製程能力分析被廣泛應用於品質控制，以監控企業製程的績效。在實務上，壽命績效指標CL是用以評估品質績效較受歡迎的方法。很多商品的壽命模式是非常態分配，如韋伯分配被廣泛用於電子商品壽命、機械零件壽命與系統等的可靠度工程上。並且在壽命測試實驗中，資料蒐集上由於時間限制或其他限制（如金錢、材料資源、機器或實驗困難），使實驗者通常無法觀察到所有測試商品的壽命，因此設限資料是經常發生的。由於有些商品壽命相當長而且有危險性（如意外破損），必須從壽命測試實驗移除，於是逐步第一失敗設限抽樣方案在本文中被提出，逐步第一失敗設限抽樣方案是結合逐步型II右設限抽樣方案與第一失敗設限抽樣方案的新壽命測試方法。本研究提出一個分析非常態而且設限的商品壽命資料之新方法，本文研究目的是在商品的壽命模式是韋伯分配、逐步第一失敗設限抽樣方案的假設之下，去發展一個新的假設檢定程序。而此新的假設檢定程序是商業智慧（BI）中的一個品質績效評估系統，稱之為逐步第一失敗設限品質績效評估系統，並且利用電腦程式語言C#去開發此品質績效評估系統。此品質績效評估系統不僅能提升顧客服務，也能在快速變化的市場中增強企業的決策能力。

Process capability analysis has been widely applied in the field of quality control to monitor the performance of industrial processes. In practice, lifetime performance index CL is a popular means to assess quality performance, where L is the lower specification limit. Most capability indices assume that the quality characteristic has a normal distribution. Nevertheless, many products possess a non-normal lifetime model, for example, the Weibull distribution has used extensively in reliability engineering as a model of time to failure for electrical and mechanical components and systems. Moreover, in life testing experiments, the experimenter may not always be in a position to observe the life times of all the products (or items) put on test. This may be because of time limitation and/or other restrictions (such as money, material resources, mechanical or experimental difficulties, etc.) on data collection. Therefore, censored samples may arise in practice. Nevertheless the lifetime of some products is quite long and at risk (for example break accidentally) must be removed from the experiment. So the progressive first-failure-censored sampling plan is proposed in the plan, it combines the concepts of first-failure censoring and progressive censoring to develop a new life test plan. A new approach of analyzing non-normal and censored lifetime data is proposed in this study. The aim of this study is to develop a new hypothesis testing procedure under the Weibull distribution with the progressive firstfailure-censored sampling plan. The new hypothesis testing procedure is a quality performance assessment system in Business Intelligence (BI). The quality performance assessment system is called to progressive first-failure-censored quality performance assessment system. Moreover, program language C# is utilized to develop the quality performance assessment system. The quality performance assessment system not only can promote customer’s service, but also can enhance enterprise’s decision capability in the rapid change of market.