Zobrazeno 1 - 10
of 4 696
pro vyhledávání: '"average run length"'
Publikováno v:
International Journal of Quality & Reliability Management, 2023, Vol. 41, Issue 9, pp. 2421-2433.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJQRM-08-2022-0257
Autor:
Ioannis S. Triantafyllou
Publikováno v:
International Journal of Mathematical, Engineering and Management Sciences, Pp 737-755 (2024)
In this article, we improve the behavior of nonparametric Shewhart-type control charts, which employ order statistics and multiple runs-type rules. The proposed class of monitoring schemes includes some existing control charts. In addition, new distr
Externí odkaz:
https://doaj.org/article/f0725147cbfe462da799f3239c2ca09f
Publikováno v:
Journal of Statistical Theory and Applications (JSTA), Vol 23, Iss 3, Pp 224-239 (2024)
Abstract The monitoring of the process relies on the average product lifetime, which adheres to the Lindley distribution and employs a truncated life test-based attribute control chart. Control limits for these charts are determined through a repetit
Externí odkaz:
https://doaj.org/article/fae4d24429f34d398a6aba24f0a229bd
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract In various practical situations, the information about the process distribution is sometimes partially or completely unavailable. In these instances, practitioners prefer to use nonparametric charts as they don’t restrict the assumption of
Externí odkaz:
https://doaj.org/article/5ee4f5b6a7774044b5a7a6580e21aaf3
Publikováno v:
Heliyon, Vol 10, Iss 21, Pp e40001- (2024)
This study discusses Shewhart control charts to monitor the mean of non-normally distributed data using extensive Monte Carlo simulations. In particular, Weibull, exponential, and generalized exponential distributions are used to conduct a systematic
Externí odkaz:
https://doaj.org/article/ad795d7243334cf1ad36100f85767440
Autor:
Zahid Rasheed, Majid Khan, Syed Masroor Anwar, Muhammad Usman Aslam, Showkat Ahmad Lone, Salmeh A. Almutlak
Publikováno v:
Ain Shams Engineering Journal, Vol 15, Iss 9, Pp 102904- (2024)
Stability in process parameters is required to ensure the quality of the finished item. Control charts, as one of the critical parts of statistical process monitoring (SPM), have seen widespread use across many disciplines for detecting and respondin
Externí odkaz:
https://doaj.org/article/eec454955ed7437996c999162c215b41
Publikováno v:
International Journal of Quality & Reliability Management, 2024, Vol. 41, Issue 5, pp. 1400-1416.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJQRM-02-2023-0049
Autor:
Sadaf Ayesha, Asma Arshad, Olayan Albalawi, Aiedh Mrisi Alharthi, Muhammad Hanif, Uzma Yasmeen, Muhammad Nabi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract This research presents a new adaptive exponentially weighted moving average control chart, known as the coefficient of variation (CV) EWMA statistic to study the relative process variability. The production process CV monitoring is a long-te
Externí odkaz:
https://doaj.org/article/6cca9657da22441890a7f94b67083a91
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract The study presents a new parameter free adaptive exponentially weighted moving average (AEWMA) control chart tailored for monitoring process dispersion, utilizing an adaptive approach for determining the smoothing constant. This chart is cra
Externí odkaz:
https://doaj.org/article/fac973c294c349e88b47203fe1d4a92e
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract This article introduces an adaptive approach within the Bayesian Max-EWMA control chart framework. Various Bayesian loss functions were used to jointly monitor process deviations from the mean and variance of normally distributed processes.
Externí odkaz:
https://doaj.org/article/ff776769b56145ee967765d9f87ca67a