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研究生：	呂學信 Lu, Hsueh-Hsin
論文名稱：	基於多目標決策與可變空間理論之液晶顯示器工廠產能與利潤最大化 The MODM and Changeable Space Theories Based Capacity Reconfiguration for Improving Capacity and Profit of LCD Fabs Toward Aspired Levels
指導教授：	黃啟祐 Huang, Chi-Yo
學位類別：	碩士 Master
系所名稱：	工業教育學系 Department of Industrial Education
論文出版年：	2016
畢業學年度：	104
語文別：	英文
論文頁數：	80
中文關鍵詞：	中小尺寸面板廠、產能規劃、De Novo 規劃法、可變空間法
英文關鍵詞：	small and medium size TFT-LCD fab, capacity planning, De Novo Programming, Changeable Space
DOI URL：	https://doi.org/10.6345/NTNU202204232
論文種類：	學術論文
相關次數：	點閱：158 下載：0
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由於智慧型手持設備的快速演變及發展中小尺寸薄膜電晶體液晶顯示器（TFT-LCD）面板市場近年來成長迅速，市場佔有率已達全球薄膜電晶體液晶顯示器面板市場的25％。然而，需求與供給關係由於激烈競爭的，市場波動劇烈，因此，薄膜電晶體液晶顯示器面板市場的生產設施供應商與工廠配置需要有適合的評估機制以求生產效率及獲利最大化。
儘管有許多學者研究如何去選擇合適的中小尺寸面板供應廠商或優化面板工廠生產以求效率最佳，但，鮮有學者探討如何同步將中小尺寸面板廠的獲利以及產能最大化。而於中小尺寸面板研究中，更少有學者使用可變空間(Changeable Space) 中小尺寸面板廠設備配置進行重組，透過外部資源以解決工廠面臨到擴產、生產效率無法最佳化等問題。因此，本論文定義一基於多目標決策（MODM）之混合架構，解決前述問題。本研究將以混合多目標決策架構擴選擇面板設備，並導入基於多變空間理論之多目標決策（MODM）架構將設備配置最適化。本研究對中小尺寸的面板廠主要貢獻為幫助廠商重新思考如將以我國中小尺寸薄膜電晶體液晶顯示器工廠進行產能調配已達到生產效率最大化，以及獲利最大化。未來，本證研究結果將可作為中小尺寸薄膜電晶體面板工廠設備規劃之基礎。

The small and medium size thin film transistor liquid crystal display (TFT-LCD) panel market, which accounted for 25% of the worldwide TFT-LCD market, surged rapidly during the past years due to the fast evolution of the smart handheld devices. However, the demand versus supply relation fluctuated significantly due to the fierce competitions in the small and medium size TFT LCD market. The appropriate expansion of the facilities and optimal allocation of the manufacturing of the manufacturing facilities require an ideally evaluation mechanism. Further, how the production can be configured to be capacity maximization and profit maximization is the main contribution in this research. However, almost no scholars tried to introduce the theory of the changeable space for reconfiguring and appropriating the production capacity. Further, almost no scholars studied the above-mentioned issues for the small and medium TFT-LCD fabs. Hence, the author aims to define a multiple objective decision making (MODM) theories and methods based hybrid framework for resolving the problems. A changeable space theory based MODM framework consisting the De Novo programming technique will be introduced for appropriating and expanding the capacity of a TFT-LCD fab. The main contribution of this research is giving the small and medium size TFT-LCD Corporation’s new thinking when setting the strategies for expand the capacity. In the future, the proposed framework can be used for appropriating the production capacity of any plan, and the results can be used as the basis for appropriating the capacity of a TFT-LCD fab.

Table of Contents
摘要    i
Abstract    ii
Table of Contents    iii
List of Table    v
List of Figure    vi
Chapter 1 Introduction    1
1.1. Research Backgrounds    1
1.2. Research Motivations    2
1.3. Research Purposes and Limitations    4
1.4. Research Method and Framework    6
Chapter 2 Literature Review    9
2.1 Capacity Planning    9
2.2 Changeable and Reconfigurable Manufacturing    15
2.3 Changeable Space Programming and Decision Making    22
Chapter 3 Research Method    27
3.1 Multi-Objective Decision Making    27
3.2 Optimal System Design and De Novo Programming    33
3.3 Formulation of Final Testing Capacity Planning Optimization    35
3.4 Changeable Space Programming Formulation    36
Chapter 4 Empirical Study    43
4.1 Solving De Novo Programming    43
4.2 MOP with Changeable Parameters    58
Chapter 5 Discussion    67
5.1 Managerial Implications    71
5.2 Difference between De Novo Programming and Changeable Space    72
Chapter 6 Conclusion    75
References    77








List of Table
Table 3-1 A payoff table of STEM    30
Table 4-1 The total product portfolio and product production limitation     45
Table 4-2 The STEM payoff table of      50
Table 4-3 The STEM payoff table of      51











List of Figure
Figure 1-1. Global mobile shipments by type, 2008-2018...................................2
Figure 1-2. TFT-LCD manufacturing process    5
Figure 1-3. Research Framework.    7
Figure 2-1. Steps to define change objects.    17
Figure 3-1. A taxonomy of methods for the MODM.    29
Figure 3-2. The feasible options using (a) linear programming and (b) De Novo programming.    34
Figure 3-3. Trade-offs elimination from a given system.    39
Figure 3-4. Aspiration level based on the best improvement rules among inter-relationship    42
Figure 4-1. Basic concept of the desired point.    57
Figure 5-1. Capacity and profit ideal point.    69
Figure 5-2. Changeable spaces for achieving the desired point.    70
Figure 5-3. The relationship between the models.    72
                                

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