Work

Design of S2N—NEWMA Control Chart for Monitoring Process having Indeterminate Production Data

Year: 2019

Type: article

Abstract: The existing charts for monitoring the variance are designed under the assumption that all production data must consist of exact, precise, and determined observations. This paper presents the design of a new neutrosophic exponentially weighted moving average (NEWMA) combining with a neutrosophic logarithmic transformation chart for monitoring the variance having neutrosophic numbers. The computation of the neutrosophic control chart parameters is done through the neutrosophic Monte Carlo simulation (NMCS). The performance of the proposed chart is discussed with the existing charts.

Source: Processes

DOI: 10.3390/pr7100742

Authors: Muhammad Aslam, Rashad Bantan, Nasrullah Khan

Institutions: King Abdulaziz University, University of Veterinary and Animal Sciences

Language: English

Topic: Advanced Statistical Process Monitoring

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $1,216

Funder: King Abdulaziz University