標題: 類別製造過程的多變量指數加權移動平均監控計劃
Multivariate Exponentially Weighted Moving Average Monitoring Scheme for a Categorical Manufacturing Process
作者: 洪鏡婷
Hong Jing-Ting
陳志榮
Chen Chih-Rung
統計學研究所
關鍵字: Dirichlet-多項式模型;多變量指數加權移動平均;Dirichlet-compound multinomial;MEWMA
公開日期: 2010
摘要: 本文是發展一個方法去監控不同類別的資料。首先介紹 Dirichlet-多項式模型,根據該模型提出了類別製造過程的多變量 指數加權移動平均管制圖並研究其相關的特性。最後用模擬的資 料來說明這個方法的實用性與適用性。
This paper is to develop a method to monitor the fractions of the tested items falling into different categories of pass/fail modes. The Dirichlet-compound multinomial model is first introduced and then a multivariate exponentially weighted moving average control chart is proposed for a categorical manufacturing process under the proposed model. Some relevant properties of the proposed control chart are also investigated. Finally, a simulation study is presented to show the usefulness and applicability of the proposed methodology.
URI: http://140.113.39.130/cdrfb3/record/nctu/#GT079726505
http://hdl.handle.net/11536/45234
Appears in Collections:Thesis


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