Zobrazeno 1 - 10
of 937
pro vyhledávání: '"Statistical process monitoring"'
Autor:
Daniel P. Howsmon, Matthew F. Mikulski, Nikhil Kabra, Joyce Northrup, Daniel Stromberg, Charles D. Fraser Jr, Carlos M. Mery, Richard P. Lion
Publikováno v:
Bioengineering & Translational Medicine, Vol 9, Iss 6, Pp n/a-n/a (2024)
Abstract Postoperative critical care management of congenital heart disease patients requires prompt intervention when the patient deviates significantly from clinician‐determined vital sign and hemodynamic goals. Current monitoring systems only al
Externí odkaz:
https://doaj.org/article/68e239bc4bae4833926e8a19623f7869
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:
Journal of Infection and Public Health, Vol 16, Iss 12, Pp 2038-2045 (2023)
Background: When the COVID-19 pandemic hit Saudi Arabia, decision-makers were confronted with the difficult task of implementing treatment and disease prevention measures. To make effective decisions, officials must monitor several pandemic attribute
Externí odkaz:
https://doaj.org/article/4a8a5a2f91fa48f9b3777eaf02c9d6c1
Autor:
Tahir Mahmood
Publikováno v:
Journal of King Saud University: Science, Vol 36, Iss 4, Pp 103145- (2024)
Rising industrial pollution, exacerbated by climate change, underscores the need for effective environmental monitoring. Leveraging sensor advancements and Birnbaum-Saunders distribution, this study introduces a novel surveillance method for environm
Externí odkaz:
https://doaj.org/article/f4bc67e9aebb40c7a30dfff6c1f62af7
Publikováno v:
Axioms, Vol 13, Iss 6, p 392 (2024)
Monitoring the parameter of discrete distributions is common in industrial production. Also, it is often crucial to monitor the parameter of geometric distribution, which is often regarded as the nonconforming item rate. To enhance the detection of n
Externí odkaz:
https://doaj.org/article/b41154cbde0a4b19a83d20294283c22d
Publikováno v:
Axioms, Vol 13, Iss 6, p 393 (2024)
Monitoring the ratio of two correlated normal random variables is often used in many industrial manufacturing processes. At the same time, measurement errors inevitably exist in most processes, which have different effects on the performance of vario
Externí odkaz:
https://doaj.org/article/aaad630fb670469c94a8663ea3102424
Autor:
Zezhong Wang, Inez Maria Zwetsloot
Publikováno v:
IEEE Access, Vol 11, Pp 66415-66427 (2023)
Dengue is a severe mosquito-borne epidemic disease. There is no effective vaccine for dengue, so a real-time surveillance system becomes crucial to detect dengue outbreaks. Control charts have been widely used as efficient tools to identify changes i
Externí odkaz:
https://doaj.org/article/bbeaa356a6f344a5b1d777a14d0aac78
Publikováno v:
IEEE Access, Vol 11, Pp 56248-56272 (2023)
In recent years, the adoption of statistical process monitoring (SPM) techniques in healthcare has been successful. For instance, biosurveillance and biosignal monitoring have demonstrated direct benefits. As the latest reviews of the literature show
Externí odkaz:
https://doaj.org/article/75159b3931614fd3b2e19f19c61279e8
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