| 摘要(英) |
The polarizer industry has officially entered an era of high quality demand and intense price competition. Other than improving performance and enhancing the slimness of the product, the R&D of companies in this industry focuses on cost reduction or new material discovery. Under the structure of Advanced Product Quality Planning of new product development, this research applies the concurrent engineering systematic concept to discover new product. With the cooperation of R&D, Quailty mangement, Engineering, and Production division, and the concept of robust decision and statistic analysis method, the new material development is capable of stabilizing the defects in grind process, minimizing the product defects variation, and allowing massive production.
This study focuses on reducing defects of grind process after applying the new material. The two major defects are the surface crack and the third-layer peeling. In order to minimize the defects we apply the multi-criteria robust design. Through the cause-and-effect diagram, this research is able to identify the major characteristics of the defects and to locate the potential factors for the first-stage experiment, and the R-square of the results at this stage is about 80%. With the intention to have continuous improvement, the second-stage experiment is performed based on the optimized parameters from the first-stage results. All experiments applied the Taguchi Methods of Robust Design on S/N ratio analysis, mean analysis, Pareto frontier, and parameter application theorem. Furthermore, along with the cost and revenue relationship, these experiments also applied multi-criteria optimization comparision. Finally, confirmation experiments were performed to varify the proposed model. The optimal solution surface crack is reduced from 200um to 46um.Third-layer peeling is shorten from 250um to 66um. And the product defects variation is reduced from 17um to 5um.
With the achievement of producing representative product at current stage and minimized material costs, this research on new-materialized polarizer product can be served as a benchmark on polarize material application technique. Moreover, this research can also be served as a reference for future study on robust design, which prevents further cost due to corrective activity on mass production stage, and avoids defects from grind process which might cause customers’ complain or application problems related to product. |
| 參考文獻 |
[1] 矢野宏，簡易品質工程，陳耀茂譯，中國生產力中心，民國79年。
[2] 黎正中編譯，穩健設計之品質工程，台北圖書，民國82年。
[3] Roy, P.K.,"A Primer on the Taguchi Method, Competitive ManufacturingSeries" Van Nostrand Reinhold, NY 1990.
[4] Kackar, R.N.,"Taguchi’s Quality Philosophy: Analysis and Commentary,"Quality Press, 1986.
[5] Hsu, H-H.,"A Windows-Based Computer Software for Taguchi Methods," Ph.D.Dissertation, Auburn University, Alabama, 1988.
[6] 楊育碩，「以田口最佳化多孔矽奈米粉末和成參數以改善鋰離子電池陽極材料充放電性質」，國立清華大學，碩士學位論文，民國103年。
[7] 廖祥帆，「利用田口法優化LED燈管之研究」，國立中央大學，碩士論文，民國100年。
[8] 呂俊麟，「三維異質整合微系統晶片之可靠度分析」，國立清華大學，碩士論文，民國99年。
[9] 劉庭豪，「應用多目標規劃法於低碳運輸計畫之預算分配」，國立交通大學，碩士論文，民國101年。
[10] 馮正民、邱裕鈞，研究分析方法，建都文化，新竹，民國93年。
[11] 張乃斌，環境系統分析原理（下冊），茂昌圖書有限公司，台北，民國91年。
[12] 黃信博，「利用多目標最佳化演算法實作以混搭為基礎適性化程式設計學習」，國立中央大學，碩士論文，民國98年。
[13] 黃國展，「無線通訊系統之多目標功率追蹤控制利用柏拉圖最佳化方法」，國立清華大學，碩士論文，民國101年。
[14] 網路資料取自群創光電:http://www.innolux.com
[15] 網路資料取自明基材料http://www.benqmaterials.com/
[16] 台灣面板產業競爭態勢及未來發展http://www.fpdisplay.com/2013/6
[17] Glen Stuart Peace,Taguchi Methods：a hands-on approach ,Addison-Wesley Publishing Company ,1993.
[18] 白賜清，工業實驗計畫法，中華民國品質管制學會，民國85年。
[29] 劉克琪，實驗設計與田口式品質工程，華泰書局，民國83年。
[20] 田口玄一，品質設計的實驗計畫法，黃廷彬譯，中國生產力中心， ，民國80年。
[21] Phadke, M.S., Quality Engineering using Robust Design, Prentice-Hall, 1989.
[21] 黃廷彬、蔡春榮，田口式品質工程技術手冊，中國生產力中心，民國83年。
[22] Sung, M-H., Lingineni, M. and Hwang, H-G., "A New Approach to Cutting Tool Selection Using the Taguchi Method and Expert System, " Journal of Da-Yeh Institute of Technology, 1(1), 1992.
[23] Cheng, B.W. and Maghsoodloo, S., "Optimization of Mechanical Assembly Tolerances Incorporating Taguchi′s Quality Loss Function, Journal of Manufacturing Systems," Vol. 14, No. 4, 1995
[24] Ross, P.J., "Taguchi Techniques for Quality Engineer," McGraw-Hill, NY 1996.
[25] Lin, J-L., Wang, K-S., Yan, B-H. and Tarng, Y-S., "Optimization of the Electrical Discharge Machining Process Based on the Taguchi Method with Fuzzy Logics," Journal of Materials Processing Technology, Vol.102, Issue:1-3, 2000
[26] Wang, G-J., Tsai, J-C., Tseng, P-C. and Chen, T-C., "Neural-Taguchi Method for Robust Design Analysis," Journal of the Chinese Society of Mechanical Engineers, Vol. 19, No. 20, 1998.
[27] Hong, C-L., Lin, C-Y. and Lai, J-Y., "Improvement of a Dimensional
Measurement Process Using Taguchi Robust Designs," Quality Engineering – an International Journal, Vol. 9, No. 4. |
[Endnote RIS 格式]
[相關文章]
[文章引用]
[完整記錄]
[館藏目錄]
至系統瀏覽論文 ( 永不開放)
plurk
funp
live
udn
HD
myshare
netvibes
friend
youpush
delicious
baidu
Google bookmarks
del.icio.us
hemidemi
facebook
twitter
google
reddit