Memory type Bayesian adaptive max-EWMA control chart for weibull processes

A A. Zaagan, I Khan, A Ayari-Akkari, A Raza… - Scientific Reports, 2024 - nature.com
The simultaneous monitoring of both the process mean and dispersion has gained
considerable attention in statistical process control, especially when the process follows the …

Memory type Max-EWMA control chart for the Weibull process under the Bayesian theory

M Noor-ul-Amin, I Khan, J Iqbal, Z Rasheed… - Scientific Reports, 2024 - nature.com
The simultaneous monitoring of both process mean and dispersion, particularly in normal
processes, has garnered significant attention within the field. In this article, we present a new …

Stochastic modelling of crack propagation in materials with random properties using isometric map** for dimensionality reduction of nonlinear data sets

M Mousavi Nezhad, E Gironacci… - International Journal …, 2018 - Wiley Online Library
Fractures tend to propagate along the least resistance paths, and homogeneous‐based
models may not be able to reliably predict the true crack paths, as they are not capable of …

Comparisons of some memory‐type control chart for monitoring Weibull‐distributed time between events and some new results

J Li, D Yu, Z Song, A Mukherjee… - Quality and Reliability …, 2022 - Wiley Online Library
Monitoring Weibull time between event (TBE) processes is essential to avoid deterioration of
quality characteristics in various reliability analysis problems. Statistical process monitoring …

About Shewhart control charts to monitor the Weibull mean based on a Gamma distribution

RMR Vasconcelos, RC Quinino, LL Ho… - Quality and Reliability …, 2022 - Wiley Online Library
A control chart for the mean of a process whose quality characteristic follows a Weibull
distribution is evaluated. In this sense, a transformation that follows an exponential …

New control charts for monitoring the Weibull percentiles under complete data and Type‐II censoring

FK Wang, B Bizuneh, XB Cheng - Quality and Reliability …, 2018 - Wiley Online Library
In this paper, we propose 3 new control charts for monitoring the lower Weibull percentiles
under complete data and Type‐II censoring. In transforming the Weibull distribution to the …

The performance of semi-empirical Bayesian control charts for monitoring Weibull data

P Erto, G Pallotta, B Palumbo… - Quality Technology & …, 2018 - Taylor & Francis
In this paper we investigate the performance of semi-empirical Bayesian control charts to
monitor the percentiles and the shape parameter of a Weibull distribution. These charts have …

EWMA and adaptive EWMA variable sampling intervals charts for simultaneous monitoring of Weibull parameters

L Huwang, CH Wu, YR Lee - Quality Technology & Quantitative …, 2021 - Taylor & Francis
In this article, we first propose an exponentially weighted moving average (EWMA) chart for
monitoring both the shape and scale parameters of the Weibull distribution. The proposed …

Design and comparison of some Shewhart‐type schemes for simultaneous monitoring of Weibull parameters

M Gong, A Mukherjee - Quality and Reliability Engineering …, 2019 - Wiley Online Library
Weibull distribution is one of the most important probability models used in modeling time
between events, system reliability, and particle sizes, among others. Therefore, efficiently …

Economic design of an attribute control chart for monitoring mean life based on multiple deferred state sampling

S Balamurali, P Jeyadurga - Applied Stochastic Models in …, 2019 - Wiley Online Library
In this paper, we design an attribute np control chart using multiple deferred state (MDS)
sampling under Weibull distribution based on time truncated life test. This chart is …