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系統識別號 U0002-3006201415041600
中文論文名稱 混和灰關聯及DEA模式進行面板產業績效分析與評估
英文論文名稱 TFT-LCD Industry Performance Analysis and Evaluation using GRA and DEA Models
校院名稱 淡江大學
系所名稱(中) 管理科學學系碩士班
系所名稱(英) Master’s Program, Department of Management Sciences
學年度 102
學期 2
出版年 103
研究生中文姓名 詹毓珊
研究生英文姓名 Yu-Shan Chan
學號 601620510
學位類別 碩士
語文別 英文
口試日期 2014-06-24
論文頁數 45頁
口試委員 指導教授-曹銳勤
委員-傅敬群
委員-莊忠柱
中文關鍵字 薄膜電晶體液晶顯示器  資料包絡分析  Malmquist生產力指數  灰關聯分析 
英文關鍵字 TFT-LCD  DEA  Malmquist  Grey relational analysis 
學科別分類
中文摘要 台灣政府於2002年提出兩兆雙星計畫,以規劃兩兆預期產值的半導體產業及影像顯示產業,而影像顯示產業中又以薄膜電晶體液晶顯示器 (TFT-LCD)可說是台灣極具影響力的產業。本研究以台灣六家TFT-LCD廠商作為研究對象,採用2009-2012年的資料,應用資料包絡分析法(Data Envelopment Analysis, DEA)評估產業績效與經營效率,透過文獻分析萃取出投入項目:固定資產、營業費用、研發費用與員工人數;以及產出項目:現金流量和稅前淨利。並以Malmquist生產力指數做跨年度之經營效率分析,期建立一套經營效率評量的客觀架構。最後透過灰關聯分析及Entropy權重分析,建立台灣TFT-LCD產業排名。本研究結果可作為台灣TFT-LCD產業分析自身經營效率優劣的影響因素,並從而進一步改善之建議。
英文摘要 In 2002, Taiwan government proposed Two Trillion and Twin Star Development Program for the development of semiconductor and image display industries. In the image display industry, the thin film transistor liquid crystal display (TFT-LCD) is the most important topic to effect the development of Taiwan’s economy. Therefore, in this study, we focus on this industry and investigate the six important companies using 2009-2012 data, and then we use DEA model to evaluate industry performance and operational efficiency. By the literature review, we extract the input variables, including fixed assets, operating expenses, R&D expenses and number of employees; and the output variables, including cash flow and net sales. Next, we use Malmquist productivity index to analyze the operating efficiency which is across of four years and establish an objective of operating efficiency assessment framework. Finally, we use grey relation analysis to investigate the rank between the chosen companies, and then we use entropy to decide the weight of the evaluated criteria. The analysis results can be provided for the information of further improvement to the TFT-LCD industry.
論文目次 Contents I
List of Tables III
List of Figures V
Chapter1 Introduction 1
1.1 Research background and motives 1
1.2 Research purposes and objectives 3
1.3 Research framework 4
Chapter2 Literature Review 5
2.1 Data envelopment analysis 5
2.1.1 Literature review about DEA 5
2.2 Literature review about grey relation analysis 10
Chapter 3 Methodology 12
3.1 Data envelopment analysis (DEA) 12
3.1.1 CCR model 13
3.1.2 BCC model 15
3.2 Malmquist productivity index (MPI) 16
3.3 Grey relational analysis (GRA) 17
3.4 Entropy method 20
Chapter 4 Research Results 22
4.1 Collect the data of TFT-LCD companies 22
4.2 Data envelopment analysis 24
4.3 Malmquist productivity index 28
4.4 Grey relational analysis 33
Chapter 5 Conclusion 40
References 42

List of Tables
Table 2-1 Inputs and outputs list of literature 9
Table 4-1 Raw data of the TFT-LCD Industry in 2009 23
Table 4-2 Raw data of the TFT-LCD Industry in 2010 23
Table 4-3 Raw data of the TFT-LCD Industry in 2011 23
Table 4-4 Raw data of the TFT-LCD Industry in 2012 24
Table 4-5 Input and output variables correlation coefficient in 2009-2012 25
Table 4-6 Efficiencies of the TFT-LCD Industry in 2009 26
Table 4-7 Efficiencies of the TFT-LCD Industry in 2010 26
Table 4-8 Efficiencies of the TFT-LCD Industry in 2011 27
Table 4-9 Efficiencies of the TFT-LCD Industry in 2012 28
Table 4-10 The annual efficiency change results of TFT-LCD industry 29
Table 4-11 The efficiency change results of E Ink 31
Table 4-12 The efficiency change results of AUO 31
Table 4-13 The efficiency change results of Giantplus 32
Table 4-14 The efficiency change results of Hannstar 32
Table 4-15 The efficiency change results of Ampire 33
Table 4-16 The efficiency change results of Innolux 33
Table 4-17 Raw data after the data processing in 2009 34
Table 4-18 Reference sequence and inspected sequence in 2009 35
Table 4-19 Results of grey relational generating in 2009 35
Table 4-20 Results of grey relational distance in 2009 36
Table 4-21 Results of grey relational coefficient for TFT-LCD industry in 2009 36
Table 4-22 Results of grey relational analysis for TFT-LCD industry 37
Table 4-23 Results of entropy weight of each factor 38
Table 4-24 Results of grey relational coefficient with entropy weight in 2009 38
Table 4-25 Results of grey relational analysis with entropy weight for TFT-LCD industry 39
Table 4-26 Average grey relational grade with entropy weight of TFT-LCD industry 39

List of Figures
Figure 1-1 The Taiwanese flat panel display industry output value 3
Figure 3-1 The process of grey relational analysis 19
Figure 4-1 The annual efficiency change results of TFT-LCD industry 30



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