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作者(中文):楊克勝
作者(外文):Yang, Ko-Sheng
論文名稱(中文):運用六標準差設計架構提升產品測試穩定性-以壓塊物件為例
論文名稱(外文):Utilize Design for Six Sigma Framework to Improve Stability of Product Test - A Case of Tooling Block
指導教授(中文):邱銘傳
指導教授(外文):Chiu, Ming-Chuan
口試委員(中文):劉建良
郭財吉
徐昕煒
口試委員(外文):Liu, Chien-Liang
Kuo, Tsai-Chi
Hsu, Hsin-Wei
學位類別:碩士
校院名稱:國立清華大學
系所名稱:工業工程與工程管理學系碩士在職專班
學號:107036519
出版年(民國):109
畢業學年度:108
語文別:中文
論文頁數:64
中文關鍵詞:分類機六標準差設計田口實驗模擬
外文關鍵詞:HandlerDesign For Six SigmaTaguchi experimentSimulation
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半導體測試產業在近年來,經營環境變化快速與相關產業競爭較量,使得客戶不論對品質、成本、交期與服務的要求已是愈來愈高,然而測試部品續航力就是非常關鍵的競爭力指標,若能提高並有效掌控測試部品續航力,則能獲得差異化的競爭優勢。

隨著科技的日新月異,產品規格越做越小,效能需求也越來越高,測試運作所發生定位精度件數也越來越多,直接影響到生產稼動率,更嚴重會造成部品損壞與IC材料壓壞。換言之,為維持測試效率,在分類機與部件壓塊定位精度就更顯得重要。

本研究利用六標準差設計驗證架構,並運用品質機能展開、失效模式分析、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,以較低成本改善了「吸取IC材料所發生定位精度不佳」的技術瓶頸與障礙的排除,達到架構最佳部件壓塊定位之設計。
In recent years, the rapid change of business environment in the semiconductor test industry has been more competing than the related industries, which results in higher and higher customers' requirements in terms of service quality, cost, and delivery time. However, the endurance of test parts is a key competitiveness indicator. If companies can improve and effectively control the endurance of test parts, companies can gain a differentiated competitive advantage.

With the ever-changing development in science and technology, the product specifications are getting smaller and smaller, the efficiency demand is getting higher and higher, and the number of positioning accuracy pieces in the test operation is also increase, which directly affects the production rate, and even more seriously causes part damage and IC material crushing. In other words, in order to maintain the test efficiency, it is obviously more important to improve the positioning accuracy of the component block and the Handler classifier machine.

In this study, six sigma design framework is adopted to verify the jig and tooling structure, and quality function deployment, failure mode analysis, Taguchi experiment and software simulation are applied to develop new tooling block. The proposed method has effectively shortened the development time, improved the technical bottleneck and obstacled removal of "poor positioning accuracy of IC material absorption" at a lower cost, so as to achieve the design of the best component block positioning of the structure.
摘要.............................................................I
ABSTRACT........................................................II
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.......................................................1
1-2 研究動機.......................................................2
1-3 研究目的.......................................................3
1-4 論文架構.......................................................3
第二章 文獻回顧探討 ..................................................5
2-1六標準差設計(Design for Six Sigma, DFSS).........................5
2-2品質機能展開(Quality function Deployment, QFD)...................9
2-3失效模式與效應分析FMEA...........................................12
2-4田口方法(Taguchi Methods)......................................16
2-4-1直交表(Orthogonal Array)及信號雜音比(Signal to Noise Ratio)....20
第三章 研究方法....................................................22
3-1釐清...........................................................23
3-1-1品質機能展開..................................................24
3-2失效模式與效應分析FMEA...........................................26
3-2-1設計失效模式與效應分析實施方法與步驟..............................26
3-3最佳化設計......................................................30
3-3-1實驗流程......................................................30
3-3-2田口直交表....................................................31
3-3-3田口品質工程-產品/製程參數......................................33
3-3-4訊號與雜訊比(Signal to Noise Ratio, S/N)......................34
3-4驗證...........................................................37
3-4-1模擬分析(Simulation)..........................................37
第四章 個案分析.....................................................38
4-1個案公司背景.....................................................38
4-2半導體測試流程及架構..............................................40
4-2-1 分類機架構...................................................41
4-2-2測試配件治具..................................................42
4-3 現況問題描述...................................................43
4-3-1問題探討與分析.................................................44
4-4定義-目標需求...................................................45
4-4-1品質機能展開..................................................45
4-5設計失效模式與效應分析............................................46
4-6訊號與雜訊比分析及最佳參數組合.....................................49
4-7驗證-Verify....................................................52
4-8效益及設計標準化.................................................53
第五章結論與建議....................................................54
5-1結論...........................................................54
5-2研究限制........................................................54
5-3未來研究方向.....................................................54
參考文獻...........................................................56

圖目錄
圖1-1 定位不佳示意圖(本研究整理)......................................1
圖1-2 2019年IC產業產值(來源:台灣半導體產業協會、工研院產科國際所).........2
圖1-3 研究流程圖.....................................................4
圖2-1 五標準差之牆(蘇朝墩,2009).......................................5
圖2-2 六標準差設計流程步驟(本研究整理)...................................7
圖2-3 先期產品品質規劃(博威公司官方網頁)................................14
圖3-1 IDOV研究流程及手法.............................................23
圖3-2 品質屋(House of Quality)......................................25
圖3-3 品質屋四階段(吳貴彬、陳相如,2004)...............................26
圖3-4 整合流程模式(本研究整理)........................................27
圖3-5 實驗流程步驟(本研究整理)........................................30
圖3-6 直交表符號....................................................32
圖3-7 直交表(蘇朝敦,2009)...........................................33
圖3-8 產品/製程之參數圖(蘇朝敦,2009)..................................34
圖4-1 IC Insights、工研院IEK、SIPO整理(2018/07)......................38
圖4-2 108年財報資訊(個案公司提供).....................................39
圖4-3 專利與文章發表件數統計(個案公司提供)..............................39
圖4-4 半導體測試流程(本研究整理)......................................41
圖4-5 分類機系統(Hontech官方網頁)....................................42
圖4-6 IC測試配件治具(本研究整理)......................................43
圖4-7 IC測試動作解析(本研究整理)......................................44
圖4-8 壓塊示意圖....................................................45
圖4-9 品質機能展開圖(本研究整理).......................................46
圖4-10 主效應分析圖..................................................51
圖4-11 訊號與雜訊比分析圖.............................................51
圖4-12 壓塊設計(本研究整理)...........................................52
圖4-13 壓塊模擬結果(本研究整理)........................................53

表目錄
表2-1 一般六標準差與DFSS的比較(蘇朝墩,2009).............................6
表3-1 失效模式與效應分析嚴重性衡量標準表(本研究整理).......................27
表3-2 失效模式與效應分析發生性衡量標準表(本研究整理).......................28
表3-3 失效模式與效應分析偵測性衡量標準表(本研究整理).......................28
表3-4 設計失效模式與效應分析表格範例.....................................29
表3-5 拉丁方格設計 ....................................................31
表4-1 設計失效模式與效應分析展開圖(本研究整理)............................47
表4-2 參數因子與水準對照表.............................................50
表4-3 最佳參數結果表..................................................50
表4-4 變異數分析表 ....................................................52
表4-5 效益改善前後比較(本研究整理)......................................53



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.
Chiozza, M. L., & Ponzetti, C. (2009), “FMEA: A model for reducing medical errors”, Clinica Chimica, Acta 404, pp. 75–78.
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.
Chen, L.H., Ko, W.C., & Yeh, F.T. (2017), “Approach based on fuzzy goal programing and quality function deployment for new product planning”, European Journal of Operational Research, Vol. 259, pp. 654-663.
Cherrafi, A., Elfezazi, S., Chiarini, A., Mokhlis, A., & Benhida, K. (2016), “The integration of lean manufacturing, Six Sigma and sustainability: A literature review and future research directions for developing a specific model”, Journal of Cleaner Production, Vol. 139, pp. 828-846.
Doshi, J., & Desai, D. (2016), “Application of failure mode & effect analysis FMEA for continuous quality improvement – Multiple case studies in automobile smes
”, International Journal for Quality Research, Vol. 11, No. 2, pp. 345-360.
Digehsara, A.A., Rezazadeh, H., Soleimani, M. (2018), “Performance evaluation of project management system based on combination of EFQM and QFD”, Journal of Project Management, Vol. 3, pp. 171-182.
Damanab, P.S., Alizadeh, S.S., Rasoulzadeh, Y., Moshashaie, P. & Varmazyar, S. (2015), “Failure modes and effects analysis (FMEA) technique: a literature review”, Scientific Journal of Review, Vol. 4, No. 1, pp. 1-6.
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.
Findiani, R., Novareza, O., Choiron, M.A. (2019), “Improvement of rHDPE plastic quality using six sigma and taguchi”, Journal of Engineering and Management in Industrial System, Vol. 7, No.2, pp. 77-89.
Guo, Q., Sheng, K., Wang, Z., Zhang, X., Yang, H., Miao, R. (2017), “Research on Element Importance of Shafting Installation Based on QFD and FMEA”, Procedia Engineering, Vol. 174, pp. 677-685.
Hill, J., Thomas, A.J., Mason-Jones, R.K., & Kateb, S.E. (2018), “The implementation of a Lean Six Sigma framework to enhance operational performance in an MRO facility”, Production & Manufacturing Research, Vol. 6, No. 1, pp. 26-48.
Jensen, W. A. (2016), “Confirmation runs in design of experiments”, Journal of Quality Technology, Vol.48, No2, pp. 162-177.
Jomana, M., Beatrice, C.D., & Atour, T. (2019), “Quality Function Deployment-ELECTRE in Supplier Evaluation”, Journal of Advanced Management Science, Vol. 7, No. 4, pp. 131-135.
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.
Keshtkaran, A., Hashemi, N., Kharazmi, E., & Abbasi, M.(2020), “Applying quality function deployment model in burn unit service improvement”, Journal of Burn Care & Research, Vol. 37, No. 5. pp. 440-452.
Liu, H.C., Chen, X.Q., Duan, C.Y., & Wang, Y.M. (2019), “Failure mode and effect analysis using multi-criteria decision making methods: A systematic literature review”, Computers & Industrial Engineering, Vol. 135, pp. 881-897.
Mutlu, N. G. & Altuntas, S. (2019), “Risk analysis for occupational safety and health in the textile industry: Integration of FMEA, FTA, and BIFPET methods”, International Journal of Industrial Ergonomics, Vol 7, No.3 pp. 222-240.
Mi, C., Chen, Y., Zhou, Z., & Lin, C.T. (2018), “Product redesign evaluation: An improved quality function deployment model based on failure modes and effects analysis and 2-tuple linguistic”, Advances in Mechanical Engineering, Vol. 10, No.11, pp. 1-9.
Ma, H., Chu1, X., Xue, D., & Chen, D. (2019), “Identification of to-be-improved components for redesign of complex products and systems based on fuzzy QFD and FMEA”, J Intell Manuf, Vol. 30, pp. 623–639.
Phadke, M. S. (1989), “Quality engineering using robust design(1st)”, Englewood, N.J, Prentice-Hall.
Pun, P.L., Rotanson, J., Cheung, C.W., & Chan, H.S. (2019), “Application of Fuzzy Integrated FMEA with Product Lifetime Consideration for New Product Development in Flexible Electronics Industry”, Journal of Industrial Engineering and Management JIEM, Vol. 12, No. 1, pp. 176-200.
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.
Parmar, N.S., & Khanna, P. (2018), “A review on six sigma methodology in manufacturing industrues”, International Journal of Engineering Sciences & Research Technology, Vol. 7, No. 4, pp. 94-100.
Rezaee, M.J, Salimi1, & A., Yousefi, S. (2017), “Identifying and managing failures in stone processing industry using cost-based FMEA”, International Journal of Advanced Manufacturing Technology, Vol. 88, pp. 3329-3342.
Snee, R. D. (2000), “Impact of six Sigma on quality engineering”, Quality Engineering, Vol.12, No.3, pp. 9-14.
Sharma, K.D., & Srivastava, S. (2018), “Failure mode and effect analysis (FMEA) Implementation: a literature Review”, Journal of Advance Research in Aeronautics and Space Science, Vol. 5, Issue 1&2, pp. 1-17.
Sivadas-Aniyan, T.S., & Pramod, V.R. (2018), “Application of DCOR-QFD model for improving the process performance and quality of the product”, International Journal of Engineering & Technology, Vol. 7, No.1.9, pp. 64-68.
Schwerha, D., Casey, A., & Loree, N.(2020), “Development of a system to integrate safety, productivity, and quality metrics for improved communication and solutions”, Safety Science, Vol. 129, 104765.
Ying, K. G., Cheng, Z.X. & Guang Q.Q. (2019), “An improved FMEA analysis method based on QFD and TOPSIS theory”, International Journal on Interactive Design and Manufacturing , Vol.13, pp. 617-626.
Yazdani, M., Kahraman, C., Zarate, P., & Onar, S.C. (2019), “A fuzzy multi attribute decision framework with integration of QFD and grey relational analysis”, Expert Systems With Applications, Vol. 115, pp. 474–485.
Zhang, X. (2019), “User selection for collaboration in product development based on QFD and DEA approach”, Journal of Intelligent Manufacturing, Vol. 30, pp. 2231–2243.
Zain, S., Ahmad, Z., Ismail, A.F., Yulian, E., & Adesta, T. (2018), “Exploring the design tool attributes with regards to Sustainability perspective: a review”, SkillsMalaysia Journal, Vol.4, No.1, pp. 14-26.

中文文獻
1.王淵立(2013),應用六標準差設計、TRIZ與田口方法於新產品設計-以兩段機械式開關為例,高雄應用科技大學,碩士論文。
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.桑慧敏(2017),一生受用的統計學大數據分析之鑰,高立書局。
4.蘇朝墩(2009),六標準差,前程文化。
5.林李旺(2013),實驗設計與田口方法之實務應用,全華圖書。
6.渡部 義晴(2011),田口方法的應用,鼎茂圖書。
7.陳正昌(2015),Minitab與統計分析,五南圖書。
8.廖裕評、陸瑞強(2017),積體電路測試實務,全華圖書。
9.水野滋、赤尾洋二(2005),品質機能展開法,先鋒企業管理。
10.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。
11.林文燦(2007),應用六標準差設計 (DFSS) 提升工具機開發流程,中華民國品質學會第43屆年會暨第13屆全國品質管理研討會。
12.陳仕勳(2011),發展六標準差設計方法以解決保險業之顧客抱怨,朝陽科技大學,碩士論文。
13.黃仕慶(2013),六標準差設計應用於驅動IC定位點灰階對比度之品質改善-以H公司為例,成功大學,碩士論文。
14.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。
15.林應任(2018),應用QFD手法於智慧感測口罩設計需求之研究,亞東大學,碩士論文。
16.張玄宜(2016),整合KANO模式和QFD於體重管理APP 設計之研究,大業大學,碩士論文。
17.楊錦洲(2018),QFD在台灣的應用,品質月刊,第54卷,第1期,P20 -27。
18.黃紹維(2017),品質機能展開(QFD)運用於高齡者園藝治療之服務設計,銘傳大學,碩士論文。
19.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。
20.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。
21.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。
22.王思婷(2019),利用田口法最佳化以複製模板法回收廢棄碳化矽合成網狀多孔陶瓷,台北科技大學,碩士論文。
23.許瑞義(2020)應用田口品質工程決定半製品最佳參數之研究-以中南部某輪胎公司為例,雲林科技大學,碩士論文。
24.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。
25.簡榜萱(2016),田口直交表實驗法進行稜鏡光學系統之最佳化設計,高苑科技大學,碩士論文。
26.楊凱程(2019),利用田口法規劃製備錳基觸媒於 低溫下進行選擇性催化氧化氨氣之研究,台北科技大學,碩士論文。
27.戴搖廷(2011),應用田口方法至TFT_LCD黑色矩陣檢測缺陷之參數設計,中興大學,碩士論文。
28.陳星海(2019),運用田口手法改善電池極耳焊接後的強度,台北科技大學,碩士論文。
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.吳貴彬、陳相如(2003),失效模式與效應分析之應用,中華民國品質學會第三十九屆年會暨第九屆全國品質管理研討會。
31.林佑蒨(2018),利用QFD與FMEA降低會展流程失效風險,高雄大學,碩士論文。
32.陳宥鳴(2014),功能方塊圖結合FMEA與QFD應用於國軍中型戰術輪車之設計,首府大學,碩士論文。
33.陳楙昆(2014),濕式清洗台(Wet Bench)消防安全監控系統之風險評估-以某半導體廠為例,交通大學,碩士論文。
34.楊玉如(2016),運用FMEA及QFD回應顧客抱怨以強化內部稽核,中華大學,碩士論文。
35.莊益信(2010),整合DFMEA及迴歸方法於半導體IC產品翹曲預測介面設計之研究,樹德科技大學,碩士論文。
36.郭展銓(2011),失效模式效應分析(FMEA)在扣件熱處理製程上之應用,品質月刊,第47卷,第12期,P23-28。
37.翁紹仁、林光甫(2011)可靠度工程之失效模式與效應分析,品質月刊,第47卷,第2期,P32-34。
38.陳俊良(2017),新產品導入管理與實務 - 以自動控制產品為例,台灣科技學,碩士論文。
39.潘俊隆(2016),整合DFMEA與檢核表之技法於產品設計審查,台北科技大學,碩士論文。
40.胡立強(2013),應用FMEA於緊急發電機工程施工問題預防探討,台灣大學,碩士論文。
41.許智凱(2013),運用田口方法決定高速主軸軸承位置與公差之最佳設計值,逢甲大學,碩士論文。
42.黃枝森(2009),應用TRIZ創意方法之系統性改良設計研究—以工具機定位治具為例,勤益科技大學,碩士論文。
43.陳宏亮(2009),整合製程能力指數之一維組裝公差分析與配置方法探討,中央大學,碩士論文。
44.溫敏智(2006),FMEA與TRIZ理論應用在動力手工具問題與決策系統之研究,台灣科技大學,碩士論文。
45.陳群岳(2012),應用六標準差品質改善流程提升精密機械齒輪產品品質,勤益科技大學,碩士論文。
46.楊景勛(2005),應用田口法與基因演算法於衝壓模具之簡化樑模型結構最佳化設計,高雄應用科技大學,碩士論文。

網路資源
1.個案公司網頁,(https://www.spil.com.tw/)
2.世界半導體貿易統計協會(WSTS),(https://www.wsts.org/)
3.鴻勁精密股份有限公司,(https://www.hontech.com.tw/products_detail.php?M=0&Key=11)
4.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 )
5.DOE實驗設計原理與應用,(https://kknews.cc/zh-tw/news/2brjvoy.html)
6.經濟部工業局智慧電子產業計畫推動辦公室,(https://www.sipo.org.tw/industry-overview/industry-ranking.html)
7.台灣半導體產業學會,(https://www.tsia.org.tw/PageContent?pageID=1)
8.EET電子工程專輯,(https://www.eettaiwan.com/)
9.Autodesk company,(https://www.autodesk.com/company)
10.中華民國品質學會,(http://www.csq.org.tw/mp.asp?mp=1)
11.社團法人中國工業工程學會,(https://www.ciie.org.tw/)
12.博威顧問服務股份有限公司,(http://www.broadway.com.tw/management.php?id=4)

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