期刊論文
| 學年 | 105 |
|---|---|
| 學期 | 1 |
| 出版（發表）日期 | 2016-09-28 |
| 作品名稱 | Empirical Bayesian strategy for sampling plans with warranty under truncated censoring |
| 作品名稱（其他語言） | |
| 著者 | Jyun-You Chiang; Y.L. Lio; Tzong-Ru Tsai |
| 單位 | |
| 出版者 | |
| 著錄名稱、卷期、頁數 | International Journal of Reliability, Quality and Safety Engineering 23(5), p.1650021 |
| 摘要 | To reach an optimal acceptance sampling decision for products, whose lifetimes are Burr type XII distribution, sampling plans are developed with a rebate warranty policy based on truncated censored data. The smallest sample size and acceptance number are determined to minimize the expected total cost, which consists of the test cost, experimental time cost, the cost of lot acceptance or rejection, and the warranty cost. A new method, which combines a simple empirical Bayesian method and the genetic algorithm (GA) method, named the EB-GA method, is proposed to estimate the unknown distribution parameter and hyper-parameters. The parameters of the GA are determined through using an optimal Taguchi design procedure to reduce the subjectivity of parameter determination. An algorithm is presented to implement the EB-GA method. The application of the proposed method is illustrated by an example. Monte Carlo simulation results show that the EB-GA method works well for parameter estimation in terms of small bias and mean square error. |
| 關鍵字 | Genetic algorithm;loss function;posterior density function;prior density function;truncated life test |
| 語言 | en |
| ISSN | 0218-5393; 1793-6446 |
| 期刊性質 | 國外 |
| 收錄於 | EI Scopus |
| 產學合作 | |
| 通訊作者 | Tzong-Ru Tsai |
| 審稿制度 | 否 |
| 國別 | SGP |
| 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/987654321/110017 ) |