Process Monitoring for Gamma Distributed Product under Neutrosophic Statistics Using Resampling Scheme

In this article, a repetitive sampling control chart for the gamma distribution under the indeterminate environment has been presented. The control chart coefficients, probability of in-control, probability of out-of-control, and average run lengths have been determined under the assumption of the s...

Full description

Saved in:
Bibliographic Details
Main Authors: Abdullah M. Almarashi, Muhammad Aslam
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2021/6635846
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832550859797430272
author Abdullah M. Almarashi
Muhammad Aslam
author_facet Abdullah M. Almarashi
Muhammad Aslam
author_sort Abdullah M. Almarashi
collection DOAJ
description In this article, a repetitive sampling control chart for the gamma distribution under the indeterminate environment has been presented. The control chart coefficients, probability of in-control, probability of out-of-control, and average run lengths have been determined under the assumption of the symmetrical property of the normal distribution using the neutrosophic interval method. The performance of the designed chart has been evaluated using the average run length measurements under different process settings for an indeterminate environment. In-control and out-of-control nature of the proposed chart under different levels of shifts have been described. The comparison of the proposed chart has been made with the existing chart. A real-world example from the healthcare department has been included for the practical application of the proposed chart. It has been observed from the simulation study and real example that the proposed control chart is efficient in quick monitoring of the out-of-control process. It can be concluded that the proposed control chart can be applied effectively in uncertainty.
format Article
id doaj-art-bd84b2cf4ec04c34bc59814384b60186
institution Kabale University
issn 2314-4629
2314-4785
language English
publishDate 2021-01-01
publisher Wiley
record_format Article
series Journal of Mathematics
spelling doaj-art-bd84b2cf4ec04c34bc59814384b601862025-02-03T06:05:45ZengWileyJournal of Mathematics2314-46292314-47852021-01-01202110.1155/2021/66358466635846Process Monitoring for Gamma Distributed Product under Neutrosophic Statistics Using Resampling SchemeAbdullah M. Almarashi0Muhammad Aslam1Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah 21551, Saudi ArabiaDepartment of Statistics, Faculty of Science, King Abdulaziz University, Jeddah 21551, Saudi ArabiaIn this article, a repetitive sampling control chart for the gamma distribution under the indeterminate environment has been presented. The control chart coefficients, probability of in-control, probability of out-of-control, and average run lengths have been determined under the assumption of the symmetrical property of the normal distribution using the neutrosophic interval method. The performance of the designed chart has been evaluated using the average run length measurements under different process settings for an indeterminate environment. In-control and out-of-control nature of the proposed chart under different levels of shifts have been described. The comparison of the proposed chart has been made with the existing chart. A real-world example from the healthcare department has been included for the practical application of the proposed chart. It has been observed from the simulation study and real example that the proposed control chart is efficient in quick monitoring of the out-of-control process. It can be concluded that the proposed control chart can be applied effectively in uncertainty.http://dx.doi.org/10.1155/2021/6635846
spellingShingle Abdullah M. Almarashi
Muhammad Aslam
Process Monitoring for Gamma Distributed Product under Neutrosophic Statistics Using Resampling Scheme
Journal of Mathematics
title Process Monitoring for Gamma Distributed Product under Neutrosophic Statistics Using Resampling Scheme
title_full Process Monitoring for Gamma Distributed Product under Neutrosophic Statistics Using Resampling Scheme
title_fullStr Process Monitoring for Gamma Distributed Product under Neutrosophic Statistics Using Resampling Scheme
title_full_unstemmed Process Monitoring for Gamma Distributed Product under Neutrosophic Statistics Using Resampling Scheme
title_short Process Monitoring for Gamma Distributed Product under Neutrosophic Statistics Using Resampling Scheme
title_sort process monitoring for gamma distributed product under neutrosophic statistics using resampling scheme
url http://dx.doi.org/10.1155/2021/6635846
work_keys_str_mv AT abdullahmalmarashi processmonitoringforgammadistributedproductunderneutrosophicstatisticsusingresamplingscheme
AT muhammadaslam processmonitoringforgammadistributedproductunderneutrosophicstatisticsusingresamplingscheme