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模糊田口法於多重品質特性製程上之研究-以液晶顯示器製程為例 = Appl...
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國立高雄大學亞太工商管理學系碩士班
模糊田口法於多重品質特性製程上之研究-以液晶顯示器製程為例 = Application of the Fuzzy-Based Taguchi Method on Processes with Multiple Quality Characteristics- Take the Process of Liquid Crystal Display as Example
紀錄類型:
書目-語言資料,印刷品 : 單行本
並列題名:
Application of the Fuzzy-Based Taguchi Method on Processes with Multiple Quality Characteristics- Take the Process of Liquid Crystal Display as Example
作者:
江季哲,
其他團體作者:
國立高雄大學
出版地:
[高雄市]
出版者:
撰者;
出版年:
2008[民97]
面頁冊數:
98面圖,表 : 30公分;
標題:
多重品質特性
標題:
Multiple Quality Characteristics
電子資源:
http://handle.ncl.edu.tw/11296/ndltd/38181546827087296236
附註:
指導教授:盧昆宏
附註:
參考書目:面90-98
摘要註:
傳統的田口方法主要是針對單一品質特性的最佳化,實際上,產品或製程常常具有兩個或兩個以上的品質特性。而一般處理多重品質特性問題,只能依靠工程人員的經驗來選擇因子水準,而由於工程人員的認定標準不一,容易產生不確定性與模糊性,且各品質特性的相關性愈強或所考量的品質特性愈多時,工程師要決定最佳因子水準組合就愈困難,同時帶給工程人員解決多重品質特性上衝突的難度。因此,產品多重品質特性最佳化的決定對提昇企業產品品質是相當重要的議題。針對這項議題,本研究先利用田口方法中處理單品質特性的方法,分別計算出各品質特性的S/N比(signal to noise ratio,信號雜訊比),再運用灰關聯分析將S/N比轉為灰關聯係數,最後結合模糊推論系統導出代表多重品質特性之衡量指標(MPCI),利用其數值愈高愈好的特性,找出最佳參數組合,再由變異數分析找出同時影響兩種品質特性的顯著因子,以進行包含兩種以上品質的最佳參數組合之模擬驗證,俾驗證最佳參數組合之正確性。最後,利用案例-液晶顯示器製程來闡述所提最佳化程序與模式之數值分析,驗證本研究之有效性與實用性,幫助公司節省實驗成本、縮短新產品由實驗階段導入生產階段時程。研究結果顯示,本研究不僅可以應用於不同品質特性組合,且都有提升原先之產品品質。 The traditional Taguchi method mainly aims at the optimizing of the single quality characteristic. In fact, the product or the process frequently has two or two above quality characteristics. And generally, deals with the problem of multiple quality characteristic, only can depend on the engineer's experience to choose the factor level. Because the engineer’s recognizes are different, it’s easy to have the uncertainty and the fuzziness, when each qualities characteristic relevance is stronger or which considers the quality characteristic are more, engineer must decide the best factor level combination is more difficult, simultaneously takes to the engineer to solve the difficulty which in the multiple quality characteristic conflicts. Therefore, the product multiple quality characteristic optimization decision to promotes the enterprise product quality is the quite important subject.In view of this subject, the research first uses Taguchi method by only considering the single quality characteristic ,then separately calculating the S/N ration(signal to noise ratio) according to the quality characteristic, then transferring the S/N ration by using the Grey Relation Analysis to the Grey Relational Coefficient, finally unifies the Fuzzy Inference System to find the Multiple Performance Characteristics Index(MPCI) , uses the characteristic which the value is the higher the better ,to find the best parameter combination, then to find the main factor which affects two quality characteristic simultaneously by Analysis of Variance, demonstrating the best parameter combination of two above quality characteristics. And demonstrating the correctness of the best parameter combination. Finally, using the case – LCD process elaborated proposes which is the optimization procedure and the pattern of numerical analysis. Demonstrating the effectiveness and the usability of the research, helps the company to save the experimental cost and to reduce
模糊田口法於多重品質特性製程上之研究-以液晶顯示器製程為例 = Application of the Fuzzy-Based Taguchi Method on Processes with Multiple Quality Characteristics- Take the Process of Liquid Crystal Display as Example
江, 季哲
模糊田口法於多重品質特性製程上之研究-以液晶顯示器製程為例
= Application of the Fuzzy-Based Taguchi Method on Processes with Multiple Quality Characteristics- Take the Process of Liquid Crystal Display as Example / 江季哲撰 - [高雄市] : 撰者, 2008[民97]. - 98面 ; 圖,表 ; 30公分.
指導教授:盧昆宏參考書目:面90-98.
多重品質特性Multiple Quality Characteristics
模糊田口法於多重品質特性製程上之研究-以液晶顯示器製程為例 = Application of the Fuzzy-Based Taguchi Method on Processes with Multiple Quality Characteristics- Take the Process of Liquid Crystal Display as Example
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傳統的田口方法主要是針對單一品質特性的最佳化,實際上,產品或製程常常具有兩個或兩個以上的品質特性。而一般處理多重品質特性問題,只能依靠工程人員的經驗來選擇因子水準,而由於工程人員的認定標準不一,容易產生不確定性與模糊性,且各品質特性的相關性愈強或所考量的品質特性愈多時,工程師要決定最佳因子水準組合就愈困難,同時帶給工程人員解決多重品質特性上衝突的難度。因此,產品多重品質特性最佳化的決定對提昇企業產品品質是相當重要的議題。針對這項議題,本研究先利用田口方法中處理單品質特性的方法,分別計算出各品質特性的S/N比(signal to noise ratio,信號雜訊比),再運用灰關聯分析將S/N比轉為灰關聯係數,最後結合模糊推論系統導出代表多重品質特性之衡量指標(MPCI),利用其數值愈高愈好的特性,找出最佳參數組合,再由變異數分析找出同時影響兩種品質特性的顯著因子,以進行包含兩種以上品質的最佳參數組合之模擬驗證,俾驗證最佳參數組合之正確性。最後,利用案例-液晶顯示器製程來闡述所提最佳化程序與模式之數值分析,驗證本研究之有效性與實用性,幫助公司節省實驗成本、縮短新產品由實驗階段導入生產階段時程。研究結果顯示,本研究不僅可以應用於不同品質特性組合,且都有提升原先之產品品質。 The traditional Taguchi method mainly aims at the optimizing of the single quality characteristic. In fact, the product or the process frequently has two or two above quality characteristics. And generally, deals with the problem of multiple quality characteristic, only can depend on the engineer's experience to choose the factor level. Because the engineer’s recognizes are different, it’s easy to have the uncertainty and the fuzziness, when each qualities characteristic relevance is stronger or which considers the quality characteristic are more, engineer must decide the best factor level combination is more difficult, simultaneously takes to the engineer to solve the difficulty which in the multiple quality characteristic conflicts. Therefore, the product multiple quality characteristic optimization decision to promotes the enterprise product quality is the quite important subject.In view of this subject, the research first uses Taguchi method by only considering the single quality characteristic ,then separately calculating the S/N ration(signal to noise ratio) according to the quality characteristic, then transferring the S/N ration by using the Grey Relation Analysis to the Grey Relational Coefficient, finally unifies the Fuzzy Inference System to find the Multiple Performance Characteristics Index(MPCI) , uses the characteristic which the value is the higher the better ,to find the best parameter combination, then to find the main factor which affects two quality characteristic simultaneously by Analysis of Variance, demonstrating the best parameter combination of two above quality characteristics. And demonstrating the correctness of the best parameter combination. Finally, using the case – LCD process elaborated proposes which is the optimization procedure and the pattern of numerical analysis. Demonstrating the effectiveness and the usability of the research, helps the company to save the experimental cost and to reduce
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http://handle.ncl.edu.tw/11296/ndltd/38181546827087296236
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