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研究生: 王權明
論文名稱: 使用單一觀測值監控製程平均數和標準變異
Monitoring the process mean and standard deviation using individual observations
指導教授: 黃榮臣
口試委員:
學位類別: 碩士
Master
系所名稱: 理學院 - 統計學研究所
Institute of Statistics
論文出版年: 2009
畢業學年度: 97
語文別: 中文
論文頁數: 85
中文關鍵詞: 指數加權移動平均管制圖單一觀測值製程變異數與標準變異
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  • 摘要
    為了迎合消費者需求以提升產品競爭力,許多科技產品越來越精密,其製造所需的時間以及成本也越來越高。因此,基於成本及其他因素的考量,監控製程的抽樣有時只能得到一個觀測值,此時產生了自由度不足以直接估計製程變異數的問題。本文主要是探討在資料服從常態分配的假設下,如何利用單一觀測值來對製程進行監控。Reynolds和Stoumbos (2001)比較了各種單一觀測值管制圖的組合表現,得到了最好監控效果組合的結論。我們將Shu與Jiang (2008)提出的監控製程變異數的方法,推廣到合理子群僅有一個觀測值的情況,並且另外提出幾個方法與上述二個方法進行比較。比較後發現,我們所提出的一種管制圖在監控製程變異數變大時有較好的表現,而另一種管制圖在監控製程變異數變小時有較好的表現,在同時監控製程平均數以及變異數偏移上,我們所提出的合併管制圖對整體的製程監控有相當不錯的表現。另外,我們也探討了所提出的合併管制圖對於估計改變點的準確度,並且利用估計得到的改變點將資料分群,進行可歸屬參數偏移的診斷。


    題目:使用單一觀測值監控製程平均數和標準變異 目錄 第一章 緒論 1 1.1 前言 1 1.2 文獻回顧 2 1.3 研究的動機與目的 3 第二章 使用單一觀測值監控製程的方法 6 2.1 資料模型的假設 6 2.2 Reynolds和Stoumbos管制圖 6 2.3 Shu和Jiang管制圖 8 2.4 Huwang,Huang和Wang管制圖 12 2.5 Huwang和Wang管制圖 15 2.6 PIT管制圖 16 第三章 製程監控效率、改變點的估計與可歸屬原因的診斷 19 3.1 製程監控效率的比較 19 3.2 改變點的估計 25 3.3 可歸屬原因的診斷 28 3.4 例子之應用 30 第四章 結論與未來研究 32 參考文獻 34

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    [17] Reynolds, M. R. and Stoumbos, Z. G. (2001). Monitoring the Process Mean and Variance Using Individual Observations and Variable Sampling Intervals. Journal of Quality Technology 33, pp. 181-205.

    [18] Shu, L. and Jiang, W. (2008). A New EWMA Chart for Monitoring Process Dispersion. Journal of Quality Technology 40, pp. 319-331.

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