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Growing Science » Decision Science Letters » Neutrosophic multivariate EWMA control chart

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Decision Science Letters

ISSN 1929-5812 (Online) - ISSN 1929-5804 (Print)
Quarterly Publication
Volume 12 Issue 4 pp. 807-816 , 2023

Neutrosophic multivariate EWMA control chart Pages 807-816 Right click to download the paper Download PDF

Authors: Wibawati Wibawati, Muhammad Ahsan, Hidayatul Khusna

DOI: 10.5267/j.dsl.2023.6.001

Keywords: Control chart, Industry, Innovation, NMEWMA, Multivariate, Neutrosophic, Average run length

Abstract: 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.

How to cite this paper
Wibawati, W., Ahsan, M & Khusna, H. (2023). Neutrosophic multivariate EWMA control chart.Decision Science Letters , 12(4), 807-816.

Refrences
Ajadi, J. O., Zwetsloot, I. M., & Tsui, K.-L. (2021). A new robust multivariate EWMA dispersion control chart for individual observations. Mathematics, 9(9), 1038.
Aslam, M. (2019). Control chart for variance using repetitive sampling under neutrosophic statistical interval system. IEEE Access, 7, 25253–25262.
Aslam, M., AL-Marshadi, A. H., & Khan, N. (2019). A new X-bar control chart for using neutrosophic exponentially weighted moving average. Mathematics, 7(10), 957.
Aslam, M., & Arif, O. H. (2020). Multivariate analysis under indeterminacy: An application to chemical content data. Journal of Analytical Methods in Chemistry, 2020.
Aslam, M., Khan, K., Albassam, M., & Ahmad, L. (2023). Moving average control chart under neutrosophic statistics. AIMS Mathematics, 8(3), 7083–7096.
Aslam, M., & Khan, N. (2019). A new variable control chart using neutrosophic interval method-an application to automobile industry. Journal of Intelligent & Fuzzy Systems, 36(3), 2615–2623.
Chen, J., Ye, J., & Du, S. (2017). Scale effect and anisotropy analyzed for neutrosophic numbers of rock joint roughness coefficient based on neutrosophic statistics. Symmetry, 9(10), 208.
Chen, J., Ye, J., Du, S., & Yong, R. (2017). Expressions of rock joint roughness coefficient using neutrosophic interval statistical numbers. Symmetry, 9(7), 123.
Chong, N. L., Khoo, M. B., Haq, A., & Castagliola, P. (2019). Hotelling’s T2 control charts with fixed and variable sample sizes for monitoring short production runs. Quality and Reliability Engineering International, 35(1), 14–29.
Imran, M., Sun, J., Zaidi, F. S., Abbas, Z., & Nazir, H. Z. (2022). Multivariate cumulative sum control chart for compositional data with known and estimated process parameters. Quality and Reliability Engineering International, 38(5), 2691–2714.
Khademi, M., & Amirzadeh, V. (2014). Fuzzy rules for fuzzy $ overline {X} $ and $ R $ control charts. Iranian Journal of Fuzzy Systems, 11(5), 55–66.
Khan, M. Z., Khan, M. F., Aslam, M., Niaki, S. T. A., & Mughal, A. R. (2018). A fuzzy EWMA attribute control chart to monitor process mean. Information, 9(12), 312.
Khan, N., Ahmad, L., & Aslam, M. (2022). Monitoring Using X-Bar Control Chart Using Neutrosophic-Based Generalized Multiple Dependent State Sampling with Application. International Journal of Computational Intelligence Systems, 15(1), 73.
Khan, Z., Gulistan, M., Chammam, W., Kadry, S., & Nam, Y. (2020). A new dispersion control chart for handling the neutrosophic data. IEEE Access, 8, 96006–96015.
Khan, Z., Gulistan, M., Hashim, R., Yaqoob, N., & Chammam, W. (2020). Design of S-control chart for neutrosophic data: An application to manufacturing industry. Journal of Intelligent & Fuzzy Systems, Preprint, 1–9.
Lowry, C. A., Woodall, W. H., Champ, C. W., & Rigdon, S. E. (1992). A multivariate exponentially weighted moving average control chart. Technometrics, 34(1), 46–53.
Montgomery, D. C. (2020). Introduction to statistical quality control. John Wiley & Sons.
Rowlands, H., & Wang, L. R. (2000). An approach of fuzzy logic evaluation and control in SPC. Quality and Reliability Engineering International, 16(2), 91–98.
Saritha, M., & Varadharajan, R. (2023). Multivariate Hotelling-T 2 Control Chart for Neutrosophic Data.
Senturk, S., & Erginel, N. (2009). Development of fuzzy X∼-R∼ and X∼-S∼ control charts using α-cuts. Information Sciences, 179(10), 1542–1551.
Shah, F., Aslam, M., & Khan, Z. (2023). New Control Chart Based On Neutrosophic Maxwell Distribution with Decision Making Applications. Neutrosophic Sets and Systems, 53(1), 18.
Smarandache, F. (n.d.). Introduction to Neutrosophic Statistics. 2014. Craiova: Sitech & Education Publishing.
Smarandache, F. (2010). Neutrosophic logic-a generalization of the intuitionistic fuzzy logic. Multispace & Multistructure. Neutrosophic Transdisciplinarity (100 Collected Papers of Science), 4, 396.
Smarandache, F. (2014). Introduction to Neutrosophic Statistics. ArXiv, abs/1406.2000.
Tiryaki, S., & Aydin, A. (2022). Multivariate Hotelling T2 Control Chart for Monitoring Some Quality Characteristics in Medium Density Fiberboard Manufacturing Process. Drvna Industrija, 73(1), 35–46.
Wibawati, W., Ahsan, M., Khusna, H., Qori’atunnadyah, M., & Udiatami, W. (2022). Multivariate Control Chart based on Neutrosophic Hotelling T2 Statistics and Its Application. JTAM, Vol 6, No 1. https://doi.org/10.31764/jtam.v6i1.5442
Xie, F., Sun, J., Castagliola, P., Hu, X., & Tang, A. (2021). A multivariate CUSUM control chart for monitoring Gumbel’s bivariate exponential data. Quality and Reliability Engineering International, 37(1), 10–33.
Zadeh, L. A. (2005). Toward a generalized theory of uncertainty (GTU)––an outline. Information Sciences, 172(1–2), 1–40.

 
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Journal: Decision Science Letters | Year: 2023 | Volume: 12 | Issue: 4 | Views: 898 | Reviews: 0

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