跳到主要內容

臺灣博碩士論文加值系統

(3.87.33.97) 您好!臺灣時間:2022/01/27 15:48
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

我願授權國圖
: 
twitterline
研究生:徐宗琦
研究生(外文):Tsung-Chi Hsu
論文名稱:能源大用戶能源使用績效之評估---資料包絡分析法之應用
論文名稱(外文):The Evaluation of the Energy Utilization Performance of EnergyUsers ---The Application of Data Envelopment Analysis
指導教授:曾國雄曾國雄引用關係
指導教授(外文):Gwo-Hshiung Tzeng
學位類別:碩士
校院名稱:國立交通大學
系所名稱:科技管理學程碩士班
學門:商業及管理學門
學類:其他商業及管理學類
論文種類:學術論文
論文出版年:2002
畢業學年度:90
語文別:中文
論文頁數:106
中文關鍵詞:資料包絡分析方法能源大用戶績效評估決策單位
外文關鍵詞:Data Envelopment AnalysisEnergy UsersPerformance EvaluationDecision-Making Unit
相關次數:
  • 被引用被引用:10
  • 點閱點閱:743
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:5
我國能源96%仰賴進口,因此,能源供應與需求是政府重要能源政策。為使經濟持續發展,及降低全球溫室氣體減量產生的衝擊,節約能源是能源政策重要第一環,其中實施百大能源查核為節約能源重要工作之一,其主要目的為協助能源大用戶提高能源使用效率。
本論文之目的,主要在應用資料包絡分析方法(Data Envelopment Analysis),以能源節約量及產量為產出資源要素,以能源投入量及節約能源改善支出為投入之資源要素,並以經產業別分類之百大能源大用戶,評估其能源使用績效,作為執行能源大用戶實地能源查核輔導優先順序之參考。
經由DEA實證分析找出可作為其他百大能源用戶學習及示範之能源大用戶一般煉鋼廠有E4299-89、E7132-88、E4299-88、E6036-88;水泥業有E1249-89、E1607-88;化纖業有E4308-89、E1310-89;造紙業有E4102-89、E1619-88、E1020-89。應優先進行能源查核輔導之一般煉鋼廠有E6230-88、E2576-89、E7132-89;水泥業有E0915-88、E0369-88;化纖業有E0936-88、E7197-89;造紙業有E1020-88、E3282-88、E2317-88。
最後,經實證可藉由此DEA分析模式應用於全體能源大用戶的能源使用績效之評估工作,以有效率地找出進行實地能源查核輔導之優先順序。
Because 96% of energy consumption is imported from other country, the energy supply and demand become important energy policy issues in Taiwan. For continuously sustain economic development and decrease the impact of global warming issues, energy conservation become one of the important energy policies in Taiwan. One of the important projects among energy conservation is execute energy audit of Top-100 energy users. The main purpose of energy audit is assistant energy users to promote energy utilization efficiency.
In the thesis, Data Envelopment Analysis (DEA) is applied to evaluate the energy utilization performance of energy users. In this DEA model, outputs are production and energy savings of energy user, and inputs are energy consumption and expenditure of energy savings project of energy user. Four major industries of Top-100 energy users are evaluated in this model separately, and the results will become the reference for energy audit team to execute energy audit of Top-100 energy users.
In DEA verified analysis, we have found four Decision Making Units (DMU’s) in steel industry, two DMU’s in cement industry, two DMU’s in man-made fiber industry, and three DMU’s in pulps and paper industry are classified as the robustly efficient units. The robustly efficient unit will become an object of study by other energy users. Also, we have found three DMU’s in steel industry, two DMU’s in cement industry, two DMU’s in man-made fiber industry, three DMU’s in pulps and paper industry are classified as the marginally inefficient units. The marginally inefficient unit will become the first priority for energy audit team to execute energy audit of Top-100 energy users.
Finally, the verified DEA model can assist the energy audit team to evaluate the energy utilization performance of all energy users and to find the priority to execute energy audit efficiently.
中文摘要 ……………………………………………………………………………..i
英文摘要 ……………………………………………………….…………ii
誌謝 …………………………………………………………………iv
目錄 ………………………………………………………………….v
表目錄 ………………………………………………………………..viii
圖目錄 ………………………………………………………………….x
一、 緒論
1.1 研究動機與目的 1
1.2 研究範圍與方法 3
1.3 研究內容與流程 4
二、 文獻回顧
2.1 績效指標之定義 6
2.2 績效評估之方法及相關研究 7
2.3 節約能源績效之相關研究 8
2.3.1 能源效率的概念與定義 8
2.3.2 能源效率指標的發展現況 11
2.4 資料包絡分析相關之績效評估研究 16
三、 資料包絡分析法之理論
3.1 理論背景 19
3.2 分析模式之應用 21
3.2.1 CCR模式 24
3.2.2 BCC模式 27
3.2.3 Andersen & Petersen模式(A&P) 30
3.2.4 Doyle and Green模式(D&G模式) 31
3.2.5 多目標模式 32
3.3 模式特性及應用 37
3.4 模式的限制 38
四、主要行業能源使用概況與分析
4.1 鋼鐵業 39
4.1.1 行業概況 39
4.1.2 能源使用及影響分析 39
4.1.3 主要設備能源使用分析 40
4.1.4 百大實地能源查核成效 41
4.1.5 節能成效 42
4.2 化工業 43
4.2.1 行業概況 43
4.2.2 化工業能源使用趨勢分析 43
4.2.3 百大實地能源查核成效 45
4.2.4 節能成效 45
4.3 紡織業 45
4.3.1 行業概況 45
4.3.2 產能利用率 45
4.3.3 能源使用趨勢分析 47
4.3.4 主要製程與能源使用分析 47
4.3.5 百大實地能源查核成效 48
4.3.6 節能成效 49
4.4 水泥業 49
4.4.1 行業概況 49
4.4.2 能源使用趨勢分析 49
4.4.3 單位產品能源使用分析 50
4.4.4 百大實地查核成效 50
4.4.5 產能利用率及節能成效 50
4.5 造紙業 51
4.5.1 行業概況 51
4.5.2 行業能源使用分析 52
4.5.3 主要公用及製程設備能源使用分析 53
4.5.4 單位產品能源使用分析 53
4.5.5 百大實地查核成效 54
4.5.6 能源平衡分析 54
4.5.7 節能成效 55
4.6 建議及檢討 55
4.6.1 鋼鐵業 55
4.6.2 化工業 55
4.6.3 紡織業 56
4.6.4 水泥業 56
4.6.5 造紙業 56
五、模式實證分析
5.1 鋼鐵業 57
5.1.1 一貫作業煉鋼廠 57
5.1.2 一般煉鋼廠 68
5.2 水泥業 75
5.3 化纖業 83
5.4 造紙業 91
5.5 綜合檢討分析 99
六、結論與建議
6.1 結論 100
6.2 建議 101
七、參考文獻
1.尹禮分、中山弘隆、谷野哲三(1999),「包絡分析法(DEA)一般化」,計測自動制御學會論文集,第35卷,第8期, 頁1113-1118。
2.司徒達賢、李仁方(1993),「企業概論」,空中大學。
3.江勁毅、曾國雄(2000),「新的DEA效率衡量方式:以模糊多目標規劃建立之效率達成度」,管理學報,第17卷,第2期,頁369-388。
4.余朝權(1984),「企業生產力衡量與分析之研究」,政治大學企業管理研究所博士論文。
5.李長安(1995),「台灣省公路監理站(所)相對生產效率衡量之研究-DEA之應用」,中山大學公共事務管理研究所碩士論文。
6.黃旭男(1993),「資料包絡分析法使用程序之研究及其在非營利組織效率評估上之應用」,交通大學博士論文。
7.陳永志、袁建中(2001),「使用資料包絡分析評估我國資訊服務業之經營效率」,交通大學科技管理研究所碩士論文。
8.陳澄隆,曾國雄(2000),「國內定期航運公司營運績效之研究-應用資料包絡分析法」,交通大學交通運輸研究所碩士論文。
9.乾口雅弘、谷野哲三(1999),「入出力-可能性DEA」,日本Fuzzy學會誌,第11卷, 第3期, 頁472-481。
10.蕭輝煌(2000),「中鋼汽電共生系統之燃料與電力經濟調度」,技術與訓練,第25卷,第1期。
11.蕭輝煌(2001),「中鋼能源系統與管理概述」,中鋼公司。
12.龔良智(1999),「DEA模型應用於台電配電技術部門績效評估之研究」,交通大學經營管理研究所碩士論文。
13.「台灣區造紙工業同業公會產銷統計月報」,89年12月。
14.「能源查核管理與輔導調查報告」,經濟部能源委員會,90年12月。
15.「經濟部工業生產統計月報」,90年4月。
16.Ahern, J. E. (1980), “The Exergy Method of Energy System Analysis,”John Wiley, New York.
17.Ali A.L., Cook, W. D. and Seiford, L. M. (1991), “Strict vs. Weak Ordinal Relations for Multipliers in Data Envelopment Analysis,” Management Sciences, 37(6), 733-738.
18.Banker, R. D., Charnes, A. and Cooper, W. W. (1984),“Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis,” Management Science, 30(9), 1078-1092.
19.Banker, R. D. and Morey, R. C. (1986),“The Use of Categorical Variables in Data Envelopment Analysis,”Management Science, 32(12), 1613-1627.
20.Banker, R. D., Conrad, R. F. and Strauss, R. P. (1986),“A Comparative Application of DEA and Translog Methods: An Illustrative Study of Hospital Production,”Management Science, 32(1), 30-44.
21.Banker, R. D. and Thrall, R. M. (1992), “Estimation of Returns to Scale Using Data Envelopment Analysis,”European Journal of Operational Research, 62(1), 74-84.
22.Berndt, E. R (1978),“Aggregate energy, efficiency and productivity measurement,”Annual Review of Energy, 3(1), 225-249.
23.Bosseloeuf, D., Chateau, B. and Lapillonne, B. (1997), “Cross-country comparison on energy efficiency indicators: the on-going European effort towards a common methodology,” Energy Policy, 25(7-9), 676.
24.Bossebeuf, D. and Moisan, F. (1999), “Energy Efficiency Indicators: the European Experience: application to Industry,” APERC Workshop on Energy, Tokyo.
25.Boussofiane, A., Dyson, R. G. and Thanassoulis, E. (1991), “Applied Data Envelopment Analysis,”European Journal of Operational Research, 52(1), 1-15.
26.Bullard, C. W. and Herendeen, R. A. (1975), “The energy cost of goods and services: an input-output analysis for the USA 1963 and 1967,”Energy Policy, 3(4), 268-278.
27.Chang, K. P. and Guh, Y. Y. (1991), “Linear Production Function and the Data Envelopment Analysis,”European Journal of Operational Research, 52(1), 215-223.
28.Charnes, A., Clark, T., Cooper, W. W. and Golany, B. (1985), “A Developmental Study of Data Envelopment Analysis in Measuring the Efficiency of Maintenance Units in the U.S. Air Forces,” Annals of Operation Research, 2(1), 95-112.
29.Charnes, A. and Cooper, W. W. (1984), “The Non-Archimedean CCR Ratio for Efficiency Analysis:A Rejoinder Boyd and Fare,” European Journal of Operational Research, 15(3), 333-334.
30.Charnes, A., Cooper, W. W., Lewin, A. Y., Morey, R. C. and Rousseau, J. (1985), “Sensitivity and Stability Analysis in DEA” Annals of Operation Research, 2(2), 139-156.
31.Charnes, A., Cooper, W. W. and Rhodes, E. (1978),“Measuring the Efficiency of Decision Making Units,”European Journal of Operational Research, 2(1), 429-444.
32.Charnes, A., Cooper, W. W., Seiford, L. M. and Stutz, J. (1983), “Invariant Multiplicative Efficiency and Piecewise Cobb-Douglas Envelopments,” Operations Research Letters, 2(3), 101-103.
33. Cooper, W. W., Kyung Sam Park and Gang Yu (1999),“IDEA and AR-IDEA: Models for Dealing with Imprecise Data in DEA,”Management Science, 45(4), 597-607.
34.Dyson, R. G. and Thanssoulis, E. (1988), “Reducing Weight Flexibility in Data Envelopment Analysis,”Journal of the Operational Research Society, 39(6), 563-576.
35.Farrell, M. J. (1957), “The Measurement of Productive Efficiency,” Journal of the Royal Statistical Society, Series A, General, 120(3), 253-281.
36.FÆrsund, Finn R. (1992), “A Comparison of Parametric and Non-Parametric Efficiency Measures: The Case of Norwegian Ferries,”The Journal of Productivity Analysis, 3(1), 25-43.
37.Groscurth, H.M., Kümmel, R. and van Gool, W. (1989), “Thermodynamic limits to energy optimization,”Energy: The International Journal, 14(2), 241-258.
38.Gyftoponlos (1974), “Potential Fuel Effectiveness in Industry: A Report to the Ford Foundation Energy Policy Project,” Balliger Publishing Company, San Francisco.
39.Hines, R. D. (1982),“The Usefulness of Annual Reports: The Anomaly Between the Efficient Markets Hypothesis and Share Holder Surveys,” Accounting and Business Research, 12(4), 296-309.
40.Horsley, M. (1993), “Engineering Thermodynamics,”Champman and Hall, London.
41.Jenne, C. A. and Cattell, R. K. (1983),“Structural change and energy efficiency in industry,”Energy Economics, 5(2), 114-123.
42.John Doyle (1992), “MCC: Multiple Correlation Clustering”International Journal of Man-Machine Studies, 37(6), 751-765.
43.John Doyle and Rodney Green (1994),“Efficiency and Cross-efficiency in DEA: Derivations, Meanings and Uses,”Journal of the Operational Research Society, 45(5), 567-578.
44. Knox Lovell, C.A. and Jesus, T. Pastor (1999),“Radial DEA Models without Inputs or Outputs,”European Journal of Operational Research, 118(1), 46-51.
45.Lee, E. S. and Li, R. J. (1993),“Fuzzy Multiple Objective Programming and Compromise Programming with Pareto Optimum,”Fuzzy Sets and Systems, 53(3), 275-288.
46.Leonard Fortuin (1988), “Performance Indicators- Why, Where and How?” European Journal of Operational Research, 34(1), 1-9.
47.Li, Xiao-Bai and Reeves, Gary R. (1999),“A Multiple Criteria Approach to Data Envelopment Analysis,”European Journal of Operational Research, 115(3), 507-517.
48.Liu (1992), “Interfuel substitution and decomposition of changes in industrial energy consumption,”Energy: The International Journal, 17(7), 689-696.
49.Ohta, H. and Yamaguchi, T. (1995),“Multi-goal Programming Including Fractional Goal in Consideration of Fuzzy Solutions,”Journal of Japan Society for Fuzzy Theory and System, 7(10), 1221-1228.
50.Patterson, M. G. (1989), “Energy, Productivity and Economic Growth: An Analysis of New Zealand and Overseas Trends Ministry of Energy,”Wellington.
51.Patterson, M.G. (1996), “What is Energy Efficiency? Concepts, Indicators and Methodological Issues,” Energy Policy, 24(5), 377-390.
52.Per Andersen and Niels Christian Petersen (1993),“A Procedure for Ranking Efficient Units in Data Envelopment Analysis,”Management Science, 39(10), 1261-1264.
53.Renshaw, E. F. (1981), “Energy efficiency and the slump in labor productivity in the USA,”Energy Economics, 3(1), 36-42.
54.Sakawa, M. and Yano, H. (1985),“Interactive Decision Making for Multi-Objective Linear Fractional Programming Problems with Parameters,” Cybernetics and Systems: An International Journal, 16(4), 377-394.
55.Sakawa, M., and Yumine, T. (1983),“Interactive Fuzzy Decision-making for Multi-objective Linear Fractional Programming Problems,”Large Scale Systems, 5(1), 105-114.
56.Schippen, L., Unander, F. and Marie, C. (1998), “The IEA Energy Indicators Effort: Extension to Carbon Emission as a Tool of the COP,” IEA.
57.Schurr, S. H. (1984), “Energy use, technological change and productive efficiency: an economic-historical interpretation,”Annual Review of Energy, 9(1), 409-451.
58.Sioshansi, F. (1986), “Energy, electricity and the US economy: emerging trends,”The Energy Journal, 7(4), 81-89.
59.Sussman, M. V. (1977),“Availability analysis,”Energy Use Management: Proceedings of the International Conference, Pergamon Press, New York.
60.Thompson, R. G., Langemeier, L. N., Lee, C. T. and Thrall, R. M. (1990), “The Role of Multiplier Bounds in Efficiency Analysis with Application to Kansas Farming,”Journal of Econometrics, 46(1), 93-108.
61.Toshiyuki Sueyoshi (1997),“Measuring Efficiencies and Returns to Scale of Nippon Telegraph and Telephone in Production and Cost Analyses,”Management Science, 43(6), 779-796.
62.Toshiyuki Sueyoshi (1999),“DEA-discriminant Analysis in the View of Goal Programming,”European Journal of Operational Research, 115(3), 564-582.
63.Turvery, R. and Norly, A. R. (1965), “On measuring energy consumption,”Economic Journal, 75(4), 787-793.
64.Wilson (1994),“Energy efficiency trends in Australia,”Energy Policy, 22(4), 287-295.
65.Zimmermann, H. J. (1978),“Fuzzy Programming and Linear Programming with Several Objective Functions,”Fuzzy Sets and Systems, 1(1), 45-55
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top