Optimal design of risk-based average charts for autocorrelated measurements
| dc.contributor.author | Saghir, Aamir | |
| dc.contributor.author | Khan, Zahid Younas | |
| dc.contributor.author | Malela-Majika, Jean Claude | |
| dc.contributor.author | Kosztyán, Zsolt Tibor | |
| dc.date.accessioned | 2025-10-02T07:40:49Z | |
| dc.date.available | 2025-10-02T07:40:49Z | |
| dc.date.issued | 2025-12 | |
| dc.description | COMPUTATIONAL CODE AVAILABILITY : The R code used in this study is available from the corresponding author upon request and is ready for direct application by practitioners and researchers. DATA AVAILABILITY : Data sharing does not apply to this article, as no new data were created or analyzed in this study. The real dataset is publicly available in the rbcc R package under the name t2uc (https://CRAN.R-project.org/package=rbcc). | |
| dc.description.abstract | Please read abstract in the article. HIGHLIGHTS • Developed two Risk-Based (RB) average charts for monitoring autoregressive processes • Design improves RB chart cost-efficiency under autocorrelated conditions • TCharts validated via real-world data and autocorrelated simulations • Sensitivity analysis conducted to support practical implementation | |
| dc.description.department | Statistics | |
| dc.description.librarian | hj2025 | |
| dc.description.sdg | SDG-12: Responsible consumption and production | |
| dc.description.sponsorship | This work was implemented by the TKP2021-NVA-10 project with support provided by the Ministry of Culture and Innovation of Hungary from the National Research, Development and Innovation Fund, financed under the 2021 Thematic Excellence Programme funding scheme. | |
| dc.description.uri | http://www.sciencedirect.com/journal/results-in-engineering | |
| dc.identifier.citation | Saghir, A., Khan, Z.Y., Malela-Majika, J.C. & Kosztyán, Z.T. 2025, 'Optimal design of risk-based average charts for autocorrelated measurements', Results in Engineering, vol. 28, art. 107278, pp. 1-13, doi : 10.1016/j.rineng.2025.107278. | |
| dc.identifier.issn | 2590-1230 (online) | |
| dc.identifier.other | 10.1016/j.rineng.2025.107278 | |
| dc.identifier.uri | http://hdl.handle.net/2263/104576 | |
| dc.language.iso | en | |
| dc.publisher | Elsevier | |
| dc.rights | © 2025 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). | |
| dc.subject | Control charts | |
| dc.subject | Statistical process control (SPC) | |
| dc.subject | Risk-based control charts (RBCCs) | |
| dc.subject | Autocorrelation | |
| dc.subject | Decision error | |
| dc.subject | Exponentially weighted moving average (EWMA) | |
| dc.subject | Measurement uncertainty | |
| dc.subject | Optimization | |
| dc.subject | Phase I | |
| dc.title | Optimal design of risk-based average charts for autocorrelated measurements | |
| dc.type | Article |