Results 71 to 80 of about 4,537 (202)

The Application of Six Sigma to Assess the Analytical Performance of Plasma Proteins and Design a Risk‐Based Statistical Quality Control Strategy: A Multicenter Study

Journal of Clinical Laboratory Analysis, Volume 39, Issue 16, August 2025.
The six sigma model can objectively assess the analytical performance of plasma proteins. Different control concentrations yield different sigma values, which are visually displayed through standardized sigma performance verification charts. The six sigma model enables the development of personalized quality control strategies for each assay.
Ming Hu, Jiaping Wang, Huan Yang, Sugang Zang, Tingting Gao, Jian Zeng, Fumeng Yang   +6 more
wiley   +1 more source

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

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

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

EWMA Chart and Measurement Error [PDF]

Measurement error is a usually met distortion factor in real-world applications that influences the outcome of a process. In this paper, we examine the effect of measurement error on the ability of the EWMA control chart to detect out-of-control ...
Maravelakis, Petros, Panaretos, John, Psarakis, Stelios   +2 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

Hybrid exponentially weighted moving average control chart for mean by using different ranked set sampling schemes

Kuwait Journal of Science, 2020
In this paper different schemes of ranked set sampling (RSS) are used to design a new hybrid exponentially weighted moving average (HEWMA) control chart having more sensitivity to small and moderate shifts.The  suggested control chart  dominates ...
Muhammad Noor ul amin, Navara Shabbir, Nasrullah Khan, Afshan Riaz   +3 more
doaj  

Adaptive EWMA Control Charts with a Time Varying Smoothing Parameter [PDF]

, 2015
It is known that time-weighted charts like EWMA or CUSUM are designed to be optimal to detect a specific shift. If they are designed to detect, for instance, a very small shift, they can be inefficient to detect moderate or large shifts.
Sánchez, Ismael, Ugaz Sánchez, Willy Ericson   +1 more
core   +4 more sources

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

The Enhanced EWMA Control Chart with Autocorrelation

Jurnal Teknologi, 2014
Control charts are effective tool with regard to improving process quality and productivity, Shewhart control charts are efficiently good at detecting large shifts in a given process but very slow in detecting small and moderate shifts, such problem could be tackled through design of sensitizing rules.
Farouk, Abbas Umar, Mohamad, Ismail
openaire   +2 more sources