177 citations · 215 across the 7 of their papers we have counts for
8 papers
Introducing ChatSQC: Enhancing Statistical Quality Control with Augmented AI
Fadel M. Megahed, Ying-Ju Chen, Inez Zwetsloot +3
We introduce ChatSQC, an innovative chatbot system that combines the power of OpenAI's Large Language Models (LLM) with a specific knowledge base in Statistical Quality Control (SQ…
How Generative AI models such as ChatGPT can be (Mis)Used in SPC Practice, Education, and Research? An Exploratory Study
Fadel M. Megahed, Ying-Ju Chen, Joshua A. Ferris +2
Generative Artificial Intelligence (AI) models such as OpenAI's ChatGPT have the potential to revolutionize Statistical Process Control (SPC) practice, learning, and research. Howe…
Another look at synthetic-type control charts
Sven Knoth
During the last two decades, in statistical process monitoring plentiful new methods appeared with synthetic-type control charts being a prominent constituent. These charts became…
A Critique of a Variety of "Memory-Based'' Process Monitoring Methods
Sven Knoth, Nesma A. Saleh, Mahmoud A. Mahmoud +2
Many extensions and modifications have been made to standard process monitoring methods such as the exponentially weighted moving average (EWMA) chart and the cumulative sum (CUSUM…
A Review and Critique of Auxiliary Information-Based Process Monitoring Methods
Nesma A. Saleh, Mahmoud A. Mahmoud, William H. Woodall +1
We review the rapidly growing literature on auxiliary information-based (AIB) process monitoring methods. Under this approach, there is an assumption that the auxiliary variable, w…
The Case against Generally Weighted Moving Average (GWMA) Control Charts
Sven Knoth, William H. Woodall, Víctor G. Tercero-Gómez
We argue against the use of generally weighted moving average (GWMA) control charts. Our primary reasons are the following: 1) There is no recursive formula for the GWMA control ch…
Controlling the EWMA control chart false alarm behavior when the in-control variance level must be estimated
Sven Knoth
Investigating the problem of setting control limits in the case of parameter uncertainty is more accessible when monitoring the variance because only one parameter has to be estima…
The Steady-State Behavior of Multivariate Exponentially Weighted Moving Average Control Charts
Sven Knoth
Multivariate Exponentially Weighted Moving Average, MEWMA, charts are popular, handy and effective procedures to detect distributional changes in a stream of multivariate data. For…