Results 51 to 60 of about 6,512 (216)

Evaluating the Effectiveness of Control Charting Schemes in Detecting Malicious Attacks Targeting Manufacturing Systems

Quality and Reliability Engineering International, Volume 41, Issue 7, Page 2952-2973, November 2025.
ABSTRACT The increasing risk and impact of cyber‐physical attacks on the manufacturing industry are driven by vulnerabilities in industrial control systems and digital manufacturing technologies. These attacks can be strategically engineered to modify product dimensions while evading detection by current quality control (QC) tools.
Ahmad Al Majali, Lee J. Wells, Ahmad E. Elhabashy   +2 more
wiley   +1 more source

New Shewhart-EWMA and Shewhart-CUSUM Control Charts for Monitoring Process Mean [PDF]

Scientia Iranica, 2018
In this paper, we propose new Shewhart-EWMA (SEWMA) and Shewhart-CUSUM (SCUSUM) control charts using the varied L ranked set sampling (VLRSS) for monitoring the process mean, namely the SEWMA-VLRSS and SCUSUM-VLRSS charts. The run length characteristics of the proposed charts are computed using extensive Monte Carlo simulations. The proposed charts are
Abdul Haq, Muhammad Awais
openaire   +1 more source

A Robust L‐Comoments Covariance Matrix‐Based Hotelling's T2${T^{2}}$ Control Chart for Monitoring High‐Dimensional Non‐Normal Multivariate Data in the Presence of Outliers

Quality and Reliability Engineering International, Volume 41, Issue 7, Page 3308-3317, November 2025.
ABSTRACT This article introduces a new robust multivariate Hotelling T‐square (TS) control chart that incorporates an L‐Comoments covariance matrix into a multivariate statistical process control (MSPC) charting scheme to enhance its robustness and detection ability.
Muhammad Arslan, Usman Shahzad, Ali Yeganeh, Huiming Zhu, JC Malela‐Majika, Shakeel Ahmad   +5 more
wiley   +1 more source

Monitoring Industrial Processes with Robust Control Charts

Revstat Statistical Journal, 2009
The Shewhart control charts, used for monitoring industrial processes, are the most popular tools in Statistical Process Control (SPC). They are usually developed under the assumption of independent and normally distributed data, an assumption rarely ...
Fernanda Figueiredo , M. Ivette Gomes
doaj   +1 more source

Prediction Intervals for Overdispersed Binomial Endpoints and Their Application to Toxicological Historical Control Data

Pharmaceutical Statistics, Volume 24, Issue 5, September/October 2025.
ABSTRACT For toxicology studies, the validation of the concurrent control group by historical control data (HCD) has become requirements. This validation is usually done by historical control limits (HCL), which should cover the observations of the concurrent control with a predefined level of confidence.
Max Menssen, Jonathan Rathjens
wiley   +1 more source

A Variable Control Chart Based on Process Capability Index Under Generalized Multiple Dependent State Sampling

IEEE Access, 2019
This paper proposed a process capability index-based control chart under the new extended form of multiple-dependent state sampling (MDS) named generalized MDS (GMDS).
G. Srinivasa Rao, Muhammad Ali Raza, Muhammad Aslam, Ali Hussein AL-Marshadi, Chi-Hyuck Jun   +4 more
doaj   +1 more source

Shewhart methodology for modelling financial series : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Statistics at Massey University, Palmerston North, New Zealand [PDF]

, 2017
Quality management techniques are widely used in industrial applications for monitoring observable process variation. Among them, the scientific notion of Shewhart principles is vital for understating variations in any type of process or service.
Premarathna, Liyana Pathiranaralalage Nadeeka Dilrukshi
core  

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

Quality analysis of BCG vaccine for bladder cancer immunotherapy using Shewhart control charts

Биопрепараты: Профилактика, диагностика, лечение
SCIENTIFIC RELEVANCE. The complexity of standardising immunobiologicals, including bacillus Calmette–Guérin (BCG) vaccines, requires improving the approach to statistical analysis of consistency in their quality indicators. Quality analysis tools include
A. A. Savina, A. A. Voropaev, A. A. Alesina   +2 more
doaj   +1 more source

Shewhart’s Control Chart: Some Observations

, 1999
Data Analysis in Shewhart’s Control Chart, to use the original m samples n sized intensities, is the main subject of this paper. Given m × n intensities we examine three alternatives to sintetize the variability: a) arithmetic mean of m standard deviations (' S); b) root mean square of m variances (" S); c) global dispersion ("" S).
openaire   +3 more sources