Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Jean-Claude Malela-Majika"'
Publikováno v:
AIP Advances, Vol 13, Iss 12, Pp 125211-125211-15 (2023)
Probability distributions have prominent applications in different sectors. Among these sectors, probability models are mostly used to analyze datasets in engineering. Among the existing probability distributions, the two-parameter Weibull model play
Externí odkaz:
https://doaj.org/article/d47ebc942a6f4f8694060c5584621d18
Publikováno v:
Mathematics, Vol 12, Iss 5, p 637 (2024)
The homogeneously weighted moving average (HWMA) chart is a recent control chart that has attracted the attention of many researchers in statistical process control (SPC). The HWMA statistic assigns a higher weight to the most recent sample, and the
Externí odkaz:
https://doaj.org/article/fa602ee005934d118085e675bf3861c4
Publikováno v:
IEEE Access, Vol 10, Pp 6126-6146 (2022)
Many studies have shown that industrial as well as non-industrial business organisations present a growing need of robust and more efficient multivariate monitoring schemes in order to be able to monitor several quality characteristics simultaneous.
Externí odkaz:
https://doaj.org/article/429188a3eec94fb0957d36e4c79593d6
Publikováno v:
PLoS ONE, Vol 17, Iss 1 (2022)
A homogeneously weighted moving average (HWMA) monitoring scheme is a recently proposed memory-type scheme that gained its popularity because of its simplicity and superiority over the exponentially weighted moving average (EWMA) and cumulative sum (
Externí odkaz:
https://doaj.org/article/0b67a44fac9a4424b91adb4b851f801e
Publikováno v:
International Journal of Industrial Engineering Computations, Vol 11, Iss 4, Pp 607-626 (2020)
Autocorrelation and measurement errors have a negative effect on the performance of any monitoring scheme; therefore, more efficient monitoring schemes are required to monitor such special processes. Hence, in this paper, the use of improved syntheti
Externí odkaz:
https://doaj.org/article/919591699ce448b8ab8174a7e1344bd2
Publikováno v:
IEEE Access, Vol 8, Pp 221352-221366 (2020)
In statistical process monitoring, the usual assumption when designing monitoring schemes is that process parameters are known and have perfect measurements with independent and identically distributed observations. However, in real-life situation, t
Externí odkaz:
https://doaj.org/article/e741e34eb92146299e212c14c04554f7
Publikováno v:
International Journal of Industrial Engineering Computations, Vol 11, Iss 2, Pp 235-254 (2019)
Distribution-free (or nonparametric) monitoring schemes are needed in industrial, chemical and biochemical processes or any other analytical non-industrial process when the assumption of normality fails to hold. The Mann-Whitney (MW) test is one of t
Externí odkaz:
https://doaj.org/article/53d9f72cda8e4f71b9ffedbecc44f551
Publikováno v:
Journal of Industrial Engineering International, Vol 15, Iss 3, Pp 449-478 (2019)
Abstract In this paper, Burr-type XII $$\bar{X}$$ X ¯ synthetic schemes are proposed as an alternative to the classical $$\bar{X}$$ X ¯ synthetic schemes when the assumption of normality fails to hold. First, the basic design of the Burr-type XII $
Externí odkaz:
https://doaj.org/article/672042f384964ec7a859f25d023315b7
Autor:
Muhammad Aslam, Ambreen Shafqat, Mohammed Albassam, Jean-Claude Malela-Majika, Sandile C Shongwe
Publikováno v:
PLoS ONE, Vol 16, Iss 2, p e0246185 (2021)
In these last few decades, control charts have received a growing interest because of the important role they play by improving the quality of the products and services in industrial and non-industrial environments. Most of the existing control chart
Externí odkaz:
https://doaj.org/article/82696a2f68864520821a05fd26bf9af9
Autor:
Muhammad Aslam, Ambreen Shafqat, G. Srinivasa Rao, Jean-Claude Malela-Majika, Sandile C. Shongwe
Publikováno v:
Journal of Mathematics, Vol 2020 (2020)
This paper proposes a new control chart for the Birnbaum–Saunders distribution based on multiple dependent state repetitive sampling (MDSRS). The proposed control chart is a generalization of the control charts based on single sampling, repetitive
Externí odkaz:
https://doaj.org/article/66bcbd88ed37418c9371c015259cc2f3