LAPSE:2019.1333
Published Article
LAPSE:2019.1333
Design of S2N—NEWMA Control Chart for Monitoring Process having Indeterminate Production Data
Muhammad Aslam, Rashad A. R. Bantan, Nasrullah Khan
December 10, 2019
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.
Keywords
monitoring, neutrosophic, neutrosophic logarithmic transformation, numbers, variance
Suggested Citation
Aslam M, Bantan RAR, Khan N. Design of S2N—NEWMA Control Chart for Monitoring Process having Indeterminate Production Data. (2019). LAPSE:2019.1333
Author Affiliations
Aslam M: Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah 21551, Saudi Arabia [ORCID]
Bantan RAR: Department of Marine Geology, Faculty of Marine Science, King Abdulaziz University, Jeddah 21551, Saudi Arabia
Khan N: Department of Statistics, University of Veterinary and Animal Sciences, Lahore 54000, Jhang campus, Pakistan [ORCID]
Journal Name
Processes
Volume
7
Issue
10
Article Number
E742
Year
2019
Publication Date
2019-10-14
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr7100742, Publication Type: Journal Article
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LAPSE:2019.1333
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doi:10.3390/pr7100742
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Dec 10, 2019
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CC BY 4.0
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[v1] (Original Submission)
Dec 10, 2019
 
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Dec 10, 2019
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Original Submitter
Calvin Tsay
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