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A New Dispersion Control Chart for Handling the Neutrosophic Data

  • Zahid Khan
  • , Muhammad Gulistan
  • , Wathek Chammam
  • , Seifedine Kadry
  • , Yunyoung Nam
  • Hazara University
  • Majmaah University
  • Beirut Arab University
  • Soonchunhyang University

Research output: Contribution to journalArticlepeer-review

33 Scopus citations

Abstract

The control chart based on mean deviation (MD) is customary used as a robust alternative to the existing Shewhart control charts for observing changes in dispersion parameter of the process. The existing model of MD control chart is rooted under the assumption that indeterminate observations are not included in measured quality characteristic. If, inspected quality data entail some indeterminate and vague information, typical design of the MD control chart could not be effectively employed. This study originally presents an appropriate generalized design namely neutrosophic mean deviation (MD) control chart that could accommodate imprecise observations in collected quality characteristic variables. Under the neutrosophic situation, the related properties of this newly MD design have been derived. Using simulated data, performance of the MD control chart in terms of neutrosophic average run length ( ARL) is investigated. The performance of proposed MD control chart relative to existing competitor designs has been evaluated. The study reveals that proposed design of MD chart outperforms as to existing counterparts in terms of statistical power. To illustrate the efficacy of this new design, real data from a manufacturing company has been used to describe the control procedure of the proposed MD control chart.

Original languageEnglish
Article number9097255
Pages (from-to)96006-96015
Number of pages10
JournalIEEE Access
Volume8
DOIs
StatePublished - 2020
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Fuzzy control charts
  • mean deviation
  • neutrosophic data
  • probability limits
  • variability control charts

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