An Application of DEA and Malmquist Productivity Index to the Operational Performance of Public Power Plants in Taiwan

• Main Authors: Ming-Jong Lu, 呂明鐘
• Other Authors: Hsuan-Shih Lee, Ph.D
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/29927184094408669005

碩士 === 國立臺灣海洋大學 === 航運管理學系 === 96 === Because of the lack of reserved natural resource, 98% energy of our country needs to depend on importing from the world. Recently, there are many debates that severely and directly impact our economic progress including internal trend of tremendously expensive price for energy, and the effect of Kyoto Protocol that diminisher the production of greenhouse air…etc. Nowadays, the development of transforming the government business into a private enterprise seemingly stagnates; on the other hand, the well-developed efficient private power plant can be an eligible competitor against the publicly-operated power plant when the restriction on the private power plant is released and the private power plants joint. Therefore, how to well and effectively deploy the human resource and other resource is a challenging task for publicly-operated power plant to deal with in the future competition; moreover, the publicly-operated power plant must build up the positively concept and aggressive attitude to confront and overcome the competitive situation. This thesis implements the Data Envelopment Analysis (DEA). It adopts operation cost and maintenance cost as economic input variables, and availability factor as quality output variable with the purpose of measuring the operation performance for public power Plant. Furthermore, the thesis proposes the analysis outcome to give an explanation of corrective actions for each department in power plant. The key importance of analysis contains four parts: (1)evaluate Overall Technical Efficiency of each Power Plant, Pure Technical Efficiency, and Scale Efficiency. (2)apply Slack variables analysis to confer the usage status and the possible adjustment’s aspect and rang for yearly implementing resources within public Power Plant. (3)based on a sequence of performance measurement, figure out the particular Power Plant’s performance in order to discuss the factors why the Power Plant has an immense difference, the factors can be references or regulations for the Power Plant and others to improve and progress. The project data shows as following: 1. Within these five Power Plants (S1、S3、C3、N1、N3), the value of relative efficiency is greater than 0.9 and the value of efficiency variation is greater than 1.0 as well. The data shows that these plants are good quality and have excellent efficiency because the plants progress rapidly and maintain good operation performance. 2. Within these four Power Plants (S4、S5、C2、N2), the value of relative efficiency is greater than 0.9 but the value of efficiency variation is between 0.6 and 1.0. These Power Plants have good operation performance but progress slowly; in order to obtain the advantage continuously, the departments have to make great improvement. 3. For the Power Plant C1, the value of relative efficiency is between 0.6 and 0.9, and then the value of efficiency variation is greater than 1.0. The data shows that the Plant gradually improves its competing capability since its operation performance is in normal status but it progresses rapidly. 4. For the Power Plant S2, the value of relative efficiency is between 0.6 and 0.9, in addition the value of efficiency variation is between 0.6 and 0.9. Moreover, the operation performance is normal and efficiency variation slightly declines. 5. For the Power Plant S6, the value of relative efficiency is less than 0.6, besides the value of efficiency variation is between 0.6 and 0.9. The operation performance of the plant obviously lags behind others and efficiency variation slightly declines as well.