不精確設限品質資料評估系統

Imprecise Censored Quality Data Assessment System

製程能力分析已被廣泛應用於品質控制以監控企業製程績效。在實務上，製程能力指標是用以評估望目型品質績效的受歡迎方法。很多商品的品質特性是常態分配。在商品品質測試實驗中，資料收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），使得實驗者通常無法觀察到所有測試商品的品質資料，因此設限資料是經常發生的。並且由於測量的刻度粗糙與錯誤，使得商品品質的測量經常是不精確的，因此不精確資料也是經常發生的。本研究提出一分析常態、設限且不精確的商品品質資料之新方法，並且這新方法被用以發展一品質績效評估系統。此品質績效評估系統是即時商業智慧之品質績效決策分析工具，能處理常態、設限、不精確與大樣本的品質資料。

Process capability analysis has been widely applied in the field of quality control to monitor the performance of industrial processes. In practice, Process capability index is a popular means to assess target-the-best type quality performance. The quality characteristic of many products has a normal distribution. In product quality testing experiments, the experimenter may not always be in a position to observe the quality data 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. Moreover, observations with coarse scales; measurement error that is not quantified accurately. Therefore, imprecise data also may arise in practice. A new approach of analyzing normal, censored and imprecise data is proposed in this study. Moreover, the new approach is utilized to develop a quality performance assessment system. The quality performance assessment system is a quality performance assessment decision tool in Real-Time Business Intelligence, it can handle normal, censored, imprecise and large sample quality data.