近年來由於人們對物質的需求大增，消費者對商品品質的要求日益提升，統計品質管制已成為製造業中最佳品質監控的方法。為了達到品質要求，並降低不良品的產出，製程能力分析廣泛的被運用在生產過程中。但由於各種資訊種類繁多，數量龐大，在過去由人工處理時，便顯得相當困難。因此隨著科技發達，將統計製程管制結合電腦運作，便可以更有效率的達到管制的結果。
近代文獻中，學者們不斷地研究並修正製程能力指標，使得單一製程能力指標能夠更完整地解釋製程能力的優劣。除了對服從常態分配的製程的研究之外，對於非常態分配的製程之研究，更是許多專家學者致力研究的課題。
本研究主要為探討近代製程能力指標的演進與原理。針對本論文中所提到的製程能力指標，撰寫出一套易學易用的中文化電腦分析系統，並簡單提供製程能力分析的標準，希望能透過此系統將理論與實務相結合，並可作為廠商與其他企業訂定合約的依據。

In recent years, because the demands for the material of people are heightened, and consumer's requisition for quality of the goods improves day by day, the statistic process control already become the best method for quality control in the manufacturing industry. In order to reach the requirement of quality and reduce bad output of product, the process capability analysis is used in process of production extensively. But in the past, it was difficult to deal with various kinds and a large number of information by manpower. For this reason，it will be efficient when control those process by combining statistic process control with computer.
Form now on, there were many articles to discuss and improve the capability indices. It makes those capability indices can explain the capability of process more completely. Except to discuss those processes which follow the normal distribution assumption, there were many authors who discuss those processes which departures form assumptions.
This article treats the developments and the axiom of process capability indices. Finally, we develop statistical computer software which is based on that axiom, and hope to combine the theory with practice through this system.

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