Evidence map›Paper›PMID 40634583›Full record

ArticleScientific reports2025

Design of an EWMA control chart by adaptation of smoothing constant based on a function of estimated shift.

Hadeel AlQadi, Walid Abdelfattah, Tahir Abbas, Abdullah Ali H Ahmadini, Amani Idris Ahmed Sayed, Bakhtiyar Ahmad

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Hadeel AlQadiDepartment of Mathematics, College of Science, Jazan University, P.O. Box. 114, 45142, Jazan, Kingdom of Saudi Arabia.
Walid AbdelfattahDepartment of Mathematics, College of Science, Northern Border University, Arar, Saudi Arabia. walid.abdelfattah@nbu.edu.sa.
Tahir AbbasDepartment of Mathematics, College of Sciences, University of Sharjah, Sharjah, United Arab Emirates.
Abdullah Ali H AhmadiniDepartment of Mathematics, College of Science, Jazan University, P.O. Box. 114, 45142, Jazan, Kingdom of Saudi Arabia.
Amani Idris Ahmed SayedDepartment of Mathematics, College of Science, Jazan University, P.O. Box. 114, 45142, Jazan, Kingdom of Saudi Arabia.
Bakhtiyar AhmadHigher Education Department Afghanistan, Kabul, Afghanistan. mbakahmad82@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study introduces a novel Adaptive EWMA (AEWMA) control chart designed to monitor the mean of a normally distributed process with enhanced responsiveness. The proposed methodology dynamically adjusts the smoothing constant based on a proposed continuous function of the estimated mean shift derived from the EWMA statistic. The Monte Carlo simulations are conducted to assess the performance of the AEWMA chart across various magnitudes of process mean shifts, using run-length profiles as the primary evaluation metric. The results indicate that the AEWMA chart outperforms traditional methods in terms of detection efficiency. To demonstrate its practical applicability, the AEWMA chart is applied to a real-world manufacturing dataset, specifically analyzing the flow width resistance of substrates. The findings highlight the efficiency of the proposed chart, making it a valuable tool for improving process monitoring and quality control in industrial environments.

Indexed as

Adaptive control chartAverage run lengthControl chartStatistical process control

Identifiers

PMID40634583
PMCPMC12241359

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.