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Erschienen in: Soft Computing 21/2020

02.05.2020 | Methodologies and Application

Design of NEWMA np control chart for monitoring neutrosophic nonconforming items

verfasst von: Muhammad Aslam, Rashad A. R. Bantan, Nasrullah Khan

Erschienen in: Soft Computing | Ausgabe 21/2020

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Abstract

We will introduce a neutrosophic exponentially weighted moving average (NEWMA) statistic for the attribute data. We will use the proposed NEWMA to design an attribute control chart. We will introduce the neutrosophic Monte Carlo simulation to find the neutrosophic average run length (NARL). The comparative study shows the efficiency of the proposed NEWMA attribute. Two examples of having neutrosophic parameters will be given to explain the proposed control chart. We hope that the proposed chart will perform better under uncertainty.

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Metadaten
Titel
Design of NEWMA np control chart for monitoring neutrosophic nonconforming items
verfasst von
Muhammad Aslam
Rashad A. R. Bantan
Nasrullah Khan
Publikationsdatum
02.05.2020
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 21/2020
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-020-04964-y

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