在資訊發達的世紀,隨著消費意識抬頭,為了吸引更多的消費者,廠商必須針對產品做嚴格的把關。本研究計算出最佳抽樣設計,用最少的成本達到最大的效能,以獲得最高利潤且不失產品的品質。 本研究假設產品的壽命服從Exponentiated Fréchet分配,在樣本為逐步型I區間設限樣本下,計算出壽命績效指標C_L之最大概似估計量,定其為檢定統計量建立假設檢定程序,以在逐步型I區間設限下找出最佳抽樣設計使得總成本最小化。最後,用兩個例子實際操作前述所提出的最佳抽樣設計之檢定程序,並得出結論。
In the century of advanced technology and information, manufacturers must strictly control the quality of products in order to attract more consumers. This study assumes that the lifetimes of products have Exponentiated Fréchet distribution. We investigate the optimal sampling design to achieve the maximum efficiency with the least cost to yield the highest profit while conducting the hypothesis test to see if the lifetime performance index exceeding the desired level using the maximum likelihood estimator as testing statistic under progressive type I interval censoring. Finally, two numerical examples are used to actually operate the testing algorithmic procedure based on the sampling design proposed in this study and the conclusions is drawn in the end.