Neutrosophic multivariate EWMA control chart

Wibawati, Muhammad Ahsan*, Hidayatul Khusna

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


The MEWMA chart is one of the traditional multivariate charts which are widely employed in inspecting the quality of manufacturing and services. This chart is created through monitoring the small shifts of mean vectors of variable quality characteristics. Often in practice, the measurement of a quality characteristic produces uncertain, incomplete values, so that ambiguous numbers are obtained. In this condition, a neutrosophic-based control chart can overcome the problem resulting from the ambiguous data. The paper’s objective is to construct a new multivariate monitoring scheme based on a neutrosophic chart, namely the neutrosophic Multivariate EWMA (NMEWMA). Furthermore, the performance of the new multivariate monitoring scheme is evaluated in detecting process shifts employing the Average Run Length (ARL) and Standard Deviation Run Length (SDRL). This control chart is an innovation in the quality monitoring of uncertain data. The research result obtained indicates that the NMEWMA chart performs better than the MEWMA in finding the small mean shifts as well as in the real case application.

Original languageEnglish
Pages (from-to)807-816
Number of pages10
JournalDecision Science Letters
Issue number4
Publication statusPublished - 1 Sept 2023


  • Average run length
  • Control chart
  • Industry
  • Innovation
  • Multivariate
  • Neutrosophic


Dive into the research topics of 'Neutrosophic multivariate EWMA control chart'. Together they form a unique fingerprint.

Cite this