| 研究生: |
蕭仲宏 Hsiao, Chung-Hung |
|---|---|
| 論文名稱: |
運用資料包絡分析法探討電力事業之經營效率-以台灣地區主要民營火力發電廠之比較為例 Applying Data Envelopment Analysis to Evaluate Efficiency for the Power Companies -A Case Study of the Comparison Among the Major thermal Independent Power Producers in Taiwan |
| 指導教授: |
張淑昭
Chang, Su-Chau |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 企業管理學系 Department of Business Administration |
| 論文出版年: | 2008 |
| 畢業學年度: | 96 |
| 語文別: | 中文 |
| 論文頁數: | 78 |
| 中文關鍵詞: | 資料包絡分析法 、經營效率 、組織績效 |
| 外文關鍵詞: | operation efficiency, organization performance, data envelopment analysis |
| 相關次數: | 點閱:89 下載:0 |
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近年來國際油價高漲,而對於電力事業而言,燃料費用占營業成本高達80%,因此石油價格上漲對於電力事業產生巨大的衝擊。如何提高營運效率,運用有限資源創造更大的產出,將成為日益重要的課題。此外,在減碳議題之下,新設火力電廠將面臨嚴格的環評。在新設電廠困難的環境下,提高現有電廠的營運效率,將成為增加電力供應的主要對策。
過去對台灣電力事業之經營績效研究,皆侷限於台電內部各營運單位之分析,而缺乏與電力業者間之比較;或將比較單位定義為發電機組,未融入足夠的企業營運及財務面的評估。有鑑於此,本研究搜集了台灣主要民營電廠(IPP)的資料,以個別公司為決策單位,採用資料包絡分析法來衡量民營電廠的經營效率,其中選用的投入項目有「裝置容量」、「運轉費用」、「燃料費用」、「薪資費用」;產出項目為「發電量」。希望能在公司格局之下,具體客觀的提供民營電廠在資源使用上的建議。
In recent years, the price of oil has increased dramatically. This has impacted electronic providers seriously since the cost of fuel amounts 80% of their total operation costs. Therefore, the task to increase the operation efficiency and produce the most power with limited resources has become more and more important. On the other hand, the issue of global environment has made it harder to build new power facilities nowadays. Therefore, to improve the present operation efficiency has become the main means to increase the power supply.
Many past researches were focused on internal analysis among Taiwan Power Company’s departments, but few efforts about the comparison among power providers have been made. And many other researches only focused on engineering area. To provide a wilder view when evaluating power providers’ operation efficiency, and to provide concrete operation recommendations, this research applied Data Envelopment Analysis to compare the efficiency among six major IPPs in Taiwan. In this research, “Installed nameplate capacity”, “Operation cost”, “Fuel cost”, and “Salary cost” are chosen as input items; while “Energy generation” is chosen as the output item.
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校內:2058-07-17公開