研究生: |
駱豐裕 Feng-Yu Lo |
---|---|
論文名稱: |
DEA方法應用在評估台電公司服務所經營效率之研究 A DEA Study to Evaluate the Relative Efficiency of Service Centers of the Taiwan Power Company |
指導教授: |
簡禎富博士
Dr. Chen-Fu Chien 林則孟博士 Dr. James T. Lin |
口試委員: | |
學位類別: |
博士 Doctor |
系所名稱: |
工學院 - 工業工程與工程管理學系 Department of Industrial Engineering and Engineering Management |
論文出版年: | 2004 |
畢業學年度: | 92 |
語文別: | 中文 |
論文頁數: | 106 |
中文關鍵詞: | 資料包絡分析 、台電公司 、相對效率 、效能 、組織重整 |
外文關鍵詞: | Data envelopment analysis (DEA), Taiwan Power Company (TPC), relative efficiency, effectiveness, reorganization |
相關次數: | 點閱:1 下載:0 |
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本論文主要目的是應用資料包絡分析(Data Envelopment Analysis, DEA)方法來評估台電公司配售電系統下區營業處及服務所之相對經營效率。績效衡量是許多企業組織最重要的課題之一。在台灣,台電公司未來將要面對電業自由化及民營化政策的挑戰與衝擊。台電公司實施責任中心制度,利用不同的績效指標來衡量各責任中心的績效,以達到提高台電公司的經營績效。
然而,在實施責任中心制度之下,台電公司管理階層大多著重在衡量各責任中心的「效能」,而較少評估其「效率」;另外,台電公司亦沒有採用決策分析方法來評估各責任中心之經營效率。DEA是一種線性規劃方法,可以同時考慮多項投入及多項產出來衡量被評估的單位。尤其,DEA方法不須事先決定投入項及產出項之權重,乃是相當客觀且公平性的分析工具,實務上經常應用DEA方法在評估公營或民營企業之相對效率。因此,本論文係以台電公司區營業處及服務所作為主要的研究對象,經過效率評估分析後,提出二個實例應用的研究成果。
首先,在評估台電公司區營業處之經營效率方面,台電公司22個區營業處整體的經營效率水準相當良好。另外,基於DEA效率分析結果及理論上的觀點,本研究亦嘗試探討區營業處組織重整之可行性,以改善其整體的經營效率。其次,在評估台電公司服務所之經營效率方面,本研究亦應用DEA方法來評估新竹、台南及南投區營業處服務所之相對經營效率。這三個區營業處服務所整體的經營效率均偏低,且尚有很大的改善空間。本研究對那些相對無效率的服務所提供效率改善的方向。另外,由DEA效率分析的結果,本研究也探討南投區營業處服務所組織重整之可行性,以改善其整體的經營效率。整體而言,本研究提出二個可行的組織重整方案均可以獲得較佳的效率值。
在論文中,本研究的二個實例應用成果及建議,希望能夠提供台電公司決策者一些有用的資訊,可以作為未來的經營管理之參考。
The main goal of this thesis is that data envelopment analysis (DEA) models were applied to evaluate the relative efficiency of electricity distribution districts and service centers of distribution and sale system of Taiwan Power Company (TPC). Efficiency measurement is one of the most important issues for many enterprises. In Taiwan, TPC will face some challenges and pressures of privatization policy and liberalization of power industry. The Responsibility Center System was applied to measure some performance of responsibility centers with many various indices in order to increase operation performance of TPC.
However, based on the implementation of the system, TPC management had paid more attention to evaluate effectiveness of every responsibility center, rather than focusing on evaluating efficiency of them. In addition, TPC didn’t use some approaches of decision-making analysis in order to evaluate operation efficiency of every responsibility center. The DEA is a linear programming method that can consider many inputs and outputs simultaneously to measure the relative efficiency of evaluated entities. In particular, DEA approach doesn’t require the assignment of predetermined weights to input and output factors. DEA is very objective and fair tool, which has been applied to efficiency measurement of various entities in public and private sectors. Therefore, this thesis presents two DEA empirical studies to evaluate the efficiency of districts and service centers of TPC.
The first empirical study showed that the twenty-two districts have a good overall efficiency. Based on the results of DEA efficiency analysis and viewpoint of theoretical, this study also investigated some feasibility of the district reorganization in order to improve the efficiency. On the other hand, the second empirical study showed that DEA models were applied to evaluate the relative efficiency of service centers of Hsinchu, Tainan and Nantou districts of TPC. The three districts had low overall efficiency of their own service centers and needed to pay more attention on improving the efficiency. This study proposed some specific directions for the inefficient service centers to improve their efficiencies. In addition, this study also investigated some feasibility of service centers reorganization of Nantou district in order to improve the efficiency via the results of DEA efficiency analysis. Overall, the two DEA results showed that the proposed reorganization alternative could have better overall efficiency score.
In this thesis, some results and suggestions of two empirical studies may provide some useful information to decision-makers of TPC that have been gradually directed toward partial privation on the future.
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