TFT-LCD產業有兩個重要之趨勢造成TFT-LCD產能規劃議題變得既重要又非常的複雜：(1)產品類型應用廣，例如：顯示器，筆記型電腦，電視和工業顯示器，造成產品族之種類繁多；(2) 新製程技術的快速發展，造成生產環境為多種類的世代廠區並存的複雜製造環境。另外，TFT-LCD產業需求預測存在高度不確定性，如何考量此不確定性因子已嚴然成為TFT-LCD產業在產能規劃之重要議題。
TFT-LCD之產能規劃是在淨利潤最大化的目標下，考量相關的限制條件，規劃供給（Supply）與需求（Demand）平衡的問題。本研究將針對TFT-LCD產業產能規劃相關特性限制進行分析，藉由分析供給面（Supply）、需求面（Demand）以及此產能獨特之生產鏈上瓶頸飄移的現象，將TFT-LCD產業之產能規劃議題分類。本研究僅針對TFT 陣列（Array）多廠區產能規劃之決策模式進行研究，不僅建構需求確定性(Deterministic demand)之產能規劃數學模式，而且考量影響產能規劃最重大之不確定的需求(Uncertainty demand)，提出一兩階隨機規劃數學模型。
本研究主要目的為考量需求之不確定性下以及TFT-LCD在陣列製造上，各產品族於不同世代廠區生產的材料利用率、各世代廠區的產能與生產能力限制、生產變動成本、存貨驅動成本等，以最大化利潤為目標，決定陣列各世代廠區最適合生產的產品族集合，與各產品族於各世代廠區之生產數量。當供需不平衡且可用產能小於產能需求時，決策者利用購買瓶頸機台之附屬設備(光罩)來擴充產能，提出一穩健擴充產能計畫。本研究提出兩階隨機規劃模式建構需求不確定性之產能規劃模型，最後利用個案數據驗證需求不確定性比需求確定性之產能規劃模式的淨利潤較高，且利用一結合Monte Carlo simulation的實驗來證明當需求波動劇烈時，建議應使用需求不確定性之產能規劃模式規劃擴充產能計畫會較佳。

1. 林則孟，「生產計畫與管理」，華泰文化，2006。
2. 陳子立，「以模擬為基礎之先進規劃與排程法—以TFT-LCD模組廠為例」，國立清華大學工業工程與工程管理學系碩士論文，2003。
3. 陳韋均，「TFT Array 多廠區之產能與產品組合規劃問題」，國立清華大學工業工程與工程管理學系碩士論文，2006。
4. 胡婉琪，「TFT-LCD面板業之需求預測方法論」，國立清華大學工業工程與工程管理學系碩士論文，2006。
5. 蘇淳淳，「供應鏈環境下，上下游製造廠之最佳化產品組合」，國立清華大學工業工程與工程管理學系碩士論文，2000。
6. Ahmed, S., King, A. J., and Parija, G., “A Multi-Stage Stochastic Integer Programming Approach for Capacity Expansion under Uncertainty,” Journal of Global Optimization, 26, pp.3-24, 2003.
7. Bai, D., Carpenter, T., and Mulvey, J., “Making a Case for Robust Optimization Models,” Management Science, Vol. 43, pp.895-907, 1997.
8. Barahona, F., Bermon, S., Gunluk, O., and Hood, S., “Robust Capacity Planning in Semiconductor manufacturing,” 2005.
9. Bermon, S., and Hood, S., “Capacit optimization planning system (CAPS),” Interfaces 29, 5, pp31-50, 1999.
10. Brandimarte, P., “Multi-item capacitated lot-sizing with demand uncertainty,” International Journal of Production Research, Vol.44, pp.2997-3022, 2006.
11. Çatay, B., Erengüç, Ş. S., and Vakharia, A. J., “Tool capacity planning in semiconductor manufacturing,” Computers and Operations Research, Vol.30, Issue 9, 2003.
12. Chen, Z-L., Li, S., and Tirupati, D., “A scenario-based stochastic programming approach for technology and capacity planning,” Computers & Operations Research, 29, pp.781-806, 2002.
13. Chen, J.C., Chen C. W., Lin C. J., and Rau H., “Capacity planning with capability for multiple semiconductor manufacturing fabs,” Computers & Industrial Engineering, 48, 2005.
14. Christie, R. M. E., and Wu, S. D., “Semiconductor Capacity Planning: Stochastic Modeling and Computational Studies,” IIE Transactions., 2002.
15. Chopra, S., and Meindl, P., “Supply chain managment strategy, planning, and operation,” Second Edition, Pearson Education International, 2004.
16. Chun, Y. C., and Hong, I. H., “A Methodology for Product Mix Planning in Semiconductor Foundry Manufacturing,” IEEE Transactions on Semiconductor Manufacturing, Vol. 13, pp. 278-285, 2000.
17. Cox III, J.F., and Blackstone, J.H., “APICS Dictionary,” APICS- The Educational Society for Resource Management, Ninth Edition, 1998.
18. Dantzig, G. B., ”Linear programming under uncertainty,” Management Science, 1, 197-206,1995.
19. Display Search, http://www.displaysearch.com
20. Eppen, G. D., Martin, R. K., and Schrage, L., “A Scenario Approach to Capacity Planning,” Operations Research, Vol. 37, No. 4, 1989.
21. Fleischmann, B., Ferber, S., and Henrich, P., “Strategic Plannign of BMW’s Global Production Network,” Interfaces, Vol.36, No. 3, 2006.
22. Freidenfelds, J. “Capacity expansion: analysis of simple models with applications,” North Holland, 1981.
23. Thompson, S. D., and Davis, W. J., “An integrated approach for modeling uncertainty in aggregate production planning,” IIE Transactions., Vol 20, 1990.
24. Gupta, A., and Maranas, C. D., “A Two-Stage Modeling and Solution Framework for Multisite Midterm Planning under Demand Uncertainty, ” Ind. Eng. Chem. Res., pp.3799-3813, 2000.
25. Gupta, A., and Maranas, C. D., “Managing demand uncertainty in supply chain planning,” computers and chemical engineering., 27, 2003.
26. Hood, S. J., Bermon, S., and Barahona, F., “Capacity Planning Under Demand Uncertainty for Semiconductor Manufacturing,” IEEE Transactions on Semiconductor Manufacturing, Vol. 16, No. 2, May, 2003.
27. Hopp, W.J., and Spearman, M.L., “Factory Physics: Foundations of Manufacturing Management,” Second Edition, McGraw-Hill, 2000.
28. Karabuk, S., and Wu, S. D., “Coordinating strategic capacity planning in the semiconductor industry,” Operations Research, Vol.51, No.6, 2003.
29. Kaut, M., and Wallace, S. W., “Evaluation of scenario-generation methods for stochastic programming, ” Pacific Journal of Optimization, 2003.
30. Leung, S. C. H., Wu, Y., and Lai, K. K., “Multi-site aggregate production planning with multiple objectives: a goal programming approach,” Production Planning and Control, Vol. 14, pp.425-436, 2003.
31. Leung, S. C. H., and Wu, Y., “A robust optimization model for stochastic aggregate production planning,” Production Planning and Control, Vol. 15, pp.502-514, 2004.
32. Leung, S. C. H., Tsang S. O. S., Ng, W. L. and Wu, Y., “A robust model for multi-site production planning problem in an uncertain environment,” European Journal of Operational Research, 2006.
33. Levis, A. A., and Papageorgiou, L. G.., “ A hierarchical solution approach for multi-site capacity planning under uncertainty in the pharmaceutical industry,” Computers and Chemical Engineering, 28, pp.707-725, 2004.
34. Lucas, C., MirHassani, SA., Mitra, G.., and Poojari, CA., “An application of Lagrangian relaxation to a capacity planning problem under uncertainty,” Journal of the Operational Research Society, Vol. 52, pp.1256-1266, 2001.
35. Lin, J.T., Chen, T.L., Lin, Y.T., “A Hierarchical Planning and Scheduling Framework for TFT-LCD Production Chain,” Proceeding of the 2006 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI), 2006.
36. Mula, J., Poler, R., Garcia-Sabater, J. P., and Lario, F. C., “Models for production planning under uncertainty: A review,” International Journal of Production Research, 2006.
37. Mulvey, J. M., Vanderbei, R. J., and Zenios, S. A., “Robust Optimization Of Large-scale Systems,” Operations Research, Vol. 43, 1995.
38. Mieghem, J. A. V., “Capacity Managemnet, Investment, and, Heding:Review and Recent Developments,” Manufacturing & Service Operations Management, 2003.
39. Nam, S-J., and Logendran, R., “Aggregate production planning –A survey of models and methodologies,” European Journal of Operational Research, 61, pp. 255-272, 2006.
40. Paraskevopoulos, D., Karakitsos, E., and Rustem, B, “Robust Capacity Planning under Uncertainty,” Management Science, Vol. 37, pp.787-800, 1991.
41. Papageorgiou, L., Rotstein G. E., and Shah, N., “Strategic Supply Chain Optimization for Pharmaceutical Industry,” Ind. Eng. Chem. Res., 2001.
42. Ruszcynski, A., and Shapiro, A., “Stochastic Programming Models,” Handbooks in OR & MS, Vol. 10
43. Rajagopalan, S., and Swaminathan. J. M., “A Coordinated Production Planning Model with Capacity Expansion and Inventory Management,” Management Scenices, Vol. 47, No. 11, November 2001.
44. Sen, S., and Higle, J. L., “An Introductory Tutorial on Stochastic Linear Programming Models”, Interfaces 29, pp.33-61, 1999
45. Swaminathan, J. M., “Tool procurement planning for wafer fabrication facilities : a scenario-based approach,” IIE Transactions, 2002.
46. Uribe, A. M., Cochran, J. K., and Shunk, D.L., “Two-stage simulation optimization for agile manufacturing capacity planning,” International Journal of Production Research, Vol. 41, 2003.
47. Valente, P., Mitra, G., Sadki, M., and Foure, R., “Extending algebraic modelling languages for Stochastic Programming,” Carisma, 1999.
48. Wang, K. J., and Lin,S. H., “Capacity expansion and allocation for a semiconductor testing facility under constrained budget,” Production Planning and Control, 2002.
49. Wang, K.J., and Hou, T. C., “Modelling and resolving the joint problem of capacity expansion and allocation with multiple resources and a limited budget in the semiconductor testing industry,” International Journal of Production Research, 2003.
50. Wang, S. M. , Wang K. J. , Wee H. M. , and Chen J.C., “An Economic Capacity Planning ModelConsidering Inventory and Capital Time Value,” ICCSA, 2005, LNCS 3483, pp. 333–341, 2005.
51. Wang, K. J., Wang, S. M., and Yang, S. J., “A resource portfolio model for equipment investment and allocation of semiconductor testing industry,” European Journal of Operational Research, 2006.
52. Wang, S. M., J.C. Chena and K.-J. Wang, “Resource portfolio planning of make-to-stock products using a constraint programming-based genetic algorithm,” Omega, Volume 35, Issue 2, April 2007.
53. Yılmaz, P., and Çatay B., “Strategic level three-stage production distribution planning with capacity expansion,” Computers and Industrial Engineering, Vol51 , Issue 4, 2006.