研究生: |
江登鑫 Chiang, Tang-Hsin |
---|---|
論文名稱: |
應用六標準差設計架構開發新設備-以測試機散熱模組為例 Apply Six Sigma Framework to Develop New Equipment – A Case Study of Cooling Module Design Test Machine |
指導教授: |
邱銘傳
Chiu, Ming-Chuan |
口試委員: |
李雨青
Lee, Yu-Ching 徐昕煒 Hsu, Hsin-Wei |
學位類別: |
碩士 Master |
系所名稱: |
工學院 - 工業工程與工程管理學系碩士在職專班 Industrial Engineering and Engineering Management |
論文出版年: | 2020 |
畢業學年度: | 108 |
語文別: | 中文 |
論文頁數: | 67 |
中文關鍵詞: | 測試機 、六標準差設計 、田口實驗 、架構開發 |
外文關鍵詞: | Tester, Design For Six Sigma, Taguchi experiment, Equipment Design |
相關次數: | 點閱:2 下載:0 |
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測試機為半導體測試行業的測試通用設備,其占測試設備總市場空間份額約近70%,隨著中國大陸多家晶圓廠陸續投產及量產,國內封測廠將陸續投入新產線以實現產能的配套擴張,將帶動國內半導體測試設備行業高速增長,自主研發和併購將成為國內測試設備企業的必經之路。
隨著積體電路奈米製程的發展及電子科技的飛速進步,高效能儀器與裝置不斷推陳出新,內部元件單位體積所發出熱量越來越多,將造成運作過程中產生不穩定的現象,甚至縮短設備壽命,因此,為了維持元件設備正常工作狀態,採用熱交換的散熱動作,以帶走多餘熱量是絕對必要的。
本研究利用六標準差設計驗證架構,並運用品質機能展開、魚骨圖、因果矩陣圖、創新思維手法、田口實驗及軟體模擬探討,進行產品開發,有效的縮短開發時間,以低成本改善了「測試機高溫飈升」的技術瓶頸與障礙的排除,達到架構最佳散熱之設計。
Tester is one of key equipment in semiconductor testing industry, which accounts for nearly 70% of the total market share of testing equipment. With the ramp up and mass production of several wafer factories in mainland China, the domestic sealing and testing factories successively invest in new production lines to support expansion of production capacity, which will drive the rapid growth of domestic semi conductor testing equipment industry.
With the development of integrated circuit nano fabrication process and the rapid progress of electronic technology, high-efficiency instruments and devices are constantly innovating. More and more heat is emitted by the unit volume of internal components, which will cause instability in the operation process and even shorten the service life of the equipment. Therefore, in order to maintain the normal working state of the components and equipment, heat exchange heat dissipation action is adopted to take away more residual heat is absolutely necessary.
In this study, six sigma design is applied to verify the architecture, and quality function deployment, fishbone diagram, cause and effect matrix diagram, innovative thinking method, Taguchi experiment and software simulation are utilized to conduct product development, which can effectively shorten the development time, improve the technical bottleneck and obstacle removal of "high temperature rise of testing machine" with low cost, As a result, it achieves the best heat dissipation design of the equipment.
英文文獻
Amanor-Boadu, J. M., Guiseppi-Elie, A. & Sánchez-Sinencio, E. (2018), “Search for optimal pulse charging parameters for Li-Ion polymer batteries using Taguchi Orthogonal Arrays”, IEEE Transactions on Industrial Electronics, Vol.65, No.11, pp.8982-8992.
Chen, Y. T., Tsai, S. H., & Shei, H.J.(2016), “ANOVA for composite fan of prediction and analysis.”, Journal of Chinese Society of Mechanical Engineers, Vol.65, pp.1-17.
Chiang, H. L., Yang, C.B. & Hsu, C.Y.(2016), “Combining Taguchi signal-to-noise ratio and grey relational analysis into a multi-objective optimal model for milling Inconel 718 superalloy”,Journal of Chinese Society of Mechanical Engineers,Vol.37, No.6, pp.625-633.
Chou, F. I., Chiang, Y. L. Chen, I. T. & Tsai, J. T. (2015), “Genetic algorithm for optimal resolution planning in DOE-based Taguchi Method. ”,Journal of Chinese Society of Mechanical Engineers,Vol.36, No.6, pp.481-490.
Chowdhury, M., & Quaddus, M. A. (2016), “A multi-phased QFD based optimization approach to sustainable service design”, International Journal of Production Economics, Vol.171, Part 2,pp.165-178.
Duh, F. C. (2016), “An innovative design for the interior heat dissipation of parked cars”, Journal of Advanced Engineering, Vol.11, No.3, pp. 157-163.
Francia D., Caligiana, G., Liverani, A. Frizziero, L. & Donnicii, G. (2018), “PrinterCAD: a QFD and TRIZ integrated design solution for large size open moulding manufacturing”, International Journal on Interactive Design and Manufacturing (IJIDeM), Vol.12, No.1, pp.81-94.
Frizziero, L., Francia, D., Liverani, A. Donnici, G. & Caligiana, G. (2018), “Sustainable design of open molds with QFD and TRIZ combination”, Journal of Industrial and Production Engineering, Vol.35, No.1, pp.21-31.
Jensen, W. A. (2016), “Confirmation runs in design of experiments.”, Journal of Quality Technology,Vol.48, No2, pp.162-177.
Jhang, J. P. & Wu, P. Y. (2017), “Application of artificial neural network and topsis for the optimal thrust of SMT dispensing process parameters. ” Journal of Chinese Society of Mechanical Engineers, Vol.24, No.5, pp.324-334.
Kacker, R. N., Lagergren, E.S. & Filliben, J. J. (1991), “Taguchi’s orthogonal arrays are classical designs of experiments”, Journal of Research of the National Institute of Standards and Technology, Vol.96, No. 5, pp.577-591.
Khurana, S. & Banerjee, S. (2018), “An optimization process by Taguchi method for customer satisfaction under banking sector”, International Journal of Computer & Mathematical Sciences, Vol 7, No.3 pp.197-213.
Li, M. H., Re, F. I., Kuo, H.W. & Yeh, C.H.,(2016), “A study on replacing quartz sand withrecycled glass sand as a filler for epoxy mortar floor intermediate coating”, Journal of Quality Vol.23, No.4, pp248-263.
Li, M. H., Yeh, C. H., Re, F. I., & Kuo, H.W. (2015), “The application of FMEA and QFD to the Improvement of packaging processes for transistors”, Journal of Quality, Vol. 22, No. 5, pp.441-460.
Li, X., Fan, F., Zhang, B., Zhang, K., & Chen, B. (2018), “Biosurfactant enhanced soil bioremediation of petroleum hydrocarbons:Design of experiments (DOE) based system optimization and phospholipid fatty acid (PLFA) based microbial community analysis”, International Biodeterioration & Biodegradation, Vol.132, pp.216-225.
Lin, P. T. (2015), “Utilization of gaussian kernel reliability analysis in gradient-based transformed space for design optimization with arbitrarily distributed design uncertainties,” Proceedings of the 11th World Congress on Structural and Multidisciplinary Optimization, pp.1-6.
Liu, S. Y., Huang, Y. C., & Lai, C. C. (2016), “Application of Taguchi method to explore parameters of surfactant and the solution of disperse dye.”,Journal of Chinese Society of Mechanical Engineers,Vol.23, No.3, pp.153-159.
Ma, H.Y., & Su, C.T. (2010), “Applying hierarchical genetic algorithm based neural network and multiple objective evolutionary algorithm to optimize parameter design with dynamic characteristics”, Journal of Quality Vol.17, No.4,pp. 311-325.
Phadke, M. S. (1989), “Quality engineering using robust design(1st)”, Englewood, N.J, Prentice-Hall.
Pu, J., & Lu, Q. (2015), “Evaluation and improvement of food safety satisfaction based on QFD”, Advance Journal of Food Science and Technology,Vol.8, No.2, pp.135-139.
Riley, B.W., Kovach, J. V., & Carden, L. (2015), “Developing a policies and procedures manual for a consumer lending department: A design for six sigma case study” , Engineering Management Journal, Vol.3, No. 25, pp.13-25.
Roy, R. K. (2001), “Design of experiments using the Taguchi approach”, New York, Wiley. ISBN
Uysal, M., Akyuncu, V., Tanyildizi, H. Sumer, M. & Yildirim, H. (2018), “Optimization of durability properties of concrete containing fly ash using Taguchi’s approach and anova analysis”,Revista de la Construcción. Journal of Construction,Vol.17,No.3, pp.364-382.
Wang, T. J. (2018), “Optimum design for intake and exhaust system of a heavy-duty diesel engine by using DFSS methodology”, Journal of Mechanical Science and Technology, Vol 32, No.7, pp 3465-3472.
Wu, C.C., Yan, Y.H., Cao, Q.Q. Fei, F. & Yang, D.H. (2019), “EMG measurement position optimization based on ANOVA and BP neural network”, Journal of Nanjing University of Information Science & Technology; Nanjing ,Vol.11, Iss.2, pp.173-179.
Yang, C.K. & Lee, M.T. (2019), “An optimization analysis of cooling channel design in a CNC Lathe spindle system”, Journal of the Chinese Society of Mechanical Engineers, Vol.40, No.3, pp 231-238.
中文文獻
1. 張前偉、蔡宗穎(2008),六標準差整合品質機能展開之研究,International Symposium of Quality Management。
2. 蘇峰民(2012),應用六標準差設計方法改善液晶電視色偏問題,清華大學 碩士論文。
3. 陳麗妃、許俊欽、蘇朝墩(2014),六標準差綠帶,前程文化。
4. 桑慧敏(2017),一生受用的統計學大數據分析之鑰,高立書局。
5. 吳國榮(2018),運用萃智方法於半導體晶圓測試機台之研究,清華大學,碩士論文。
6. 梁興岳(2019),應用迴歸分析與田口方法提升測試良率:以K公司為例,清華大學,碩士論文。
7. 詹昭雄(2003),DFSS開發流程,手法之調整,品質月刊,第39卷,第1期,P44 -45。
8. 梅竹(2009),頭腦風暴法在團隊決策中的思維缺陷及完善對策,商場現代化,11期,P72-73。
9. 陳勇男( 2011),散熱鰭片設計與模具開發,虎尾科技大學,碩士論文。
10. 潘浙楠(2016),品質管理:理論與實務(3ED),華泰文化事業股份有限公司
11. 林敬森、陳麗妃、余信超(2010),應用六標準差設計於ODM電子產品之設計-以無線通訊產品公司爲例,品質學報,第17卷,第6期,P501- 526。
12. 沈漢彬(2015),整合Kano模式與品質機能展開於專案管理之實證研究,清華大學,碩士論文。
13. 楊錦洲(2018),QFD在台灣的應用,品質月刊,第54卷,第1期,P20 -27。
14. 江雅媚、陳文亮(2019),產品設計美感品質改善之研究,品質學報,第26卷,第3期,P141-155。
15. 蔡坤祥(2012),應用實驗計劃法提昇研發效率,石油季刊,第48卷,第1期,P77-84。
16. 何慧、高登蕊、馮長煥(2014),残差自回歸模型的研究—基于四川省人均GDP的實證分析,蘭州文理學院學報,2014年 04期,P30-32。
17. 蘇朝墩(2003),品質工程,中華民國品質學會。
18. 林聖泉(2011),工程分析與最佳化設計,台灣東華書局。
19. 鍾紹恩(2013),矩形渠道內多孔性材質柱狀鰭片之數值最佳化,成功大學,碩士論文。
20. 葉怡成(2001),實驗計劃法-製程與產品最佳化,五南圖書出版公司。
21. Douglas C. Montgomery(黎正中、陳源樹譯,2006),實驗設計與分析Design and Analysis of Experiments 6/e,高立圖書有限公司。
22. 莊宏瑋(2011),再論動能策略-利用殘差分析與價格風險調整,台灣大學,博士論文。
23. Greg Brue, Robert Launsby (丁惠民譯,2003),六標準差設計 立即上手Design for Six Sigma,美商麥格羅‧希爾(McGraw-Hill),國際出版公司。
24. 王玉坤等五人(2016),基於DFSS的卡鉗拖滯力矩優化設計,2016中國汽車工程學會年會論文集,P 903-907。
25. 陳丙奇(2006),以特性要因圖法選擇研析範圍,價值管理,第十期,P1-7。
26. 楊素芬(2006),品質管理,華泰文化。
27. 莊振權(2018),應用田口方法於提升面板雷射修復良率,中原大學,碩士論文。
28. 李輝煌(2011),田口方法: 品質設計的原理與實務(第4版),高立圖書有限公司。
29. 陳狄成、尤麒熊、丁榮助(2018),整合層級分析、後設分析與田口方法應用於刀具磨耗,技術學刊,第33卷,第3期,P155-164。
30. 俞凱允、蘇力萍(2019),整合六標準差及精實生產於ISO 9000品質管理系統,品質學報,第26卷,第2期,P92-113。
31. 黃鴻麟 (2018),電解沈積氧化鋯於AISI M3:2在磨耗腐蝕特性之研究,中興大學,碩士論文。
網路資源
1. 個案公司網頁,(http://www.kyec.com.tw/Default.aspx)
2. 半導體積體電路測試概論,白安鵬,(http://ictesting-tom.blogspot.com/2008/10/blog-post_02.html )
3. DOE實驗設計原理與應用,(https://kknews.cc/zh-tw/news/2brjvoy.html)
4. 信甫科技網頁(6SigmaET 電子散熱分析軟體),(http://www.sheaf.com.tw/)
5. 信灣電機企業股份有限公司,(http://www.sinwan.com.tw/sinwan_web/main/tw/index.asp)
6. 世界半導體貿易統計協會(WSTS),(https://www.wsts.org/)