The achievements of operation in Taiwan Power Company, a state-run power supply enterprise, affect by the non-controllable factor such as energy policy and dispatcher factor and so on. The conclusion based on simplification for input and output because that these factors too complicated to concreted. This research uses data envelopment analysis (DEA) to evaluate relative efficiencies of power plants in Taiwan Power Company by involving variables of the capacity, manpower, the cost of operation and maintenance, net power output, through relevant documents. The slack variable analysis show that where these shortcomings are. This main conclusions of this study are summarized as follows: The empirical results indicate that the best average relative efficiency of 5 power plants are the TaiChung thermal power plant, 3rd nuclear power plant, 2nd nuclear power plant, 1st nuclear power plant and the Eastern hydropower plant. The worst 5 power plants are The Takuan hydropower plant, Mingtan hydropower plant, DaLin thermal power plant, Nan-Pu thermal power plant and the Jhuolan hydropower plant. The slack variable vnalysis show that there are the eight idle installed capacity, three idle personnel and seven over cost of operation and maintenance of the power plant to carry on the self-criticism. The good average relative efficiency power plant among seven hydropower plants are Mingtan; But the bad relative efficiency is Jhuolan power plant. Enhances management achievements of the hydropower plant department, should first have the four idle installed capacity, three idle personnel and two over cost of operation and maintenance of the power plant to carry on the self-criticism. By the three nuclear power plant for the analysis object knew its relative efficiency to be best by the 3rd site, the 2nd site is the worst. Enhances management achievements of the nuclear power plant, should first have the one idle personnel and two over cost of operation and maintenance of the power plant to carry on the self-criticism. For analyzing the object knowing relative efficiency by eight thermal power plants, the best is the Taichung power plant; but relative bad efficiency is the DaLin power plant. Enhances management achievements part the thermal power plant should first have the four idle installed capacity, four idle personnel and six over cost of operation and maintenance of the power plant to carry on the self-criticism. From four type of analyses, the technical efficiency is bigger than overall efficiency in Taipower company. Because the input efficiency over the output efficiency ratio is inadequate, therefore, we may promote overall efficiency by the way of the improvement of scale efficiency.

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Thesis (M.H.P.A.)--Washington State University, May 2010. / Title from PDF title page (viewed on July 12, 2010). "Department of Health Policy and Administration." Includes bibliographical references (p. 45-48).

Abstract Performance is not only the common goal for enterprises to achieve but also the direction for governments to administer. So is it for the financial organization. In this study, we focus on the economic point of view, accompanied by resource management. We evaluate the performance of 81 branch offices in The National Tax Administration on the data concerning personnel affairs (2000y), expenditure (2000y), business (2000y), and tax revenues (1997-2000) by means of Farrell¡¦s evaluation theory and Data Envelopment Analysis. Here are my conclusions: 1. Resource management 1.1 Overall efficiency in some of the offices is not good. That is because of the lacking of tax source, improper scale, and resource not appropriately allocated. Thus, input surplus and output shortage happen. 1.2 Inefficiency in the usage of resource is because the relative long-term optimal scale is too small, and the usage of resource is unable to reach Parto Optimality. 1.3 Inefficiency in the allocation of resource is because the internal management is not suitable, and the external environment and organization structure cause the problem. 2. Differences in efficiency 2.1 Offices of a large scale are more efficient than those of small ones. 2.2 Offices of large amount of work are more efficient than those of small ones. 2.3 Offices in northern area in Taiwan are more efficient than those in other areas. 2.4 Offices in Taipei City and Kaohsiung City are more efficient than those in other cities. 3. Applications for evaluation in this study 3.1 We have constructed a basic model for the financial authority to evaluate performance of the National Tax Administration and its branch offices. 3.2 The relative efficiency value we have in this study can help the branch offices realize their strength and weakness in their tax collection. 3.3 The relative efficiency value is able to provide the National Tax Administration as a reference to apportion the yearly tax revenue target and to adjust resource allocation efficiently among the branch offices.

Thesis (M.S.A.)--Miami University, Dept. of Computer Science and Systems Analysis, 2003. / Title from first page of PDF document. Document formatted into pages; contains iii, 36 p. Includes bibliographical references (p. 35-36).

Thesis (doctoral)--Göteborgs universitet, 1996. / Extra t.p. with thesis statement and English abstract inserted. Includes bibliographical references (p. 205-219).

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Made available in DSpace on 2014-06-12T17:42:06Z (GMT). No. of bitstreams: 2 arquivo7386_1.pdf: 425635 bytes, checksum: 9de5460b11e129c770e1c77bc83f93ae (MD5) license.txt: 1748 bytes, checksum: 8a4605be74aa9ea9d79846c1fba20a33 (MD5) Previous issue date: 2003 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / Atualmente, o setor de saneamento básico brasileiro está passando por estudos para modernização das empresas responsáveis pelos serviços d água e captação de esgoto nos âmbitos regionais, estaduais e municipais, a fim de mapear, conhecer a qualidade, amplitude e eficiência desses serviços. Essa dissertação determinou o grau de eficiência técnica das 26 companhias estaduais de saneamento básico, através da metodologia DEA - Análise Envoltória de Dados (Data Envelopment Analysis), cuja metodologia baseia-se em procedimentos de programação matemática e possibilita a obtenção de uma fronteira não-paramétrica de eficiência. O procedimento selecionado para assegurar um resultado satisfatório foi à aplicação do software Analyst Frontier, com o propósito de avaliar a eficiência. Nesse sentido, é apresentada uma visão geral do tema e objetivos seguido por um estudo detalhado do setor de saneamento brasileiro e das fronteiras de produção e eficiência produtiva. Para isso, foram escolhidos os modelos a serem utilizados, a amostra, os inputs e output para aplicação às empresas do setor de saneamento. Finalmente são apresentados os escores de eficiência obtidos nos modelos DEA, os quais foram analisados segundo os critérios de localização, retornos de escalas e indicadores técnicos. As companhias estaduais de saneamento básico, de um modo geral apresentaram bons resultados nos dois modelos DEA. Entretanto, observou-se que, a ineficiência técnica foi mais expressiva que a ineficiência de escala

There are three interrelated objectives in a manufacturing facility that are important for the planning and control of a technology comprised of serial production processes. These objectives include plant effectiveness, process effectiveness and a production line-balance between consecutive stages. Plant effectiveness is the degree to which the facility meets its pre-determined plant-level targets. Process effectiveness is the degree to which the production processes meets their pre-determined resource (input) and output targets. The concept of balance exemplifies the degree to which the serial processes exhibit bottlenecks. In this research, all the above three objectives are modeled using a serial-manufacturing goal-programming (SMGP) approach. The results obtained from the SMGP approach are used in conjunction with the traditional DEA analysis to evaluate the overall performance of the plant. This approach is applied to a printed circuit board manufacturing firm for which data has been accumulated for a two-year period. / Master of Science