Neutrosophic multivariate EWMA control chart

被引:1
|
作者
Wibawati [1 ]
Ahsan, Muhammad [1 ]
Khusna, Hidayatul [1 ]
机构
[1] Inst Teknol Sepuluh Nopember, Dept Stat, Surabaya 60111, Indonesia
关键词
Control chart; Industry; Innovation; NMEWMA; Multivariate; Neutrosophic; Average run length; FUZZY;
D O I
10.5267/dsl.2023.6.001
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
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.(c) 2023 by the authors; licensee Growing Science, Canada.
引用
收藏
页码:807 / 816
页数:10
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