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題名:應用多次抽樣平均數管制圖於破壞性試驗製程之效益評估
書刊名:科技管理學刊
作者:李佩熹童超塵
作者(外文):Lee, Pei-hsiTorng, Chau-chen
出版日期:2008
卷期:13:2
頁次:頁95-112
主題關鍵詞:多次抽樣平均數管制圖統計性設計IC封裝焊線接合製程破壞性檢驗Multiple sampling [90b4] chartsStatistical designIC packagingWirebonding process
原始連結:連回原系統網址new window
相關次數:
  • 被引用次數被引用次數:期刊(1) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:1
  • 共同引用共同引用:0
  • 點閱點閱:40
許多的半導體生產製程,會採用破壞性檢驗的方法收集製程監控的數據,因而花費高額檢驗成本,多次抽樣平均數管制圖(Multiple sampling (平均值)X charts; MS)能有效的降低抽樣數量,改善破壞試驗的檢驗成本,並維持原有修華特平均數管制圖的製程監控成效特性。本研究從統計的觀點設計MS,並評估MS與修華特管制圖的製程監控表現,最後實際應用本研究提出的MS來監控IC封裝的焊線接合製程,以驗證其改善破壞性檢驗樣本數的效益。
In semiconductor processes, many data of process were obtained by the destructive testing methods which will incur high inspection cost. Multiple sampling (average)X charts (MS) can effectively reduce sample size and simultaneously maintain the same performance as Shewhart control charts. In this study, MS were designed based on a statistical viewpoint, and evaluated their monitoring performance in comparison with Shewhart control charts. A real case of wirebonding process of IC packaging was used to demonstrate the effectiveness of proposed MS in reducing the sample size of destructive testing.
期刊論文
1.Bowerman, R.、Hall, B.、Calamai, P.(1995)。A Multi-Objective Optimization Approach to Urban School Bus Routing: Formulation and Solution Method。Transportation Research Part A: Policy and Practice,29(2),107-123。  new window
2.He, D.、Grigoryan, A.、Sigh, M.(2002)。Design of Double and Triple-sampling X Control Charts Using Genetic Algorithms。International Journal of Production Research,40(6),1387-1404。  new window
3.Borror, C. M.、Montgomery, D. C.、Runger, G. C.(1999)。Robustness of the EWMA control chart to non-normality。Journal of Quality Technology,31(3),309-316。  new window
4.Daudin, J. J.(1992)。Double sampling X charts。Journal of Quality Technology,24(2),78-87。  new window
5.Zadeh, L. A.(1963)。Optimality and Non-scalar Valued Performance Criteria。IEEE Transactions on Automatic Control,8(1),59-60。  new window
6.Hsu, L.F.(2004)。“Note on Design of double- and triple-sampling X control charts using genetic algorithms”。International Journal of Production Research,42(5),1043-1047。  new window
7.Irianto, D.,、Shinozaki, N.(1998)。“An optimal double sampling X control chart”。International Journal of Industrial Engineering,5,226-234。  new window
8.Lasdon, L.S., Fox, R.L.,、Ratner, M.W.(1974)。“Nonlinear optimization using the generalized reduced gradient method”。RAIRO,3,73-104。  new window
9.Loukil, T., Teghem, J.,、Tuyttens, D.(2005)。“Solving multi-objective production scheduling problems using metaheuristics”。European Journal of Operational Research,161(1),42-61。  new window
10.Murata, T., Ishibuchi, H.,、Tanaka, H.(1996)。“Multi-objective genetic algorithm and its applications to flowshop scheduling”。Computers & Industrial Engineering,30(4),957-968。  new window
11.Prabhu, S.S., Runger, G.C.,、Keats, J.B.(1993)。“X chart with adaptive sample size”。International Journal of Production Research,31,2895-2909。  new window
12.Quesenberry, C.P.(1993)。“The effect of sample size on estimated limits for X and x control chart”。Journal of Quality Technology,25,237-247。  new window
圖書
1.Burden, R. L.、Faires, J. D.(2005)。Numerical analysis。CA:Thomson Brooks/Cole。  new window
 
 
 
 
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