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研究生:周柏宏
研究生(外文):Po-Hung Chou
論文名稱:多目標超模式法解參數設計問題之研究─以半導體封裝印字製程為例
論文名稱(外文):A Multi-Objective Metamodeling Approach inSolving Parameters Design Problems-A Case Study on Integrated-Circuit Ink Marking Facilities
指導教授:楊大和楊大和引用關係
指導教授(外文):Taho Yang
學位類別:碩士
校院名稱:國立成功大學
系所名稱:製造工程研究所碩博士班
學門:工程學門
學類:機械工程學類
論文種類:學術論文
論文出版年:2003
畢業學年度:91
語文別:中文
論文頁數:108
中文關鍵詞:分散式搜尋法雙反應曲面法多目標最佳化系統模擬田口方法理想解類似度順序偏好法主成份分析法
外文關鍵詞:SimulationTaguchi methodDual Response Surface MethodTechnique for Preference by Similarity to IdealScatter SearchMultiple-Objective
相關次數:
  • 被引用被引用:21
  • 點閱點閱:395
  • 評分評分:
  • 下載下載:77
  • 收藏至我的研究室書目清單書目收藏:0
半導體封裝廠是一典型的代工廠,產品大部分都以少量多樣的型態進行生產。然而,在製造過程中針對不同類型的產品時常需要進行製程參數的調整,若是參數水準設置不當,造成改機次數過多,會導致產能浪費。再者,隨著產品設計與生產流程的日益複雜,產品品質的良莠已非單一品質特性最佳化能滿足,往往需要同時同時考量多重品質特性最佳化。有鑑於此,本研究以模擬為工具,並結合田口方法、理想解類似度順序偏好法、主成份分析法、雙反應曲面法、分散式搜尋法等方法為主體來尋求多目標模擬模式最佳解。最後希望將得到的結果,透過模擬方法來評估製程參數水準調整的可行性,以作為現場管理者的決策參考依據,避免決策的錯誤及產能的浪費,真正解決實務上的問題為本研究之貢獻。
Semiconductor packing plant is a typical foundry factory and its products carry the feature of small in quantity and rich in variety. Since different products require various parameters, it leads to frequent changes in setup. Further, due to the increasing complexity of the product design, more than one quality characteristic must be considered simultaneously to improve the product quality. Therefore, this research uses simulation methods as the tool. Taguchi method, technique for order preference by similarity to ideal solution method, principal components analysis, dual response surface method and scatter search are used to optimize the multi-objective simulation models. At last, simulation methods are used to diagnose the possibilities in the parameters control. It can serve as a decision-marking reference for the on-the-scene regulators and avoid mistakes in decision-making and waste capacity. It aims to practically solve the problems in reality as the contribution of this research.
中文摘要 i
英文摘要 ii
誌 謝 iii
目 錄 iv
表 目 錄 vii
圖 目 錄 ix
第一章 緒論1
1.1研究背景1
1.2研究動機3
1.3研究目的3
1.4研究流程4
1.5論文架構5
第二章 文獻探討6
2.1田口方法結合理想解類似度順序偏好法6
2.1.1田口方法6
2.1.2順序偏好法8
2.1.3田口方法結合順序偏好法之實驗步驟11
2.2主成分分析法16
2.2.1主成份分析法16
2.2.2主成份分析法之實驗步驟22
2.2.3主成份分析法結合順序偏好法之實驗步驟24
2.3雙反應曲面法24
2.3.1雙反應曲面法25
2.3.2雙反應曲面法之實驗步驟32
2.4分散式搜尋法結合倒傳遞類神經網路34
2.4.1分散式搜尋法35
2.4.2類神經網路39
2.4.3分散式搜尋法結合類神經網路之實驗步驟44
第三章 田口方法結合理想解類似度順序偏好法48
3.1封裝製程簡介48
3.2問題說明與假設50
3.3實驗規劃52
3.4實驗分析與結果55
3.5比較與討論59
第四章 主成份分析法65
4.1主成份分析法之實驗分析與結果65
4.2主成份分析法結合順序偏好法之實驗分析與結果69
第五章 雙反應曲面法75
5.1實驗規劃75
5.2實驗分析與結果75
第六章 分散式搜尋法結合倒傳遞類神經網路86
6.1實驗規劃86
6.2實驗分析與結果86
第七章 結論與建議91
7.1確認實驗與比較91
7.2結論98
7.3未來研究98
參考文獻100
附 錄103
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