產品生產週期時間(Cycle Time, CT)對於製造業來說是個相當重要的生產規劃因子，有效的Cycle Time估算有助於產品交期的預估以及產能規劃。然而由於晶圓製造廠製程的高度複雜性，造成管理人員對於在估算Cycle Time上，往往難以獲得較佳的近似值，而無法做出更有效的管理。 然而對於Cycle Time的改善方式，過去許多學者大多針對瓶頸機台的生產排程來進行改善，以達到降低Cycle Time或增加產出的目的。而2006年Delp et al.學者提出另一種選擇改善機台的衡量新指標，稱為完整的X-Factor貢獻度指標(Complete X-Factor Contribution, CXC)，其研究證明對於系統內所謂的高CXC指標之加工站進行改善，對於Cycle Time的降低也有其不錯的效果。 目前的晶圓製造廠中，批量加工製程(Batch Process)是一道必要且常見的加工方式，可惜的是Delp所提出的CXC的計算式中，對於此製程現象卻未加以考量。然而晶圓製造廠中，批量製程的加工時間通常都較為冗長，如將CXC的觀念運用在這樣的環境下，勢必造成批量加工站極容易一直擁有高CXC之現象。而在此情況下批量機台是否還是優先進行改善的機台是個值得研究的議題。有鑒於此，本研究首先利用GI/G/m之等候模式構建批量與解批機台之Cycle Time估算模式，而後結合X-Factor觀念、CXC的概念提出一套修正後之機台選擇指標，吾人稱之修正後之X-Factor貢獻度指標(Adjusted X-Factor Contribution, AXFC)。 而由本研究的模擬結果發現，運用AXFC於Batch Process的環境下，進行機台改善的選擇研究，先前Delp et al.所提出之觀點在某些環境下仍然是成立的，其中也發現其實在運用AXFC的觀念時，仍有些部份是值得調整與探討的。所以期望經由調整後之AXFC指標，能夠提供管理者在運用上更能準確的判斷出較適合的改善機台站，來加以改善提升廠內績效。

摘 要 i 誌 謝 iii 目 錄 iv 圖目錄 vi 表目錄 vii 第一章 緒論 1 1.1研究背景動機 1 1.3研究範圍與限制 3 1.4研究架構 3 第二章 文獻回顧與探討 6 2.1產品生產週期時間 6 2.2 X-FACTOR概念介紹 9 2.3批量生產製程特性 13 2.4結論 17 第三章 產品生產週期時間貢獻度之計算 18 3.1問題範圍與限制 18 3.2等候理論的運用 19 3.3建構產品生產週期時間估計式 20 3.3.1批量加工之環境修正 20 3.3.2解批加工之環境修正 23 3.3.3.迴流加工製程之修正 29 3.4修正後之X-FACTOR貢獻度模式 29 3.5總結 30 第四章 模式驗證與機台改善後績效變化之探討 32 4.1產品生產週期時間估算模式驗證 32 4.1.1範例環境設定 32 4.1.2範例估算 34 4.1.3模擬驗證與分析 42 4.2AXFC模式之運用與探討 45 4.2.1實驗環境介紹 46 4.2.2實驗設計 48 4.2.3實驗結果與分析 49 4.3總結 59 第五章 結論與建議 62 5.1結論 62 5.2未來研究建議 63 參考文獻 64 附錄 一 67 附錄 二 68

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