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姓名 游聰建(Tsungchien Yu) 查詢紙本館藏 畢業系所 工業管理研究所在職專班 論文名稱 新產品導入階段搭配新、舊設備生產之載具需求研究-以面板產業個案公司為例
(New product introduction phase with the new and old equipment load tools demand - to the panel industry case companies)相關論文 檔案 [Endnote RIS 格式]
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摘要(中) 2010年正式邁入3D-LCD（3 dimensions-Liquid Crystal Display）的新紀元。3D-LCD新產品在生產初期，為節省廠房及設備成本，會將生產3D-LCD的設備建置在原有生產TFT-LCD（Thin Film Transistor - Liquid Crystal Display）的工廠，搭配新、舊設備進行生產，但是因為製程不同，舊設備所衍生的產能置換比，比新設備減少約20%的產能輸出，將造成設備稼動率下降，進而影響生產排程。本研究將以生產製程中所產生的瓶頸站對載具需求的影響為方向，針對3D-LCD新、舊設備及生產線流程環境等進行三個階段的研究。第一階段，確認本研究的模型功能是否符合案例公司作業現況。第二階段，比較案例公司的載具需求計算方式與本研究所推導的載具需求計算方式並比較兩者之間的差距。第三階段，將研究成果導入案例公司，降低待料損失，追求最大利潤。
本研究使用模擬軟體來建置一套完整的生產線模型，是一個非常直接且有效率的方式，針對不固定的設備狀況及良率狀況，隨時將資訊更新，就能在模擬軟體的協助下大幅縮短攏長的計算程序。在使用模擬軟體過程中，需特別注意模型建置完成後的驗證與資料收集，避免因參數設定的及小誤差而產生對結果模擬出錯誤的結論。
摘要(英) The 3D-LCD (3 dimensions-Liquid Crystal Display) was officially entered into a new era in 2010. The new products of 3D-LCD in an early phase , In order to save the plant and equipment costs , The production of 3D-LCD equipment build factories in the original production of TFT-LCD (Thin Film Transistor - Liquid Crystal Display), But the process is different, The output of the old equipment capacity has reduced by 20 percent as compared with new equipment .The influence of output on product plan are serious.
This research in the direction of the bottleneck in the production process station for load tools demand , We will complete the research in three phase . The first phase, Our simulation model passed muster with the case company actual status , The second phase , Compared the load tools compute of case company with our simulation model and the gap between the two. The third phase of research results into the case companies to reduce the loss of to be expected and pursuit of maximum profit.
This research uses simulation software to build a complete production line model, It is a very direct and efficient way for non-fixed equipment condition and yield conditions at any time to update the information, The assistance of the simulation software will be able to substantially shorten the rope length computing procedure. Using the simulation software, Pay particular attention to the model to build after the completion of the verification and data collection, to avoid the parameter settings and error to produce simulation results to the wrong conclusions.
關鍵字(中) ★ 3D-LCD
★ 載具需求
★ 產能置換比關鍵字(英) ★ capacity replacement ratio
★ Load tools demand
★ 3D-LCD論文目次 The 3D-LCD (3 dimensions-Liquid Crystal Display) was officially entered into a new era in 2010. The new products of 3D-LCD in an early phase , In order to save the plant and equipment costs , The production of 3D-LCD equipment build factories in the original production of TFT-LCD (Thin Film Transistor - Liquid Crystal Display), But the process is different, The output of the old equipment capacity has reduced by 20 percent as compared with new equipment .The influence of output on product plan are serious.
This research in the direction of the bottleneck in the production process station for load tools demand , We will complete the research in three phase . The first phase, Our simulation model passed muster with the case company actual status , The second phase , Compared the load tools compute of case company with our simulation model and the gap between the two. The third phase of research results into the case companies to reduce the loss of to be expected and pursuit of maximum profit.
This research uses simulation software to build a complete production line model, It is a very direct and efficient way for non-fixed equipment condition and yield conditions at any time to update the information, The assistance of the simulation software will be able to substantially shorten the rope length computing procedure. Using the simulation software, Pay particular attention to the model to build after the completion of the verification and data collection, to avoid the parameter settings and error to produce simulation results to the wrong conclusions.
參考文獻 1. 張燕萍，「不可思議的酷盒子−解構數位視訊接收解碼器(Set Top Box)」，網路社會學通訊，2006，12月。
2. 王玠仁，STB產業－美國停播類比訊號帶動商機，台灣工銀證券投顧07/06/2007。
3. 友達光電公司，友達光電公司網頁http://www.auo.com，2007。
4. 呂博裕、何仁祥、李湘婷、與蕭重立，「聯盟關係下國際性供應鏈之模擬分析」，商管科技季刊，Vol. 5，No. 3，pp. 251-274，2004。
5. 呂博裕與林嘉政，「送達時間保證下三階層供應鏈之模擬研究」，計量管理期刊，Vol. 2，No. 2，pp. 131-152，2005。
6. 李欣岳，「股王真的會落在IC設計領域嗎？」，數位時代雙週刊，2004，5月。
7. 林君諺，「流行性產品的存貨管理」，國立台灣科技大學工業管理研究所碩士論文，2000。
8. 洪文鎰，「在價格敏感的隨機需求下針對短生命週期產品的供應商選擇及分配」，國立成功大學工業與資訊管理研究所碩士論文，2004。
9. 鄭誌華，「三階層供應鏈中針對短生命週期產品的供應商選擇、定價及訂貨策略之研究」，國立成功大學工業管理研究所碩士論文，2003。
10. 蔡春祥，「短生命週期產品的存貨管理」，國立台灣科技大學工業管理研究所碩士論文，2002。
11. 羅方禎與李柏璁，「TFT-LCD Processing and Technologies」，國立交通大學光電系技術報告，2006。
12. Bass, F. M., “A New Product Growth for Model Consumer Durables”, Management Science, Vol. 15, No. 5, pp. 215-227, 1969.
13. Christy, D. F. and J. J. Kanet, “Manufacturing Systems with Forbidden Early Shipment: Implications for Choice of Scheduling Rules”, International Journal of Production Research, Vol. 28, No. 1, pp. 91-100, 1990.
14. Closs, D. J., A. S. Roath, T. J. Goldsby, J. A. Eckert, and S. M. Swartz, “An empirical Comparison of Anticipatory and Response-Based Supply Chain Strategies”, International Journal of Logistics Management, Vol. 9, No. 2, pp. 21-33, 1998.
15. Higuchi, T. and M. D. Troutt, “Dynamic Simulation of the Supply Chain for a Short Life Cycle Product─Lessons from the Tamagotchii Case”, Computers & Operations Research, Vol. 31, pp. 1097-1114, 2004.
16. Imagine That, Inc., Extend Version 6 User’s Guide, 2002.
17. Kurawarwala, A. A. and H. Matsuo, “Product Growth Models for Medium-Term Forecasting of Short Life Cycle Products”, Technological Forecasting and Social Change, Vol. 57, pp. 169-196, 1998.
18. Lapide, L., “A Simple Approach for Short Product Lifecycle Forecasting”, The Journal of Business Forecasting Methods & Systems, Vol. 20, No. 1, pp. 18-20, 2001.
19. Law, A. M. and W. D. Kelton, Simulation Modeling and Analysis, McGraw-Hill, New York, 2nd edition, 2000.
20. Lee, J., Y. Cho, J.-D. Lee, and C.-Y. Lee, “Forecasting Future Demand for Large-Screen Television Sets Using Conjoint Analysis with Diffusion Model”, Technological Forecasting and Social Change, Vol. 73, pp. 362-376, 2006.
21. Liu, B., J. Chen, S. Liu, and R. Zhang, “Supply-Chain Coordination with Combined Contract for a Short-Life-Cycle Product”, IEEE Transactions on Systems, Man, and Cybernetics─Part A: Systems and Human, Vol. 36, No. 1, pp. 53-61, 2006.
22. Sha, D. Y. and C.-H. Liu, “Using Data Mining for Due Date Assignment in a Dynamic Job Shop Environment”, International Journal of Advanced Manufacturing Technology, Vol. 25, No. 11-12, pp. 1164-1174, 2005.
23. Shang, J. S., S. Li, and P. Tadikamalla, “Operational Design of a Supply Chain System Using the Taguchi Method, Response Surface Methodology, Simulation, and Optimization”, International Journal of Production Research, Vol. 42, No. 18, pp. 3823-3849, 2004.
24. Weng, Z. K., “The Power of Coordinated Decisions for Short-Life-Cycle Products in a Manufacturing and Distribution Supply Chain”, IIE Transactions, Vol. 31, pp. 1037-1049, 1999.
25. Weng, Z. K. and T. McClurg, “Coordinated Ordering Decisions for Short Life Cycle Products with Uncertainty in Delivery Time and Demand”, European Journal of Operational Research, Vol. 151, pp. 12-24, 2003.
26. Zhu, K., New Approaches to Inventory Management, Ph.D. Dissertation, the Department of Management Science and Engineering of Stanford University, 2002.
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