根據隨機過程理論建構複合式最適檢驗計畫之研究

An Optimal Composite Inspection Plan under Stochastic Process Theorem

謝雅惠

隨機過程理論 ； 複合型檢驗 ； 品質成本 ； 利潤最大化 ； Stochastic processes theory ； Composite method inspection ； Quality cost ； Profit maximization

屏東科技大學工業管理系所學位論文

2016年

碩士

黃允成

繁體中文

傳統的檢驗方式為全數檢驗或部分抽樣檢驗，使得品質達到一定之水準，而其檢驗過程未考量成本與實務上之彈性，因此本研究利用隨機過程理論，在初期採取逐次全數檢驗，後期再改為部分抽樣檢驗。結合全數檢驗與部分抽樣檢驗計畫之優點，建構一複合型檢驗計畫模型並由製造商觀點探討產品在檢驗過程中，其最適複合型檢驗計畫，使製造商總期望利潤最大化。

To improve the quality of product, traditional inspection method is 100% inspection or sampling inspection. But the process of inspection has to consider the cost and elastic. This study used stochastic processes theory as a base to propose a new sampling scheme model. The first stage of the inspection scheme is 100% inspection and the second stage is sampling inspection. This new composite inspection method can combine the advantage of 100% inspection and sampling inspection. Experimental result showed that this sampling scheme model can propose an optimal sampling scheme and maximization the total profit.

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