Results 41 to 50 of about 6,512 (216)

Machine Learning‐Based Risk‐Adjusted CUSUM Control Chart for Monitoring Readmission Rate Following PTBD Catheter Placement

open access: yesQuality and Reliability Engineering International, Volume 42, Issue 3, Page 933-949, April 2026.
ABSTRACT Percutaneous transhepatic biliary drainage (PTBD) catheter placement is known to have a high readmission rate. This work focuses on monitoring the change in readmission rate after a new clinical paradigm for post‐procedural care is implemented for the PTBD procedures.
Muhammed Aljifri   +2 more
wiley   +1 more source

Negative Binomial charts for monitoring high-quality processes [PDF]

open access: yes, 2008
Good control charts for high quality processes are often based on the number of successes between failures. Geometric charts are simplest in this respect, but slow in recognizing moderately increased failure rates p.
Albers, W.
core   +9 more sources

Introduction of a general class of entropy-based control charts: The Φ-chart

open access: yesManagerial Economics
We introduce a new class of Shewhart control charts, namely the f-chart. This new class is based on the cumulative paired f-divergence that generalizes both the cumulative (residual) entropy and the differential entropy.
Benedikt Mangold, Jens Konopik
doaj   +1 more source

Acceptance Control Charts

open access: yesZeszyty Naukowe Uniwersytetu Ekonomicznego w Krakowie, 2016
The main goal of this article was to review and analyse basic control charts, which can be used to accept or disqualify an analysed production process. There are two kinds of acceptance control charts: Shewhart and cumulative sum (CUSUM charts). Both can
Michał Major
doaj   +1 more source

Statistical methods for monitoring the operation of cathodic protection stations [PDF]

open access: yesE3S Web of Conferences, 2019
This article is a result of the research on the methods to monitor the operation of cathodic protection stations. This study presents the experimental data analysis of the work of cathodic protection stations was carried out by the transportation company
Gerasina Tatiana   +2 more
doaj   +1 more source

Weibull‐Neural Network Framework for Wind Turbine Lifetime Monitoring and Disturbance Identification

open access: yesWind Energy, Volume 29, Issue 4, April 2026.
ABSTRACT Wind turbines are vital for sustainable energy, yet their reliability under diverse operational and environmental conditions remains a challenge, often leading to costly failures. This study presents a novel Weibull‐Neural Network Framework to enhance wind turbine lifetime monitoring by estimating reliability (R(t)) and mean residual life (MRL)
Fatemeh Kiadaliry   +2 more
wiley   +1 more source

Control Charts for Monitoring Burr Type-X Percentiles [PDF]

open access: yes
[[abstract]]When the sampling distribution of a parameter estimator is unknown, using normality asymptotically, the Shewhart-type chart may provide improper control limits.
Bader M. G.   +12 more
core   +1 more source

Enhancing Food Safety in the Cold Chain Through Internet of Things and Artificial Intelligence

open access: yesJournal of Food Science, Volume 91, Issue 2, February 2026.
ABSTRACT Effective cold chain management is crucial for ensuring food safety, but traditional monitoring approaches remain reactive and fragmented. Industry 4.0 technologies, such as the Internet of Things (IoT) and artificial intelligence (AI), offer transformative potential for real‐time tracking, automation, and predictive analytics.
Wagner Augusto Müller   +2 more
wiley   +1 more source

Improved EWMA and CUSUM Charts Under Modified Successive Sampling for Monitoring Process Dispersion

open access: yesJournal of Statistical Theory and Applications (JSTA)
The Statistical Process Control (SPC) toolkit is extensively utilized to identify variations in processes, with control charts serving as the most efficient and commonly employed instrument for real-time process monitoring.
Tahir Mahmood   +2 more
doaj   +1 more source

On designing an assorted control charting approach to monitor process dispersion: an application to hard-bake process

open access: yesJournal of Taibah University for Science, 2020
The monitoring of process variability is an important feature to get optimal output from a process. Control charts are vital tools used for efficient process monitoring. The commonly used types of charts include Shewhart, cumulative sum and exponentially
Nasir Abbas   +3 more
doaj   +1 more source

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