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研究生:黃意珍
研究生(外文):Huang Yi-Chen
論文名稱:增加抽樣頻率與應用工業製程管制對製程監控影響之研究
指導教授:邵曰仁邵曰仁引用關係
學位類別:碩士
校院名稱:輔仁大學
系所名稱:應用統計學研究所
學門:數學及統計學門
學類:統計學類
論文種類:學術論文
論文出版年:2007
畢業學年度:95
語文別:中文
論文頁數:81
中文關鍵詞:抽樣頻率自我相關性AR(1)製程統計製程管制工程製程管制
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一般而言,增加抽樣頻率可得到更多資料訊息,使統計製程管制(SPC)管制圖能精確監控製程,然而,增加抽樣頻率卻容易造成資料之間具有相關性,導致假警訊的增加,使得品管人員對警訊有錯誤的解讀及降低SPC管制圖的監控能力,而傳統SPC管制圖通常假設資料服從獨立性假設,但增加抽樣頻率所產生之自我相關性卻違反了其獨立性假設,因此,為了解增加抽樣頻率對製程監控之影響,本文以Fortran程式模擬貯存槽製程,並應用指數加權移動平均(EWMA)管制圖與X管制圖監控之;此外本文亦模擬具自我相關性之AR(1)製程,並結合工程製程管制(EPC)方法以去除自我相關性之影響,使SPC管制圖能適時發揮其監控效能。
目錄

摘要 I
目錄 IV
圖目錄 VI
表目錄 VII

第一章 緒論 1
第一節 研究背景 1
第二節 研究動機與目的 2
第三節 研究流程與論文架構 3
第二章 文獻探討 7
第三章 研究方法 12
第一節 統計製程管制圖 12
第二節 抽樣頻率與自我相關性之關係 18
第三節 AR(1)製程與EPC理論推導 21
第四章 模擬範例 25
第一節 抽樣頻率增加之影響 25
第二節 AR(1)製程模擬 30
一、SPC管制圖監控AR(1)製程 31
二、SPC管制圖整合EPC方法監控AR(1)製程 36
第五章 結論與未來研究方向 42
第一節 結論 42
第二節 未來研究方向 43
參考文獻 45
附錄A 模擬不同抽樣頻率之FORTRAN程式碼與註解 49
附錄B 模擬AR(1)製程之FORTRAN程式碼與註解 62
【中文參考文獻】
1.李怡穎,「應用Cuscore管制圖與EPC以監督自我相關製程之研究」,天主教輔仁大學應用統計研究所碩士論文,1999年。
2.駱景堯、余豐榮、楊宗儒,「EPC與SPC整合架構下之管制圖評估及選用」,工業工程學刊,第18期,2001年,頁63-72。
3.鄭春生,「品質管理(修訂版)」,台北:育友圖書有限公司,2003年。
4.盧淑蘭,「運用EPC整合SPC進行自我相關性資料處理之探討」,國立雲林科技大學工業工程與管理碩士班論文,2003年。

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