Results 61 to 70 of about 3,947 (212)

A Novel Moving Average–Exponentiated Exponentially Weighted Moving Average (MA-Exp-EWMA) Control Chart for Detecting Small Shifts

Mathematics
Process monitoring plays a vital role in ensuring quality stability, and, operational efficiency across fields such as manufacturing, finance, biomedical science, and environmental monitoring.
Jun-Hao Lu, Chang-Yun Lin
doaj   +1 more source

Monitoring of manufacturing process using bayesian EWMA control chart under ranked based sampling designs

Scientific Reports, 2023
Control charts, including exponentially moving average (EWMA) , are valuable for efficiently detecting small to moderate shifts. This study introduces a Bayesian EWMA control chart that employs ranked set sampling (RSS) with known prior information and ...
Imad Khan, Muhammad Noor-ul-Amin, Dost Muhammad Khan, Emad A. A. Ismail, Wojciech Sumelka   +4 more
doaj   +1 more source

Evaluation and Comparison of Statistical Methods for Early Detection of Respiratory Symptom Outbreaks: A Real‐World Observational Study From Iran

Health Science Reports, Volume 8, Issue 11, November 2025.
Abstract Background and Aims This study aimed to evaluate and compare the performance of different outbreak detection models for respiratory symptoms visits, identifying their strengths and weaknesses when applied to visit data. Methods In this observational study, data from outpatient centers in the four Iranian provinces of Gilan, Qom, Khuzestan, and
Mojtaba Sepandi, Yousef Alimohamadi
wiley   +1 more source

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

The Pre‐Classified PBRTQC Model Can Reduce the False Positive Rate of K+

iLABMED, Volume 3, Issue 3, Page 283-291, September 2025.
Establishing patient‐based real‐time quality control models through pre‐classification of dialysis patients can significantly lower the false positive rate of K+, enhancing the accuracy of real‐time monitoring for laboratory testing systems. ABSTRACT Background Patient‐based real‐time quality control (PBRTQC) has garnered increasing attention, yet ...
Xuemei Wei, Rong Zheng, Xu Zhang, Lin Zhu, Ge Tian, Ting Zhang, Jie Feng, Yanhong Gao   +7 more
wiley   +1 more source

Intervention in Healthcare Teams to Promote Adherence to the Integration of Care for People at Risk of Pressure Injuries Between Hospitals and Communities: A Scoping Review

International Wound Journal, Volume 22, Issue 9, September 2025.
ABSTRACT Pressure injuries (PIs) remain a problem for patient safety and the sustainability of healthcare systems. Difficulties persist in their assessment, prevention and monitoring by multidisciplinary teams. International recommendations point to this problem as a priority area for resolution in terms of patient safety.
Daniela Amêndoa, Lara Gugg, Carolina Gomes, Catarina Diniz, Óscar Ferreira, Cristina Lavareda Baixinho   +5 more
wiley   +1 more source

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

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

The Sequential Normal Scores Transformation

, 2017
The sequential analysis of series often requires nonparametric procedures, where the most powerful ones frequently use rank transformations. Re-ranking the data sequence after each new observation can become too intensive computationally. This led to the
Conover, W. J., Cordero-Franco, Alvaro E., Tercero, Victor G.   +2 more
core   +1 more source

Statistical process control of mortality series in the Australian and New Zealand Intensive Care Society (ANZICS) adult patient database: implications of the data generating process [PDF]

, 2013
for the ANZICS Centre for Outcome and Resource Evaluation (CORE) of the Australian and New Zealand Intensive Care Society (ANZICS)BACKGROUND Statistical process control (SPC), an industrial sphere initiative, has recently been applied in health care and ...
A Bottle, A de Silva, A Duclos, AB Koehler, AV Vasilopoulis, C Solodky, CA Rogers, CR Nelson, CW Lu, DA Cook, DA Cook, DA Cook, DA Pierce, DC Montgomery, DC Montgomery, DC Montgomery, DC Montgomery, DC Montgomery, DG Wardell, DM Shahian, DV Pilcher, DW Apley, DW Apley, G Box, G Collins, G Kirchgassner, GC Runger, HC Lee, HV Roberts, J Kuha, J Moran, J Shiskin, J Thor, JC Benneyan, JJ Kirkham, JL Moran, John L Moran, L Bauwens, LC Alwan, LC Alwan, LC Alwan, MA Mohammed, MR Reynolds, MR Reynolds, NF Zhang, NF Zhang, P Winkel, P Winkel, P Winkel, Patricia J Solomon, PJ Stow, PM Berthouex, R Development Core Team, R Engle, R Tennant, RH Shumway, RH Shumway, RJ Hyndman, RJ Hyndman, RS Tsay, RS Tsay, S Bisgaard, S Karlsson, S Rabe-Hesketh, S Schipper, S-H Wang, StataCorp, StataCorp, StatPoint Technologies Inc, SW Human, T Lwin, T Marshall, WA Knaus, WH Woodall, X Pan, Y Fang   +75 more
core   +1 more source