Performance of a New Time-Truncated Control Chart for Weibull Distribution Under Uncertainty

Authors

Ali Hussein AL-Marshadi¹, Ambreen Shafqat², Muhammad Aslam^{1, *,} , Abdullah Alharbey¹

¹Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah, 21551, Saudi Arabia

²Department of Statistics and Financial Mathematics, School of Science, Nanjing University of Science and Technology, Nanjing, Jiangsu, P.R. China

^*Corresponding author. Email: aslam_ravian@hotmail.com

DOI

10.2991/ijcis.d.210331.001How to use a DOI?

Keywords

Weibull distribution; Neutrosophic Weibull distribution; Attribute chart; Time truncated; Shift

Abstract

To detect indeterminacy effect in the manufacturing process, attribute control chart using neutrosophic Weibull distribution is proposed in this paper. To make the attribute control chart more efficient for persistent shifts in the industrial process, an attribute control chart using Weibull distribution has been proposed recently. In this study, a neutrosophic Weibull distribution-based attribute control chart develop for efficient monitoring of the process. The indeterminacy effect was studied with the control chart's performance using characteristics of run length. In addition, the proposed chart effectively detected shifts in uncertainty. The relative efficiency of the proposed structure is compared with the existing attribute control chart under the Weibull time-truncated life test. The relative analysis reveals that the proposed time-truncated control chart for Weibull distribution under uncertainty design performance more efficiently than the existing counterparts. From the comparison, the proposed chart provides smaller values for the out-of-control average run length as compared to the existing attribute control chart. An illustrative application related to automobile manufacturing is also incorporated to demonstrate the proposal.

Copyright

© 2021 The Authors. Published by Atlantis Press B.V.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Ali Hussein AL-Marshadi
AU  - Ambreen Shafqat
AU  - Muhammad Aslam
AU  - Abdullah Alharbey
PY  - 2021
DA  - 2021/04/06
TI  - Performance of a New Time-Truncated Control Chart for Weibull Distribution Under Uncertainty
JO  - International Journal of Computational Intelligence Systems
SP  - 1256
EP  - 1262
VL  - 14
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.210331.001
DO  - 10.2991/ijcis.d.210331.001
ID  - AL-Marshadi2021
ER  -