Multivariate statistical process control charts: an overview
S Bersimis, S Psarakis… - Quality and Reliability …, 2007 - Wiley Online Library
In this paper we discuss the basic procedures for the implementation of multivariate
statistical process control via control charting. Furthermore, we review multivariate …
statistical process control via control charting. Furthermore, we review multivariate …
How generative AI models such as ChatGPT can be (mis) used in SPC practice, education, and research? An exploratory study
Abstract Generative Artificial Intelligence (AI) models such as OpenAI's ChatGPT have the
potential to revolutionize Statistical Process Control (SPC) practice, learning, and research …
potential to revolutionize Statistical Process Control (SPC) practice, learning, and research …
A review of some sampling and aggregation strategies for basic statistical process monitoring
IM Zwetsloot, WH Woodall - Journal of Quality Technology, 2021 - Taylor & Francis
We review the long-established rational subgrouping principle for determining an effective
sampling plan for process monitoring. We present some other general advice that has been …
sampling plan for process monitoring. We present some other general advice that has been …
Industrial process monitoring in the big data/industry 4.0 era: From detection, to diagnosis, to prognosis
MS Reis, G Gins - Processes, 2017 - mdpi.com
We provide a critical outlook of the evolution of Industrial Process Monitoring (IPM) since its
introduction almost 100 years ago. Several evolution trends that have been structuring IPM …
introduction almost 100 years ago. Several evolution trends that have been structuring IPM …
Using control charts to monitor process and product quality profiles
WH Woodall, DJ Spitzner… - Journal of Quality …, 2004 - Taylor & Francis
In most statistical process control (SPC) applications, it is assumed that the quality of a
process or product can be adequately represented by the distribution of a univariate quality …
process or product can be adequately represented by the distribution of a univariate quality …
[图书][B] Statistical analysis of profile monitoring
The aim of this book is to summarize major achievements in statistical profile monitoring
methods. Statistical profile monitoring can be considered as a potential subarea of statistical …
methods. Statistical profile monitoring can be considered as a potential subarea of statistical …
Phase I analysis of linear profiles with calibration applications
MA Mahmoud, WH Woodall - Technometrics, 2004 - Taylor & Francis
We study the phase I analysis of data when the quality of a process or product is
characterized by a linear function. We assume that simple linear regression data are …
characterized by a linear function. We assume that simple linear regression data are …
Monitoring general linear profiles using multivariate exponentially weighted moving average schemes
We propose a statistical process control scheme that can be implemented in industrial
practice, in which the quality of a process can be characterized by a general linear profile …
practice, in which the quality of a process can be characterized by a general linear profile …
Statistical monitoring of nonlinear product and process quality profiles
JD Williams, WH Woodall… - Quality and Reliability …, 2007 - Wiley Online Library
In many quality control applications, use of a single (or several distinct) quality characteristic
(s) is insufficient to characterize the quality of a produced item. In an increasing number of …
(s) is insufficient to characterize the quality of a produced item. In an increasing number of …
A change point method for linear profile data
MA Mahmoud, PA Parker, WH Woodall… - Quality and …, 2007 - Wiley Online Library
We propose a change point approach based on the segmented regression technique for
testing the constancy of the regression parameters in a linear profile data set. Each sample …
testing the constancy of the regression parameters in a linear profile data set. Each sample …