以資料包絡分析法探討台電公司發電部門經營績效之研究
| Autor: | 羅正華 |
|---|---|
| Rok vydání: | 2001 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 89 Recently, due to our country economics grow up fast result in the demand of the power usage rapidly increasing. And adding the factors of political environment open up、diversity of society and people’s environmental consciousness raising make the power developing is more difficult. These factors are causing the electric power’s imbalance of the supply and demand is more severity. However, electric power is the mother of the industry and the momentum of the economic development, is also the important element of the human’s modern life. Therefore, if one country lacks the electric power or power supply is unstable in the long run, the industry will be not easily to develop and people also need to tolerate the bitterness of the power limit. This will cause the great damage to people、society and country. Now Taipower company faces the electrical source is difficult to develop, and adding the impact of the privatization and liberalization in the future. Therefore, how to allocate Taipower company’s existing employees and resource in the future’s competitive environment, and enhancing capability of the generation and quality of the electric power are now the most important object for Taipower company. So my study applies data envelopment analysis to performance analysis of the Taipower Company’s power generation department. I hope to provide the Taipower Company’s power generation department with the objective and practical suggestions about its operations. About methodology, my study apply DEA analysis to measure 1991~1999 the input and output’s data of the power generation department. To evaluate the efficiency of hydro、thermal and nuclear power generation departments. Slack variables analysis provides the each power plant with the recommendations of resources allocation. Sensitivity analysis provides the each power plant with the key input factor, and this will be the important considerable factor about improving the efficiency in the future. About DEA analysis’ results, first is about the hydropower generation department, Daguan first plant and Guguan plant have relatively better performance in overall technical efficiency；Daguang first plant、Jugong plant、Qingshan plant、Guguan plant and Tianlun plant have relatively better performance in pure technical efficiency；Daguan first plant and Guguan plant have relatively better performance in scale efficiency；the number of employees is the key input factor in hydropower generation department from sensitivity analysis. Secondly, it’s about thermal power generation department, Taichung plant has relatively better performance in overall technical efficiency；Shenao plant、Taichung plant and Xiehe plant have relatively better performance in pure technical efficiency；Taichung plant has relatively better performance in scale efficiency；the installed nameplate capacity is the key input factor in thermal power generation department from sensitivity analysis. Finally, it’s about nuclear power generation department, nuclear third plant has relatively better performance in overall technical efficiency；nuclear first plant and nuclear third plant have relatively better performance in pure technical efficiency；nuclear third plant has relatively better performance in scale efficiency；the installed nameplate capacity is the key input factor in nuclear power generation department from sensitivity analysis. About the research contribution, my study use objective data to analyze so that this can provide the power generation departments with the directions of improvement about operational efficiency. These will help Taipower Company under the limited resources of power generation to do the best resources planning. In addition, they also can help Taipower Company to enhance ability of power generation and more stable quality of power generation. So, we can get the stable and high quality power supply under the demand of electric power increasing today and stabilizing our country’s economic development. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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