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The computational assessment on the performance of products with multi-parts using the Gompertz distribution

類別:期刊論文

學年 / 學期:113-2

出版日期:2025-02-27 00:00:00

著者:Shu-Fei Wu; Chieh-Hsin Peng

著錄名稱、卷期、頁數:Symmetry-Basel 17(3) ,p.363

摘要:The lifetime performance index is widely used in the manufacturing industry to assess the capability and effectiveness of production processes. A new overall lifetime performance index is proposed when multiple parts of products are produced in multiple dependent production lines. Each individual lifetime performance index for a single production line is connected to the overall lifetime performance index for multiple independent or dependent production lines. The overall lifetime performance index increases with the overall process yield. We analyze the maximum likelihood estimators for the individual lifetime performance indices using progressively type I interval-censored samples while the lifetime of the ith part of products follows a Gompertz distribution for either independent or dependent cases. To determine whether the overall lifetime performance index meets the desired target value, the maximum likelihood estimator for the individual index is utilized separately to conduct the testing procedures about the overall lifetime performance index for either independent or dependent cases. Power analysis of the multiple testing procedure is illustrated with figures, and key findings are summarized. A simulation study is conducted for the test powers. Lastly, a practical example involving products with two parts is presented to demonstrate the application of the proposed testing algorithm. Given the asymmetry of the lifetime distribution, this research aligns with the study of asymmetric probability distributions and their diverse applications across various fields.

關鍵字:progressive type I interval-censoring;Gompertz distribution;maximum likelihood estimator;overall lifetime performance index;power analysis

語言:en_US

期刊性質:國外

收錄於:SCI

審稿制度:

國別:TWN

出版型式:電子版