Variable sample size based EWMA control chart with an exponential scaling mechanism for production process monitoring Article Swipe
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· 2025
· Open Access
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· DOI: https://doi.org/10.1038/s41598-025-16531-2
Statistical Process Control is essential for ensuring process stability and detecting variations in a production environment. This study introduces a control chart based on the Exponentially Weighted Moving Average (EWMA) that uses an adaptive sample size. The proposed approach enhances shift detection by dynamically adjusting the sample size in response to changes in process variation. Extensive Monte Carlo simulations were performed to assess the performance of the proposed control chart, focusing on metrics such as the Average Run Length (ARL) and the Standard Deviation of Run Length (SDRL). The findings show that the new chart surpasses both the Fixed Sample Size EWMA (FEWMA) and the Variable Sample Size EWMA charts, particularly in detecting small to moderate shifts in the process. This approach strikes a balance between detection sensitivity and computational efficiency, enabling prompt identification of process changes while maintaining robustness during in-control conditions. To illustrate its practical applicability, a real-world dataset was analyzed, demonstrating the effectiveness of the proposed method in actual process monitoring scenarios.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41598-025-16531-2
- https://www.nature.com/articles/s41598-025-16531-2.pdf
- OA Status
- gold
- References
- 25
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4413419105
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4413419105Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1038/s41598-025-16531-2Digital Object Identifier
- Title
-
Variable sample size based EWMA control chart with an exponential scaling mechanism for production process monitoringWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-08-22Full publication date if available
- Authors
-
Ibrahim Nafisah, Mohammed M. A. Almazah, A. Y. Al-Rezami, Saddam HussainList of authors in order
- Landing page
-
https://doi.org/10.1038/s41598-025-16531-2Publisher landing page
- PDF URL
-
https://www.nature.com/articles/s41598-025-16531-2.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.nature.com/articles/s41598-025-16531-2.pdfDirect OA link when available
- Concepts
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EWMA chart, Control chart, Sample size determination, Statistical process control, Computer science, Robustness (evolution), Statistics, Standard deviation, Chart, Process (computing), Process control, Control limits, Mathematics, Operating system, Chemistry, Gene, BiochemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
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25Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| primary_location.pdf_url | https://www.nature.com/articles/s41598-025-16531-2.pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by-nc-nd |
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| primary_location.landing_page_url | https://doi.org/10.1038/s41598-025-16531-2 |
| publication_date | 2025-08-22 |
| publication_year | 2025 |
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