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研究生： 楊宗翰
Yang, Chung-Han
論文名稱： 考量價格與需求相關隨機動態產能規劃 - 以TFT-LCD產業為例
Stochastic Dynamic Capacity Planning under Price and Demand dependency for TFT-LCD Industry
指導教授： 林則孟
口試委員:
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
Department of Industrial Engineering and Engineering Management
論文出版年： 2010
畢業學年度： 98
語文別： 中文
論文頁數： 122
中文關鍵詞： 薄膜液晶顯示器 、產能規劃 、需求不確定性 、需求與價格相依性 、隨機動態規劃
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    • 本研究主要探討薄膜液晶顯示器(Thin Film Transistor-Liquid Crystal Display, TFT-LCD)產業的中長期產能規劃問題，此產業市場需求具有劇烈波動，再加上產品的價格隨著市場的需求而變異，但是以往只考量需求變動對於產能規劃的影響，而視產品價格為固定值，如此可能導致過於樂觀的產能擴充計畫，無法達到預期結果。因此如何在這種產業環境下做出穩健的(Robust)產能擴充決策，將是本研究的重心。
    本研究將利用ARIMA(p, d, q)模式建立需求預測分配，考量前後期需求的相依性，將未來需求離散化以情境樹表示之，通過Regression Analysis的手法找到需求與價格的關係式，並建立一個隨機動態規劃模型，以期能在需求不確定、價格不確定性與需求與價格間相依的環境下，做出一穩健的產能擴充計畫。最後通過一實際的產業案例，作為本研究隨機動態規劃模型之輸入參數，將得到的每期產能規劃結果，利用蒙地卡羅模擬(Monte-Carlo Simulation)抽出樣本外之需求情境和價格，並進一步地比較固定價格、需求與價格相依和價格具有不確定性等三種情境下之產能規劃結果，通過比較所有需求情境與價格情境下規劃求得的利潤平均數、標準差、風險測量值(Value at Risk; VaR)，以驗證將變動價格納入考量之隨機動態規劃模式的有效性以及穩健性。
    經過模擬實驗與分析後，可以得到不管是利潤平均數還是風險測量值等指標，將變動價格納入考量之隨機動態規劃模式均會有較佳的結果，此即代表本研究所提出之數學模式確實可以降低更多的風險，並帶來更多的利潤。

    摘要............................................................................................................................... I 目錄............................................................................................................................... II 圖目錄...........................................................................................................................V 表目錄.......................................................................................................................VIII 第一章 緒論........................................................................................................1 1.1 研究背景與動機..............................................................................................1 1.2 研究目的.........................................................................................................6 1.3 研究範圍與限制.............................................................................................7 1.4 論文架構.........................................................................................................7 第二章 文獻回顧................................................................................................9 2.1 需求與價格相關文獻.....................................................................................9 2.2 產能規劃相關文獻........................................................................................11 2.2.1 需求不確定性之產能規劃方法.........................................................11 2.4 需求不確定性之產能規劃研究模式...........................................................14 2.3 風險評估相關文獻........................................................................................16 第三章 TFT-LCD 產業產能規劃問題之特性分析........................................18 3.1 產能供給特性分析.......................................................................................18 3.1.1 生產鏈廠區結構特性分析.................................................................18 3.1.2 生產鏈廠區與產品機種關係特性分析............................................22 3.1.3 供給面(supply side)特性...................................................................24 3.2 需求面特性分析...........................................................................................25 3.2.1 產品特性分析.....................................................................................25 3.2.2 產品需求特性.....................................................................................26 3.3 價格面特性分析............................................................................................29 III 3.4 供給與需求預測之平衡特性分析...............................................................30 3.5 TFT-LCD 產業之產能規劃議題分類...........................................................31 第四章 考量需求不確定性與價格相依性之隨機動態產能規劃..................36 4.1 問題定義........................................................................................................36 4.2 研究模式........................................................................................................39 4.2.1 產生需求分配.....................................................................................41 4.2.2 產生需求情境值與需求轉移機率.....................................................42 4.2.3 產生需求與價格關係.........................................................................45 4.3 需求不確定與價格相依性之單階多廠區動態產能規劃............................48 4.3.1 隨機動態規劃方法說明.....................................................................48 4.3.2 建立隨機動態規劃模型.....................................................................49 4.4 範例說明........................................................................................................52 第五章 模擬實驗與分析..................................................................................72 5.1 模擬實驗架構與結果..................................................................................72 5.1.1 實驗目的..........................................................................................72 5.1.2 樣本內需求情境與價格需求關係分配驗證隨機動態規劃之有效 性..................................................................................................................72 5.1.3 樣本外需求情境與價格驗證隨機動態規劃之穩健性..................74 5.2 實際案例驗證..............................................................................................78 5.2.1 情境說明..........................................................................................78 5.2.2 產生需求分配與需求情境........................................................................79 5.2.3 產生需求與價格關係分配..............................................................81 5.2.4 建立隨機動態規劃模式..................................................................86 5.2.5 隨機動態規劃結果............................................................................87 5.2.5 蒙地卡羅驗證隨機規劃結果............................................................91 第六章 結論與建議..................................................................................................101 IV 6.1 結論.............................................................................................................101 6.2 建議.............................................................................................................101 參考文獻....................................................................................................................103 附錄一 產業案例輸入資料......................................................................................112 附錄二 Demand Sample Path...................................................................................115 附錄三 Simulation Result.........................................................................................119 V 圖目錄 圖1. 1 需求與價格對時間變化圖(資料來源: Display Search) ..................................2 圖1. 2 固定價格與需求關係.......................................................................................3 圖1. 3 相依價格與需求關係........................................................................................4 圖1. 4 產能不足下，兩情境對於損失利益的評估....................................................4 圖1. 5 價格不確定性....................................................................................................5 圖1. 6 價格不確定性下損失利益的評估....................................................................5 圖1. 7 需求與價格關係圖............................................................................................6 圖1. 8 論文組織架構圖................................................................................................8 圖2. 1 在需求不確定下，需求與價格之關係............................................................9 圖2. 2 多重訂價之示意圖..........................................................................................10 圖2. 3 隱藏馬可夫(3 states, 3 observations)..............................................................11 圖2. 4 二階隨機規劃示意圖(朱 2009).....................................................................12 圖2. 5 多階隨機規劃示意圖(朱 2009).....................................................................12 圖2. 6 需求不確定性之產能規劃研究模式(朱 2009).............................................15 圖3. 1 TFT-LCD 產業多階的生產環境，陳(2006)..................................................19 圖3. 2 TFT-LCD 陣列製程(溫 2008)........................................................................19 圖3. 3 TFT-LCD 模組製程(溫 2008)........................................................................20 圖3. 4 TFT-LCD 模組製程(溫 2008).......................................................................20 圖3. 5 多階多廠區環境示意圖(張 2007).................................................................21 圖3. 6 單階層多廠區生產結構(朱 2009).................................................................21 圖3. 7 生產單位轉換(朱 2009).................................................................................22 圖3. 8 TFT-LCD 各世代廠生產不同尺寸面板的切裂數示意圖(陳 2006) ...........22 圖3. 9 TFT-LCD 產業之產品階層架構示意圖，陳(2006)......................................26 圖3. 10 國內三大面板廠之大尺寸出貨量資料(資料來源：公司法說會公開資料) VI .....................................................................................................................................27 圖3. 11 國內某面板廠之出貨量資料(朱 2009).......................................................28 圖3. 12 需求狀態轉移示意圖(朱 2009)...................................................................29 圖3. 13 需求與價格隨時間變化圖(資料來源：Display Search).............................29 圖3. 14 需求與價格關係圖(資料來源：Display Search).........................................30 圖3. 15 三階段產能與產品組合規劃示意圖，陳(2006)........................................32 圖3. 16 兩階隨機規劃法示意圖................................................................................33 圖3. 17「以陰影價格為基之分解演算法」示意圖，示(2008)..............................34 圖3. 18 以情境樹為基之多階隨機規劃示意圖(朱 2009).......................................35 圖3. 19 隨機動態規劃決策示意圖(朱 2009)...........................................................35 圖4. 1 考量需求不確定性與價格需求相依性之研究模式......................................39 圖4. 2 研究方法與進行步驟.....................................................................................40 圖4. 3 ARIMA(p,d,q) 需求預測模型建立步驟(朱2009)........................................42 圖4. 4 需求情境的產生..............................................................................................43 圖4. 5 需求情境樹(Demand Scenario Tree)示意圖.................................................43 圖4. 6 Regression Analysis 之流程............................................................................45 圖4. 7 (Linear) ............................................................................................................46 圖4. 8 (Quadratic) .......................................................................................................46 圖4. 9（Cubic）.........................................................................................................47 圖4. 10 需求與價格關係圖........................................................................................47 圖4. 11 價格建構步驟流程........................................................................................48 圖4. 12 隨機動態規劃時序圖(朱 2009)...................................................................48 圖4. 13 調整斜率之關係圖........................................................................................67 圖5. 1 三種不同模型之輸入需求與價格型態..........................................................73 圖5. 2 蒙地卡羅驗證架構..........................................................................................74 圖5. 3 單階多廠區架構示意圖..................................................................................79 VII 圖5. 4 32.0" Linear Regression...................................................................................82 圖5. 5 32.0" Quadratic Regression .............................................................................83 圖5. 6 32.0" Cubic Regression....................................................................................83 圖5. 7 14.1"A ..............................................................................................................84 圖5. 8 20.1"A ..............................................................................................................85 圖5. 9 22.0"A ..............................................................................................................85 圖5. 10 32.0"B ............................................................................................................85 圖5. 11 37.0"A ............................................................................................................86 圖5. 12 14.1”A 需求資料...........................................................................................91 圖5. 13 14.1”A 價格資料..........................................................................................92 圖5. 14 20.1”B 需求資料..........................................................................................92 圖5. 15 20.1”B 價格資料..........................................................................................92 圖5. 16 22.0”A 需求資料..........................................................................................93 圖5. 17 22.0”A 價格資料...........................................................................................93 圖5. 18 32.0”B 需求資料...........................................................................................93 圖5. 19 32.0”B 價格資料...........................................................................................94 圖5. 20 37.0”A 需求資料...........................................................................................94 圖5. 21 37.0”A 價格資料........................................................................................94 圖5. 22 14.1”A 產能資訊..........................................................................................95 圖5. 23 20.1”B 產能資訊..........................................................................................96 圖5. 24 22.0”A 產能資訊..........................................................................................96 圖5. 25 32.0”B 產能資訊...........................................................................................97 圖5. 26 37.0”A 產能資訊...........................................................................................97 圖5. 27 Profit distribution of different optimization model........................................98 VIII 表目錄 表3. 1 多期產品需求示意圖(朱 2009).....................................................................26 表3. 2 某產品機種之需求預測資料(朱 2009).........................................................28 表3. 3 產能規劃問題分類(朱 2009).........................................................................31 表4. 1 37.0"需求與價格之歷史資料(display search 04-06) .....................................45 表4. 2 37.0"需求與價格之歷史資料(display search 07-09) .....................................46 表4. 3 規劃期間內各期之需求分配.........................................................................52 表4. 4 Fixed Price Policy(n=3) ...................................................................................55 表4. 5 Fixed Price Policy(n=2) ...................................................................................57 表4. 6 Fixed Price Policy(n=1) ...................................................................................58 表4. 7 Relative Price Policy(n=3)...............................................................................59 表4. 8 Relative Price Policy(n=2)...............................................................................60 表4. 9 Relative Price Policy(n=1)...............................................................................62 表4. 10 Price Uncertainty Policy(n=3) .......................................................................63 表4. 11 Price Uncertainty Policy(n=2) .......................................................................64 表4. 12 Price Uncertainty Policy(n=1) .......................................................................66 表4. 13 斜率變化下產能擴充決策差異比較...........................................................68 表4. 14 標準差變化下產能擴充決策差異比較........................................................69 表4. 15 斜率為-0.02 下固定價格決策....................................................................70 表5. 1 移轉機率矩陣 表5. 2 移轉機率累積分配.................75 表5. 3 需求情境範例..................................................................................................75 表5. 4 14.1”A 產品每期之需求預測.........................................................................76 表5. 5 14.1”A 根據需求情境算出之需求情境值.....................................................76 表5. 6 蒙地卡羅抽樣結果..........................................................................................77 表5. 7 通過反函數推論出error term 的值............................................................77 IX 表5. 8 對應需求情境值下的價格..............................................................................77 表5. 9 五種產品年出貨量資料(07’01~07’12) ..........................................................79 表5. 10 五種產品的需求預測模型............................................................................80 表5. 11 離散化後的需求情境值................................................................................81 表5. 12 32.0" 出貨量與價格資料..........................................................................82 表5. 13 固定價格規劃結果(T=1) .............................................................................88 表5. 14 固定價格規劃結果(T=2) ..............................................................................88 表5. 15 固定價格規劃結果(T=3) ..............................................................................88 表5. 16 固定價格規劃結果(T=4) ..............................................................................89 表5. 17 固定價格規劃結果(T=5) ..............................................................................89 表5. 18 相依價格規劃結果(T=1) ..............................................................................89 表5. 19 相依價格規劃結果(T=2) ..............................................................................89 表5. 20 相依價格規劃結果(T=3) ..............................................................................89 表5. 21 相依價格規劃結果(T=4) ..............................................................................90 表5. 22 相依價格規劃結果(T=5) ..............................................................................90 表5. 23 價格不確定性規劃結果(T=1) ......................................................................90 表5. 24 價格不確定性規劃結果(T=2) ......................................................................90 表5. 25 價格不確定性規劃結果(T=3) ......................................................................90 表5. 26 價格不確定性規劃結果(T=4) ......................................................................91 表5. 27 價格不確定性規劃結果(T=5) ......................................................................91 表5. 28 平均數和變異數比較表...............................................................................97 表5. 29 mean & VaR measure of the simulation result (USD)...................................99

    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。
    2. 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。
    3. 張益菁，「考慮需求不確定之單階多廠產能規劃問題─以TFT-LCD 產業為
    例」，國立清華大學工業工程與工程管理學系碩士論文，2007。
    4. 示欣惠，「二階層多廠區產能規劃─以TFT-LCD 產業為例」，國立清華大學工
    業工程與工程管理學系碩士論文，2008。
    5. 李依玲，「多產品隨機價量函數下之動態產能規劃」，國立台灣大學工業工程學
    研究所碩士論文，2009。
    6. 朱曉晴，「考量需求不確定之隨機動態產能規劃─以TFT-LCD 產業為例」國立
    清華大學工業工程與工程管理學系碩士論文，2009。
    7. Ahmed, S, “Semiconductor Tool Planning via Multi-Stage Stochastic
    Programming”, Proceedings of 2000 International Conference on Modeling and
    Analysis of Semiconductor Manufacturing, pp.153-157, 2002.
    8. Ahmed, S. and Garcia, R., “Dynamic Capacity Acquisition and Assignment under
    Uncertainty”, Annals of Operations Research, 124, pp. 267-283, 2004.
    9. Ahmed, S. and Sahinidis, N. V., “An Approximation Scheme for Stochastic
    Integer Programs arising in Capacity Expansion”, Operations Research, 51（3）,
    pp.461-471, 2003.
    10. Ayuso, A. A., Escudero, L. F., Grain, A., Ortuno, M. T. and Perez, G., “An
    Approach for Strategic Supply Chain Planning under Uncertainty based on
    Stochastic 0-1 Programming”, Journal of Global Optimization, 26, pp.97-124,
    2003.
    11. Ayuso, A. A., Escudero, L. F., Grain, A., Ortuno, M. T. and Perez, G., “On the
    Product Selection and Plant Dimensioning Problem under Uncertainty”, Omega,
    33, pp.307-318, 2005.
    12. Barahona, F., Bermon, S., Gunluk, O. and Hood, S., “Robust Capacity Planning
    104
    in Semiconductor Manufacturing”, Naval Research Logistics, 52, pp.459-468,
    2005.
    13. Balachandran, B. V., Balakrishnan, R. and Sivaramakrishnan, K., “Capacity
    Planning with Demand Uncertainty”, The Engineering Economist, 43（1）,
    pp.49-72,1997.
    14. Bermon, S. and Hood, S. J., “Capacity Optimization Planning System”, Interface,
    15. Bhatnager, S., Gaucherand, E. F., Fu, M. C., He, Y. and Marcus, S. I., “A
    Markov Decision Process Model for Capacity Expansion and Allocation”,
    Proceedings of the 38th Conference on Decision & Control, pp.1380-1385,
    1999.
    16. Biller, S., Muriel, A., & Zhang, Y. , “ Impact of Price Postponement on Capacity and
    Flexibility Investment Decisions. ”, Society, 15(2), 198 -214,2006.
    17. Birge, J. R. and Louveaus, F., “Introduction to Stochastic Programming”,
    Springer-Verlag, 1997.
    18. Bok, J. K., Lee, H. and Park, H., “Robust Investment Model for Long-range
    Capacity Expansion of Chemical Processing Networks under Uncertain Demand
    Forecast Scenarios”, Computers & Chemical Engineering, 2（7-8）,pp.1037-1049,
    1998.
    19. Blackhurst, J., Wu, T. and O’grady, P., “Network-Based Approach to Modeling
    Uncertainty in A Supply”, International Journal of Production Research, vol.42,
    no.8, 1639-1658, 2004.
    20. Carrion, M., Philpott, A. B., Conejo, A. J. and Arroyo, J. M., “A Stochastic
    Programming Approach to Electric Energy Procurement for Large Consumers”,
    IEEE Transaction on Power System, vol.22, no.2, 2007.
    21. Catay, B., Erenguc, S. S. and Vakharia, A. J., “Tool Capacity Planning in
    Semiconductor Manufacturing”, Computers and Operations Research, 30,
    pp.1349-1366, 2003.
    22. Chen, Z. L., Li, S. and Triupati, D., “A Scenario-Based Stochastic Programming
    Approach for Technology and Capacity Planning”, Computers & Operations
    Research, 29, pp.781-806, 2002.
    23. Chen, T. L., Lin, J. T., and Fang, S. C., “A Novel Shadow-Price Based Heuristic
    105
    for Multi-Site Capacity Planning in the TFT-LCD Manufacturing Industry”,
    Working paper, 2008.
    24. Chou, Y. C., Cheng, C. T., Yang, F. C. and Liang, Y. Y., “Evaluating Alternative
    Capacity Strategies in Semiconductor Manufacturing under Uncertain Demand and
    Price Scenarios”, International Journal of Production Economics, 105, pp.591-606,
    2007.
    25. Christie, R. M. E. and Wu, S. D., “Semiconductor Capacity Planning: Stochastic
    Modeling and Computational Studies”, IIE Transactions, 34, pp. 131-143, 2002.
    26. Cheng, L., Subrahmanian, E. and Westerberg, A. W., “Multi-Objective Decisions on
    Capacity Planning and Production-Inventory Control under Uncertainty”, Industry
    Engineering and Chemical Research, 43, 2192-2208, 2004.
    27. Choi, J., Realff, M. J. and Lee, J. H., “Stochastic Dynamic Programming with
    Localized Cost-to-go Approximators: Application to Large Scale Supply Chain
    Management under Demand Uncertainty”, Chemical Engineering Research and
    Design, 83(A6), 752-758.
    28. Choi, J. , Realff, M. J. and Lee, J. H., “Dynamic Programming in a Heuristically
    Confined State Space: A Stochastic Resource-Constrained Project Scheduling
    Application”, Computers and Chemical Engineering, 28, 1039-1058, 2004.
    29. Domenica, N. D., Lucas, C., Mitra, G. and Valente, P., “Scenario Generation for
    Stochastic Programming and Simulation: A Modeling Perspective”, IMA Journal
    of Management Mathematics, pp.1-38, 2007.
    30. Eppen, G. D., Martin, R. K. and Schrage, L., “A Scenario Approach to Capacity
    Planning”, Operations Research, 37（4）, pp.517-527, 1989.
    31. Escudero, L. F., Kamesam, P. V., King, A. J. and Wets, R. J. B., “Production
    Planning via Scenario Modeling”, Annals of Operations Research, 43, pp.311 - 335,
    1993.
    32. Froot, K. a., Scharfstein, D. S., & Stein, J. C. (1993). Risk Management:
    Coordinating Corporate Investment and Financing Policies. The Journal of Finance,
    48(5), 1629.
    33. Fleischmann, B., Ferber, S. and Henrich. P., “Strategic Planning of BMW’s
    Global Production Network“, Interfaces, 36（3）, pp.194-208, 2006.
    106
    34. Geng, N. and Jiang, Z., “Capacity Planning for Semiconductor Wafer Fabrication
    with Uncertain Demand and Capacity”, Proceedings of the 3rd Annual IEEE
    Conference on Automation Science and Engineering, pp. 100-105, 2007.
    35. Grunow, M., Gunther, H. O., Burdenik, H. and Alting, L., “Evolving Production
    Network Structures“, Annals of the CIRP, 56, pp.427-430, 2007.
    36. Hood, S. J., Bermon, S. and Barahona, F., “Capacity Planning under Demand
    Uncertainty for Semiconductor Manufacturing”, IEEE Transactions on
    Semiconductor Manufacturing, 16（2）, pp.173-280, 2003.
    37. Hopp, W.J., and Spearman, M.L., “Factory Physics: Foundations of
    Manufacturing Management”, Second Edition, McGraw-Hill, 2000.
    38. Hua, Z. S. and Huang, F., “A Hybrid Heuristic for PWB Capacity Expansion
    Problem”, Lecture Notes in Computer Science, 4113, pp.802-811, 2006.
    39. Hung, Y. F. and Hu, Y. C., “Solving Mixed Integer Programming Production
    Planning Problems with Setups by Shadow Prices Information”, Computer and
    Operations Research, 25（12）, pp.1027-1042, 1998.
    40. Ho/ yland , K., Kaut, M. and Wallace, S. W., “A Heuristic for Moment-Matching
    Scenario Generation”, Computational Optimization and Applications, 24, 19-185,
    2003.
    41. Ho/ yland , K., Kaut, M. and Wallace, S. W., “Generating Scenario Trees for
    Multistage Decision Problems”, Management Science, vol.47, no.2, pp.295-307,
    2001.
    42. Julka, N., Baines, T., Tjahjono, B., Lendermann, P. and Vitanov V., “A Review of
    Multi-Factor Capacity Expansion Models for Manufacturing Plants: Searching for a
    Holistic Decision Aid”, International Journal of Production Economics, 106,
    pp.607-621, 2007.
    43. Kaut, M., Wallace, S. W., Vladimirou, H., & Zenios, S. A. (2003). Stability analysis
    of a portfolio management model based on the conditional value-at-risk measure.
    Finance, 1-23.
    44. Karabuk, S. and Wu, S. D., “Coordinating Strategic Capacity Planning in the
    Semiconductor Industry”, Operations Research, 51（6）, pp.839-849, 2003.
    45. Kuska, N. G., Romisch, W., Nowak, M. P., Wegner, I. and Kiwiel, K. C., “Power
    107
    Management under Uncertainty by Lagrangian Relaxation”, the 6th International
    Conference Probabilistic Method Applied to Power Systems, PMAPS, vol.2, INESC
    Porto, 2000.
    46. Kouwengerg, R., “Scenario Generation and Stochastic Programming Models for
    Asset Liability Management”, European Journal of Operational Research, 134,
    279-292, 2001.
    47. Lee, S. B. and Luss, H., “Multifacility-Type Capacity Expansion Planning:
    Algorithms and Complexities”, Operations Research, 35（2）, pp.249-253, 1987.
    48. Levis, A. A. and Papageorgiou, L. G., “A Hierarchical Solution Approach for
    Multi-Site Capacity Planning under Uncertainty in the Pharmaceutical Industry”,
    Computer and Chemical Engineering, 28, pp.707-725, 2004.
    49. Li S. and Triupati, D., “Dynamic Capacity Expansion Problem with Multiple
    Product: Technology Selection and Timing of Capacity Additions”, Operations
    Research, 42（5）, pp.958-976, 1994.
    50. Li, H., Hendry, L. and Teunter, R., “A Strategic Capacity Allocation Model for a
    Complex Supply Chain: Formulation and Solution Approach Comparison”,
    International Journal of Production Economics, to appear, 2007.
    51. Liang, Y. Y. and Chou, Y. C., “Option-Based Capacity Planning for
    Semiconductor Manufacturing”, 2003 IEEE International Symposium on
    Semiconductor Manufacturing, pp.77-80, 2003.
    52. Lin, J. T., Chen, T. L. and Lin, Y. T., “A Hierarchical Planning and Scheduling
    Framework for TFT-LCD Production Chain”, 2006 IEEE International
    Conference on Service Operations and Logistics, and Informatics, pp.711-716,
    2006.
    53. Lin, J. T. and Chen, T. L., “A Capacity Planning Model in the TFT-LCD
    Production Chain”, 2007 IEEE/INFORMS International Conference on Service
    Operations and Logistics, and Informatics, pp.460-465, 2007.
    54. Lin, J. T., Chen, T. L. and Chen, W. J., “Capacity and Product Mix Planning
    Problem for TFT Array Multi-Plant”, Journal of the Chinese Institute of Industrial
    Engineers, 24（6）, pp.489-504, 2007.
    55. Lin, J. T., Wu, C. H., Chen, T. L. and Chang, Y. C., “A Stochastic Programming
    108
    Model for Strategic Capacity Planning in TFT-LCD Production Chain”, The 8th
    Asia Pacific Industrial Engineering & Management System and Conference, 2007.
    56. Lin, J. T., Wu, C. H., Chen, T. L., and Shih, S. H., “A Stochastic Programming
    Model for Strategic Capacity Planning under Demand Uncertainty in TFT-LCD
    Production Chain”, Working paper, 2008.
    57. Lim, S. K. and Kim Y. D., “An Integrated Approach to Dynamic Plant Location
    and Capacity Planning”, The Journal of the Operation Research Society, 50（12）,
    pp.1205-1216, 1999.
    58. Liu, M. L. and Sahinidis, N. V., “Bridging the Gap Between Heuristics and
    Optimization: Capacity Expansion Case”, AIChE Journal, 43（9）, pp.2289-2299,
    1997.
    59. Lucas, C., MirHassani, S. A., Mitra, G. And Poojari, C. A., “An Application of
    Lagrangean Relaxation to a Capacity Planning Problem under Uncertainty”,
    Journal of the Operational Research Society, 52, pp.1256-1266, 2001.
    60. Luss, H, “Operations Research and Capacity Expansion Problem: A Survey”,
    Operations Research, 30（5）, pp.907-947, 1982.
    61. Li, Z. and Ierapetritou, M., “Process Scheduling under Uncertainty: Review and
    Challenges”, Computers and Chemical Engineering, 32, 715-727, 2008.
    62. Melo, M. T., Nickel, S. and Gama, F. S. “Dynamic Multi-commodity Capacitated
    Facility Location: A Mathematical Modeling Framework for Strategic Supply Chain
    Planning”, Computers & Operations Research, 33, pp.181-208, 2005.
    63. Mieghem, J. A. V., “Capacity Management, Investment, and Hedging: Review
    and Recent Developments”, Manufacturing & Service Operations Management, 5
    （4）, pp.269-302, 2003.
    64. MirHassani, S. A., Lucas, C., Mitra, G., Messina, E. and Poojari, C. A,
    “Computational Solution of Capacity Planning Models under Uncertainty”, Parallel
    Computing, 26（5）, pp. 511-538, 2000.
    65. Miller, A. C. and Rice, T. R., “Discrete Approximations of Probability
    Distributions”, Management Science, vol.29, no.3, pp.352-362, 1983.
    66. Oh, H. C. and Karimi, I. A., “Regulatory Factors and Capacity-Expansion
    109
    Planning in Global Chemical Supply Chains”, Industrial & Engineering
    Chemistry Research, 43, pp.3364-3380, 2004.
    67. Papageorgiou, L. G., Rotstenin, G. E. and Shah, N., “Strategic Supply Chain
    Optimization for the Pharmaceutical Industries”, Industrial & Engineering
    Chemistry Research, 40, pp.275-286, 2001.
    68. Rockafellar, R. T., & Uryasev, S. (1999). Optimization of Conditional Value-at-Risk,
    1-26..
    69. Rajagopalan, S., “Capacity Expansion and Equipment Replacement: A Unified
    Approach”, Operations Research, 46（6）, pp.846-857, 1998.
    70. Rajagopalan, S and Swaminathan, J. M., “A Coordinated Production Planning
    Model with Capacity Expansion and Inventory Management”, Management
    Science, 47（11）, pp.1562-1580, 2001.
    71. Ricerche, C. M. (2008). Hidden Markov models for scenario generation. IMA
    Journal of Management Mathematics
    72. Ryu, J. H., “Multi-period Planning Strategies with Simultaneous Consideration of
    Demand Fluctuations and Capacity Expansion”, Industrial & Engineering
    Chemistry Research, 45, pp.6622-6625, 2006.
    73. Romauch, M. and Hartl, R. F., “Dynamic Facility Location with Stochastic
    Demands”, SAGA 2005, LNCS 3777, pp.180-189, 2005.
    74. Sahinidis, N. V. and Grossmann, I. E., “Reformulation of the Multiperiod MILP
    Model for Capacity Expansion of Chemical Process”, Operations Research, 40
    （1）, pp.S127-S144, 1992.
    75. Santoso, T., Ahemd, S., Goetschalckx, M. and Shapiro, A., “A Stochastic
    Programming Approach for Supply Chain Network Design under Uncertainty”,
    European Journal of Operational Research, 167, pp.96-115, 2005.
    76. Shapiro, A. and Philpott, A., “A Tutorial on Stochastic Programming”, working
    paper, 2007.
    77. Syam, S. S. “Multiperiod Capacity Expansion in Globally Dispersed Regions”,
    Decision Science, 31（1）, pp.173-195, 2000.
    78. Swaminathan, J. M., “Tool Capacity Planning for Semiconductor Fabrication
    Facilities under Demand Uncertainty”, European Journal of Operation Research,
    110
    120, pp.545-558, 2000.
    79. Swaninathan, J. M., “Tool Procurement Planning for Wafer Fabrication Facilities: A
    Scenario-Based Approach”, IIE Transactions, 34, pp.145-155, 2002.
    80. Schutz, P., Tomasgard, A. and Ahmed S., “Supply Chain Design under Uncertainty
    Using Sample Average Approximation and Dual Decomposition”, European
    Journal of Operational Research, 199, p.409-419, 2009.
    81. Sahinidis, N. V., “Optimization under Uncertainty: State-of-the-Art and
    Opportunities”, Computers and Chemical Engineering, 28, 971-983, 2004.
    82. Smith, J. E., “Moment Methods for Decision Analysis”, Management Science,
    vol.39, no.3, pp.340-358, 1993
    83. Wagner, J. M. and Berman, O., “Models for Planning Capacity Expansion of
    Convenience Stores under Uncertain Demand and the Value of Information”,
    Annals of Operations Research, 59, pp.19-44, 1995.
    84. Wang, K. J. and Lin, S. H, “Capacity Expansion and Allocation for a
    Semiconductor Testing Facility under Constrained Budget”, Production Planning &
    Control, 13（5）, pp.429-437, 2002.
    85. Wang, K. J. and Hou T. C, “Modeling 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, 41
    （14）, pp.3217-3235, 2003.
    86. Wang, S. M., Chen, J. C and Wang, K. J., “Resource Portfolio Planning of
    Make-To-Stock Products Using a Constraint Programming–Based Genetic
    Algorithm”, Omega, 35, pp.237-246, 2007.
    87. 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, 179, pp.390-403, 2007.
    88. Wang, K. J., Wang, S. M. and Chen, J. C., “A Resource Portfolio Planning Model
    Using Sampling-Based Stochastic Programming and Genetic Algorithm”, European
    Journal of Operational Research, 184, pp.327-340, 2008.
    89. Wu, S. D., Erkoc, M. and Kararbuk, S., “Managing Capacity in the High-tech
    Industry: A Review Literature“, The Engineering Economist, 50, pp.125-158,
    111
    2005.
    90. Wu, M. C., Hsiung, Y. and Hsu, H. M., “A Tool Planning Approach Considering
    Cycle Time Constraints and Demand Uncertainty”, International Journal of
    Advanced Manufacturing Technology, 26, pp.565-571, 2005.
    91. Wagner, J.M. and Berman, O., “Models for Planning Capacity Expansion of
    Convenience Stores under Uncertain Demand and the Value of Information”,
    Operations Research, 59, pp.19-44, 1995
    92. Yilmaz, P. and Catay, B., “Strategic Level Three-stage Production Distribution
    Planning with Capacity Expansion”, Computer & Industrial Engineering, 51,
    pp.609-620, 2006.
    93. Zenios, S. A., “Practical Financial Optimization: Decision Making for Financial
    Engineers”, 2005.

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