期刊論文
| 學年 | 114 |
|---|---|
| 學期 | 1 |
| 出版（發表）日期 | 2025-09-01 |
| 作品名稱 | Optimal progressively censored reliability sampling plans for log-location-scale distributions |
| 作品名稱（其他語言） | |
| 著者 | Chien-Tai Lin; Shao-Lun Jian; N. Balakrishnan |
| 單位 | |
| 出版者 | |
| 著錄名稱、卷期、頁數 | Quality Technology & Quantitative Management |
| 摘要 | Here, we introduce a variable neighborhood search algorithm-based approach to determine the minimum sample sizes required for progressively censored reliability sampling plans within the flexible family of log-location-scale family of distributions, which includes Weibull and log-logistic distributions. The proposed method significantly reduces sample sizes compared to previously developed approaches, demonstrating its feasibility, especially for small sample sizes, in contrast to complete search methods. Optimal censoring plans are identified using 𝐴- and 𝐷-optimality criteria, a variance-measure criterion, and a cost function-based criterion. The proposed approach consistently outperforms the methods discussed in the literature for the case of Weibull distribution. Furthermore, an additional optimization problem with a cost constraint is addressed to illustrate the practicality and efficiency of the proposed method, and a sensitivity analysis is also carried out. |
| 關鍵字 | Acceptance sampling; log-logistic distribution; optimal criteria; variable neighborhood search algorithm; Weibull distribution |
| 語言 | en |
| ISSN | |
| 期刊性質 | 國外 |
| 收錄於 | SCI |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 是 |
| 國別 | USA |
| 公開徵稿 | |
| 出版型式 | ,電子版 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/128659 ) |