wiley Online Library
Abstract In this industry 4.0 revolution, most of the manufacturing processes are equipped
with the digital devices which are continuously recording the data. To monitor the quality of a …
with the digital devices which are continuously recording the data. To monitor the quality of a …
Residuals based EWMA control charts with risk adjustments for zero‐inflated Poisson models
Count data are widely available in many fields and numerous studies have designed control
charts for them to monitor count processes. However, these control charts have limited effect …
charts for them to monitor count processes. However, these control charts have limited effect …