Results 71 to 80 of about 3,958 (193)

A Simulation Study Of The Impact Of Forecast Recovery For Control Charts Applied To ARMA Processes [PDF]

, 2002
Forecast-based schemes are often used to monitor autocorrelated processes, but the resulting forecast recovery has a significant effect on the performance of control charts.
Adams, B. Michael, Conerly, Michael D., Dyer, John N.   +2 more
core   +2 more sources

A Spatiotemporal Scheme for Process Control Using Image Analysis of Speckle Patterns

Quality and Reliability Engineering International, Volume 41, Issue 5, Page 1773-1788, July 2025.
ABSTRACT Conventional image‐based process control schemes require distinct, detectable features (e.g., edges or textures). In the absence of such features, current methods fail or require additional preprocessing. They are also prone to false detections from random noise, dirt, or scratches on the surface.
Hamed Sabahno, Davood Khodadad
wiley   +1 more source

Multivariate Mixed EWMA-CUSUM Control Chart for Monitoring the Process Variance-Covariance Matrix

IEEE Access, 2019
The dispersion control charts monitor the variability of a process that may increase or decrease. An increase in dispersion parameter implies deterioration in the process for an assignable cause, while a decrease in dispersion indicates an improvement in
Muhammad Riaz, Jimoh Olawale Ajadi, Tahir Mahmood, Saddam Akber Abbasi   +3 more
doaj   +1 more source

Multivariate Statistical Process Control Charts: An Overview [PDF]

In this paper we discuss the basic procedures for the implementation of multivariate statistical process control via control charting. Furthermore, we review multivariate extensions for all kinds of univariate control charts, such as multivariate ...
Bersimis, Sotiris, Panaretos, John, Psarakis, Stelios   +2 more
core   +1 more source

Review on Information Fusion‐Based Data Mining for Improving Complex Anomaly Detection

WIREs Data Mining and Knowledge Discovery, Volume 15, Issue 2, June 2025.
The performance of information fusion techniques within the framework of various anomaly detection methods applied in sensor data mining. ABSTRACT Anomaly predicated upon multiple distributed hybrid sensors frequently uses hybrid approaches, integrating techniques derived from statistical analysis, probability, data mining, machine learning, deep ...
Sorin‐Claudiu Moldovan, Laszlo Barna Iantovics   +1 more
wiley   +1 more source

An Examination of the Robustness to Non Normality of the EWMA Control Charts for the Dispersion [PDF]

The EWMA control chart is used to detect small shifts in a process. It has been shown that, for certain values of the smoothing parameter, the EWMA chart for the mean is robust to non normality.
Maravelakis, Petros, Panaretos, John, Psarakis, Stelios   +2 more
core   +1 more source

An Exact Formula for the Average Run Length to False Alarm of the Generalized Shiryaev-Roberts Procedure for Change-Point Detection under Exponential Observations

, 2014
We derive analytically an exact closed-form formula for the standard minimax Average Run Length (ARL) to false alarm delivered by the Generalized Shiryaev-Roberts (GSR) change-point detection procedure devised to detect a shift in the baseline mean of a ...
A Novikov, A Tartakovsky, AG Tartakovsky, AG Tartakovsky, AG Tartakovsky, AG Tartakovsky, AG Tartakovsky, AN Shiryaev, AN Shiryaev, AN Shiryaev, AS Polunchenko, AS Polunchenko, AS Polunchenko, AS Polunchenko, AS Polunchenko, AS Polunchenko, B Yakir, ES Page, FF Gan, FF Gan, G Lorden, GV Moustakides, HV Poor, J DeLucia, M Pollak, M Pollak, M Pollak, M Pollak, M Woodroofe, R Kenett, R Kenett, S Knoth, S Vardeman, SW Roberts, SW Roberts, VV Veeravalli, Y Mei, Y Mevorach   +37 more
core   +1 more source

Tensor‐based process control and monitoring for semiconductor manufacturing with unstable disturbances

Naval Research Logistics (NRL), Volume 72, Issue 3, Page 356-371, April 2025.
Abstract With the development and popularity of sensors installed in manufacturing systems, complex data are collected during manufacturing processes, which brings challenges for traditional process control methods. This paper proposes a novel process control and monitoring method for the complex structure of high‐dimensional image‐based overlay errors
Yanrong Li, Juan Du, Fugee Tsung, Wei Jiang   +3 more
wiley   +1 more source

The Usage of Time Series Control Charts for Financial Process Analysis [PDF]

Journal of Competitiveness, 2012
We will deal with financial proceedings of the company using methods of SPC (Statistical Process Control), specifically through time series control charts.
Kovářík Martin, Klímek Petr
doaj  

Is There a Future for Stochastic Modeling in Business and Industry in the Era of Machine Learning and Artificial Intelligence?

Applied Stochastic Models in Business and Industry, Volume 41, Issue 2, March/April 2025.
ABSTRACT The paper arises from the experience of Applied Stochastic Models in Business and Industry which has seen, over the years, more and more contributions related to Machine Learning rather than to what was intended as a stochastic model. The very notion of a stochastic model (e.g., a Gaussian process or a Dynamic Linear Model) can be subject to ...
Fabrizio Ruggeri, David Banks, William S. Cleveland, Nicholas I. Fisher, Marcos Escobar‐Anel, Paolo Giudici, Emanuela Raffinetti, Roger W. Hoerl, Dennis K. J. Lin, Ron S. Kenett, Wai Keung Li, Philip L. H. Yu, Jean‐Michel Poggi, Marco S. Reis, Gilbert Saporta, Piercesare Secchi, Rituparna Sen, Ansgar Steland, Zhanpan Zhang   +18 more
wiley   +1 more source