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Design of NEWMA np control chart for monitoring neutrosophic nonconforming items

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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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Acknowledgements

The authors are deeply thankful to the editor and the reviewers for their valuable suggestions to improve the quality of this manuscript. This work was funded by the Deanship of Scientific Research (DSR), King Abdulaziz University, Jeddah, under Grant No. (130-245-D1440). The authors, therefore, gratefully acknowledge the DSR technical and financial support.

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Authors and Affiliations

  1. Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah, 21551, Saudi Arabia

    Muhammad Aslam

  2. Department of Marine Geology, Faculty of Marine Science, King Abdulaziz University, Jeddah, 21551, Saudi Arabia

    Rashad A. R. Bantan

  3. Department of Statistics, University of Veterinary and Animal Sciences, Jhang Campus, Lahore, Pakistan

    Nasrullah Khan

Authors
  1. Muhammad Aslam
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  2. Rashad A. R. Bantan
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  3. Nasrullah Khan
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Correspondence to Muhammad Aslam.

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Communicated by V. Loia.

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Aslam, M., Bantan, R.A.R. & Khan, N. Design of NEWMA np control chart for monitoring neutrosophic nonconforming items. Soft Comput 24, 16617–16626 (2020). https://doi.org/10.1007/s00500-020-04964-y

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