Dissertations / Theses: 'Dynamic Data Envelopment Analysis'

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Emrouznejad, Ali. "The assessment of dynamic efficiency of decision making units using data envelopment analysis." Thesis, University of Warwick, 2000. http://wrap.warwick.ac.uk/4366/.

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The concept of a "production function" as means to measuring efficiency began in 1928 with the seminal paper by Cobb and Douglas (1928). However, until the 1950s, production functions were largely used as a tool for studying the functional distribution of income between capital and labour. Farrell's argument (1957) provides an intellectual basis for redirecting attention from the production function specifically to the deviation from that function as a measure of efficiency. He developed a method so that we can measure efficiency in terms of distance to the "best DMU" on the frontier isoquant. Charnes, Cooper and Rhodes (1978) generalised Farrell's concept to multiple - input multiple - output situations and reformulated it using mathematical programming and thus derived an efficiency measurement known as Data Envelopment Analysis (DEA). Therefore DEA is a linear programming based method for comparing Decision Making Units (DMUs) such as schools, hospitals, etc. In the method originally proposed by Charnes, Cooper and Rhodes (1978) the efficiency of a DMU is defined as a ratio of the weighted sum of outputs to the weighted sum of inputs. Thus in the original DEA approach the notion of time dimension has been ignored. This thesis proposes a IDEA based method for assessing the comparative efficiencies of DMUs operating production processes where input - output levels are inter - temporally dependent. One cause of inter - temporal dependence between input and output levels is stock input which influences output levels over many production periods. Such DMUs cannot be assessed by traditional or 'static' DEA. The method developed in the study overcomes the problem of inter - temporal input - output dependence by using input - output 'paths' mapped out by operating DMUs over time as the basis of assessing them. The aim of this thesis is, therefore, firstly, to address that traditional or "static" IDEA fails to capture the efficiency of DMUs with inter - temporal input - output dependence. Secondly the thesis develops an approach for measuring efficiency under inter - temporal input - output dependence by defining an inter - temporal Production Possibility Set (PPS). The method developed uses path of input - output levels associated with DMUs rather than input - output DMUs observed at one point in time as static IDEA does. Using this PPS, an assessment framework is developed which parallels that of static DEA. The thesis develops mathematical programming models which use input - output paths to measure efficiency, identify peers and target of performance of DMUs. The approach is illustrated using simulated and real data.

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Nemoto, Jiro, and Mika Goto. "Measurement of Dynamic Efficiency in Production : An Application of Data Envelopment Analysis to Japanese Electric Utilities." Springer, 2003. http://hdl.handle.net/2237/7775.

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Geymüller, Philipp von. "The efficiency of European transmission system operators. An application of dynamic DEA." Forschungsinstitut für Regulierungsökonomie, WU Vienna University of Economics and Business, 2007. http://epub.wu.ac.at/1070/1/document.pdf.

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Synková, Rut. "Rozšíření modelů analýzy obalu dat a jejich aplikace v automobilovém průmyslu." Doctoral thesis, Vysoká škola ekonomická v Praze, 2003. http://www.nusl.cz/ntk/nusl-77087.

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The Models of the Data Envelopment Analysis are the instruments for benchmarking of homogenous production units. The first models had been formulated by the end of 70th in the last century and since then have been the subject of interest in the theoretical area as well as in the analytical area. The thesis refers to the models of the Data Envelopment Analysis and its development in the theoretical area. The second goal of the thesis is an application of models of the Data Envelopment Analysis in industrial environment and illustration of its possible use by investment decision. The domestic literature on the area of the Data Envelopment Analysis has not been sufficient. The thesis is therefore mapping the present stage of knowledge in this area and further widens by the Allocation Models, Dynamic Analysis and the questions of non-controlled and imprecise variables. Models, which are formulated in the thesis, where afterwards applied on the data of the foreign companies. The numerical experiments were worked out by the software support for the models of the Data Envelopment Analysis, built in the environment of MS Excel. The main contributions of the thesis are in enlargement of the Dynamic Analysis by the partial continuous dynamic analysis and analysis of Efficiency Stability of the evaluated units. The other contribution is the wide application of the models of the Data Envelopment Analysis for benchmarking the companies, which mainly produce the motor vehicles. The thesis gives the overview of the often used models of the Data Envelopment Analysis as well as of the rarely used models. It discusses the possible solution to the special situations which may occur during the application. The thesis is divided into six chapters which, in typical case, contain next to the theory the illustrative application. The first chapter comprises of the subscription of the basic models of the Data Envelopment Analysis. In the second chapter, there are presented the Super-Efficiency Models and discussed the problems with zero inputs and outputs in these models. The overview of the Allocation Models is in following part. The Dynamic Analysis and analysis of Efficiency Stability are subjects of the fourth chapter. The fifth chapter is dedicated to non-controlled and imprecise variables. The last chapter focuses on application of the models in automotive industry and its possible use of results for estimated development of the evaluated units on Investment markets.

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Fallah-Fini, Saeideh. "Measuring the Efficiency of Highway Maintenance Operations: Environmental and Dynamic Considerations." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/77284.

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Highly deteriorated U.S. road infrastructure, major budgetary restrictions and the significant growth in traffic have led to an emerging need for improving efficiency and effectiveness of highway maintenance practices that preserve the road infrastructure so as to better support society's needs. Effectiveness and efficiency are relative terms in which the performance of a production unit or decision making unit (DMU) is compared with a benchmark (best practice). Constructing the benchmark requires making a choice between an "estimation approach" based on observed best practices (i.e., using data from input and output variables corresponding to observed production units (DMUs) to estimate the benchmark with no elaboration on the details of the production process inside the black box) or an "engineering approach" to find the superior blueprint (i.e., focusing on the transformation process inside the black box for a better understanding of the sources of inefficiencies). This research discusses: (i) the application of the estimation approach (non-parametric approach) for evaluating and comparing the performance of different highway maintenance contracting strategies (performance-based contracting versus traditional contracting) and proposes a five-stage meta-frontier and bootstrapping analytical approach to account for the heterogeneity in the DMUs, the resulting bias in the estimated efficiency scores, and the effect of uncontrollable variables; (ii) the application of the engineering approach by developing a dynamic micro-level simulation model for the highway deterioration and renewal processes and its coupling with calibration and optimization to find optimum maintenance policies that can be used as a benchmark for evaluating performance of road authorities. This research also recognizes and discusses the fact that utilization of the maintenance budget and treatments that are performed in a road section in a specific year directly affect the road condition and required maintenance operations in consecutive years. Given this dynamic nature of highway maintenance operations, any "static" efficiency measurement framework that ignores the inter-temporal effects of inputs and managerial decisions in future streams of outputs (i.e., future road conditions) is likely to be inaccurate. This research discusses the importance of developing a dynamic performance measurement framework that takes into account the time interdependence between the input utilization and output realization of a road authority in consecutive periods. Finally, this research provides an overview of the most relevant studies in the literature with respect to evaluating dynamic performance and proposes a classification taxonomy for dynamic performance measurement frameworks according to five issues. These issues account for major sources of the inter-temporal dependence between input and output levels over different time periods and include the following: (i) material and information delays; (ii) inventories; (iii) capital or generally quasi-fixed factors and the related topic of embodied technological change; (iv) adjustment costs; and (v) incremental improvement and learning models (disembodied technological change). In the long-term, this line of research could contribute to a more efficient use of societal resources, greater level of maintenance services, and a highway and roadway system that is not only safe and reliable, but also efficient.
Ph. D.

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Andalib, Maryam Alsadat. "Model-based Analysis of Diversity in Higher Education." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/96221.

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U.S. higher education is an example of a large multi-organizational system within the service sector. Its performance regarding workforce development can be analyzed through the lens of industrial and systems engineering. In this three-essay dissertation, we seek the answer to the following question: How can the U.S. higher education system achieve an equal representation of female and minority members in its student and faculty populations? In essay 1, we model the education pipeline with a focus on the system's gender composition from k-12 to graduate school. We use a system dynamics approach to present a systems view of the mechanisms that affect the dynamics of higher education, replicate historical enrollment data, and forecast future trends of higher education's gender composition. Our results indicate that, in the next two decades, women will be the majority of advanced degree holders. In essay 2, we look at the support mechanisms for new-parent, tenure-track faculty in universities with a specific focus on tenure-clock extension policies. We construct a unique data set to answer questions around the effectiveness of removing the stigma connected with automatic tenure-clock policies. Our results show that such policies are successful in removing the stigma and that, overall, faculty members that have newborns and are employed by universities that adopt auto-TCE policies stay one year longer in their positions than other faculty members. In addition, although faculty employed at universities that adopt such policies are generally more satisfied with their jobs, there is no statistically significant effect of auto TCE policies on the chances of obtaining tenure. In essay 3, we focus on the effectiveness of training underrepresented minorities (e.g., African Americans and Hispanics) in U.S. higher education institutions using a Data Envelopment Analysis approach. Our results indicate that graduation rates, average GPAs, and post-graduate salaries of minority students are higher in selective universities and those located in more diverse towns/cities. Furthermore, the graduation rate of minority students in private universities and those with affirmative action programs is higher than in other institutions. Overall, this dissertation provides new insights into improving diversity within the science workforce at different organizational levels by using industrial and systems engineering and management sciences methods.
Ph. D.

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Burger, Anton, and Philipp von Geymüller. "Can we measure Welfare? Dynamic Comparisons of Allocative Efficiency before and after the Introduction of Quality Regulation for Norwegian Electricity Distributors." Forschungsinstitut für Regulierungsökonomie, WU Vienna University of Economics and Business, 2008. http://epub.wu.ac.at/624/1/document.pdf.

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We investigate empirically the usefulness of price-cap and quality regulation in terms of allocative efficiency and welfare. An analytical framework allows us to determine sufficient conditions for an increase in welfare. We propose Malmquist productivity indices and their decomposition to check the conditions and to see whether it was a better-solved trade off between quality and costs that caused the welfare increase. The application of this method to a representative sample of Norwegian distribution system operators yields strong evidence for a positive effect of quality regulation on welfare. (author's abstract)
Series: Working Papers / Research Institute for Regulatory Economics

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Campos, Marianna Cruz. "Avalia??o da efici?ncia din?mica na sa?de: um estudo nos hospitais do sistema ?nico no Rio Grande do Norte." PROGRAMA DE P?S-GRADUA??O EM ENGENHARIA DE PRODU??O, 2014. https://repositorio.ufrn.br/jspui/handle/123456789/22352.

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Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior (CAPES)
O presente trabalho tem como objetivo propor um modelo para avalia??o da efici?ncia din?mica, aplicado aos hospitais gerais do Sistema ?nico de Sa?de do Estado do Rio Grande do Norte, para promover uma melhoria na taxa de atendimento para popula??o e na gest?o de recursos (humano, material e capital) nestes hospitais. Este prop?sito justifica-se pela situa??o atual da sa?de brasileira definida por um contexto de alto n?mero de redu??o de leitos ao longo dos anos; alto n?mero de mortes; salas inapropriadas para interven??es ambulatoriais e cir?rgicas; leitos indispon?veis por inexist?ncia/falta de manuten??o de equipamentos b?sicos, e uma elevada defasagem no n?mero de profissionais de sa?de na rede hospitalar. Al?m disso, h? uma forte depend?ncia de financiamento para os altos custos operacionais, incapazes de gerar um padr?o de qualidade aceit?vel. O m?todo de pesquisa foi predominantemente explorat?rio, com aplica??o da An?lise Envolt?ria de Dados com modelagem din?mica (Dynamic Data Envelopment Analysis - DDEA) para determinar a efici?ncia das unidades organizacionais no per?odo entre os anos de 2011 a 2013, por meio de cortes transversais. Para a condu??o desta pesquisa, foram consideradas unidades hospitalares gerais (39) administradas diretamente por ?rg?os da sa?de, o que representam aproximadamente 80% dos hospitais p?blicos gerais do Rio Grande do Norte. Com o uso desta metodologia, os resultados apontaram os hospitais com melhor desempenho no per?odo analisado, contribuindo para a tomada de decis?o gerencial e o planejamento eficiente das a??es de sa?de p?blica no Estado. A implementa??o da an?lise din?mica alcan?ou o seu principal objetivo, ao apresentar resultados mais discriminat?rios em rela??o ao modelo cl?ssico de DEA e tamb?m permitir a an?lise dos impactos na produtividade dos hospitais no per?odo observado.
O presente trabalho tem como objetivo propor um modelo para avalia??o da efici?ncia din?mica, aplicado aos hospitais gerais do Sistema ?nico de Sa?de do Estado do Rio Grande do Norte, para promover uma melhoria na taxa de atendimento para popula??o e na gest?o de recursos (humano, material e capital) nestes hospitais. Este prop?sito justifica-se pela situa??o atual da sa?de brasileira definida por um contexto de alto n?mero de redu??o de leitos ao longo dos anos; alto n?mero de mortes; salas inapropriadas para interven??es ambulatoriais e cir?rgicas; leitos indispon?veis por inexist?ncia/falta de manuten??o de equipamentos b?sicos, e uma elevada defasagem no n?mero de profissionais de sa?de na rede hospitalar. Al?m disso, h? uma forte depend?ncia de financiamento para os altos custos operacionais, incapazes de gerar um padr?o de qualidade aceit?vel. O m?todo de pesquisa foi predominantemente explorat?rio, com aplica??o da An?lise Envolt?ria de Dados com modelagem din?mica (Dynamic Data Envelopment Analysis - DDEA) para determinar a efici?ncia das unidades organizacionais no per?odo entre os anos de 2011 a 2013, por meio de cortes transversais. Para a condu??o desta pesquisa, foram consideradas unidades hospitalares gerais (39) administradas diretamente por ?rg?os da sa?de, o que representam aproximadamente 80% dos hospitais p?blicos gerais do Rio Grande do Norte. Com o uso desta metodologia, os resultados apontaram os hospitais com melhor desempenho no per?odo analisado, contribuindo para a tomada de decis?o gerencial e o planejamento eficiente das a??es de sa?de p?blica no Estado. A implementa??o da an?lise din?mica alcan?ou o seu principal objetivo, ao apresentar resultados mais discriminat?rios em rela??o ao modelo cl?ssico de DEA e tamb?m permitir a an?lise dos impactos na produtividade dos hospitais no per?odo observado.

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Brito, Francisco Iranylson Gomes de. "A efici?ncia dos gastos p?blicos no sistema brasileiro de sa?de: uma an?lise na vacina??o dos munic?pios utilizando a an?lise envolt?ria de dados." PROGRAMA DE P?S-GRADUA??O EM ENGENHARIA DE PRODU??O, 2016. https://repositorio.ufrn.br/jspui/handle/123456789/24015.

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O presente trabalho prop?e um novo modelo de an?lise da efici?ncia do sistema de sa?de p?blica do Brasil a partir da avalia??o dos gastos na vacina??o dos munic?pios. Considerando que a sa?de funciona de forma interligada entre seus agentes, a efici?ncia de uma forma geral pode ser afetada por problemas de base como a vacina??o na qual contribui para o controle das doen?as transmiss?veis e de morte. Verifica-se, assim, que a imuniza??o pode influenciar na efici?ncia do sistema de sa?de em sua totalidade. ? importante destacar que o m?todo de pesquisa utilizado foi predominantemente descritivo com aplica??o da An?lise Envolt?ria de Dados com modelagem din?mica (Dynamic Data Envelopment Analysis - DDEA) para determinar a efici?ncia das unidades tomadoras de decis?o (DMU) entre os anos de 2013 a 2015. A amostra coletada contempla as regi?es metropolitanas nas quais s?o compostas por 631 munic?pios e Bras?lia visto que a mesma n?o ? considerada munic?pio. Deve-se ressaltar que foram exclu?dos 2 munic?pios da an?lise por n?o apresentarem informa??es suficientes. De acordo com o Minist?rio da Sa?de, as vari?veis que comp?em a modelagem matem?tica s?o classificadas como indicadores de desempenho, e est?o organizadas no modelo conceitual de pesquisa da seguinte forma: inputs (gasto per capta com sa?de e percentual aplicado com gasto profil?tico e terap?utico); carry ? over (percentual de cobertura de vacina??o) e outputs (percentual aplicado com assist?ncia hospitalar, ambulatorial e com medicamentos). Admitindo a grande extens?o territorial do Brasil e suas diferen?as demogr?ficas e socioecon?micas entre as regi?es, a an?lise de dados est? sistematizada em 4 est?gios. No primeiro est?gio, os dados foram rodados e agrupados com todas DMU?s. No segundo, por regi?es. No terceiro por Estados e o ?ltimo por portes dos munic?pios. De acordo com as an?lises realizadas, os resultados apontaram n?veis de efici?ncias distintas em cada est?gio entre as an?lises globais e por per?odos entre os munic?pios. Ainda nas an?lises realizadas por porte de munic?pios o qual ? considerado o maior est?gio de n?vel de homogeneidade da amostra, ? apontado que quanto maior o munic?pio, maior ser? a sua efici?ncia. Este resultado demonstra a import?ncia dos investimentos na sa?de, pois quanto maior o munic?pio, maior ser? sua arrecada??o pr?pria e sua receita corrente l?quida. Dessa forma, haver? um aumento da aplica??o de recursos na sa?de devido a obrigatoriedade legal e, tamb?m, um aumento nos repasses do governo estadual e federal, pois as verbas s?o distribu?das de acordo com o n?mero de habitantes por munic?pio. Contudo, ? importante ressaltar que cabe aos gestores analisar e se espelhar nos relat?rios gerenciais e financeiros dos munic?pios com n?vel de efici?ncia maior para que possam melhorar seu desempenho.
The present work proposes a new model for the analysis of the efficiency of the Brazilian public health system based on the evaluation of the vaccination expenditures of the municipalities. Considering that health functions interconnectedly among its agents, overall efficiency can be affected by underlying problems such as vaccination in which it contributes to the control of communicable diseases and death. Thus, immunization can influence the efficiency of the health system as a whole. It is important to highlight that the research method used was predominantly descriptive with the application of Dynamic Data Envelopment Analysis (DDEA) to determine the efficiency of the decision making units (DMU) between the years of 2013 and 2015. The collected sample contemplates the metropolitan regions in which they are composed by 631 municipalities and Bras?lia since it is not considered a municipality. It should be noted that 2 municipalities were excluded from the analysis because they did not present sufficient information. According to the Ministry of Health, the variables that make up the mathematical modeling are classified as performance indicators, and are organized in the conceptual research model as follows: inputs (expenditure per capita with health and percentage applied with prophylactic and therapeutic expenditure) ; carry - over (percentage of vaccination coverage) and outputs (percentage applied with hospital, outpatient, and medication assistance). Assuming the great territorial extension of Brazil and its demographic and socioeconomic differences between regions, the data analysis is systematized in 4 stages. In the first stage, the data were rotated and grouped with all DMU's. In the second, by regions. In the third by states and the last by ports of the municipalities. According to the analyzes, the results indicated different levels of efficiencies at each stage between the global analyzes and by periods between the municipalities. Still in the analyzes carried out by municipalities, which is considered the highest stage of homogeneity level of the sample, it is pointed out that the larger the municipality, the greater its efficiency. This result demonstrates the importance of investments in health, since the larger the municipality, the higher will be its own collection and its current net revenue. In this way, there will be an increase in the application of resources in health due to legal obligation and also an increase in the transfers of the state and federal government, since the funds are distributed according to the number of inhabitants per municipality. However, it is important to emphasize that it is up to managers to analyze and mirror the management and financial reports of municipalities with a higher level of efficiency so that they can improve their performance.

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Gullipalli, Deep Kumar. "Data envelopment analysis with sparse data." Thesis, Kansas State University, 2011. http://hdl.handle.net/2097/13092.

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Master of Science
Department of Industrial & Manufacturing Systems Engineering
David H. Ben-Arieh
Quest for continuous improvement among the organizations and issue of missing data for data analysis are never ending. This thesis brings these two topics under one roof, i.e., to evaluate the productivity of organizations with sparse data. This study focuses on Data Envelopment Analysis (DEA) to determine the efficiency of 41 member clinics of Kansas Association of Medically Underserved (KAMU) with missing data. The primary focus of this thesis is to develop new reliable methods to determine the missing values and to execute DEA. DEA is a linear programming methodology to evaluate relative technical efficiency of homogenous Decision Making Units, using multiple inputs and outputs. Effectiveness of DEA depends on the quality and quantity of data being used. DEA outcomes are susceptible to missing data, thus, creating a need to supplement sparse data in a reliable manner. Determining missing values more precisely improves the robustness of DEA methodology. Three methods to determine the missing values are proposed in this thesis based on three different platforms. First method named as Average Ratio Method (ARM) uses average value, of all the ratios between two variables. Second method is based on a modified Fuzzy C-Means Clustering algorithm, which can handle missing data. The issues associated with this clustering algorithm are resolved to improve its effectiveness. Third method is based on interval approach. Missing values are replaced by interval ranges estimated by experts. Crisp efficiency scores are identified in similar lines to how DEA determines efficiency scores using the best set of weights. There exists no unique way to evaluate the effectiveness of these methods. Effectiveness of these methods is tested by choosing a complete dataset and assuming varying levels of data as missing. Best set of recovered missing values, based on the above methods, serves as a source to execute DEA. Results show that the DEA efficiency scores generated with recovered values are close within close proximity to the actual efficiency scores that would be generated with the complete data. As a summary, this thesis provides an effective and practical approach for replacing missing values needed for DEA.

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Wyatt, Ross. "Homogeneity in data envelopment analysis." Thesis, University of Kent, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.590066.

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Data Envelopment Analysis (DEA) is a non-parametric approach to measuring efficiency. It is increasingly utilised in areas such as finance, education and healthcare. As with many modelling techniques, DEA is based on and restricted by certain assumptions. One of these is the assumption of homogeneity, which asserts that all decision making units must have the same inputs and outputs. Previously, research has had to develop ad hoc methods to cope with this issue, such as removing non-homogenous units, removing key inputs and outputs, having to run multiple DEA models, and using other methods such as regression analyses and post-hoc comparisons. The assumption of homogeneity has therefore restricted the utility of DEA as a measure of efficiency and has limited the scope of its application in the research field. This thesis presents the development and application of a new method that overcomes this assumption, in the form of the 'non-homogeneity' model. The model is an extension of the multi-activity model (Beasley 1995, Mar Molinero 1996) and allows units to be compared when they do not share the same inputs and outputs. The model is firstly applied to an existing dataset to demonstrate its properties. Secondly, to test its usefulness in different scenarios, the model is applied using the concept of indexes, to determine whether new insights into the analysis of indexes can be identified. Finally, the model is used to analyse the efficiency of microcredit providers in the Bolivian financial sector. This complex, non-homogeneous data provides an ideal context to test the non-homogeneity model. It also demonstrates the utility of the model in being able to identify whether units are better to specialise in an area or diversify. This research furthers the field of microcredits by incorporating many different types of lenders into a single analysis. This thesis provides a significant contribution to the DEA literature as it firstly presents an opportunity to analyse non-homogeneous units, and secondly allows researchers to identify whether it is better for those units to specialise or diversify.

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Vlatsa, Dimitra A. "Data envelopment analysis with intensity restrictions." Diss., Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/24909.

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Anderson, Timothy R. (Timothy Roy). "Modeling considerations in data envelopment analysis." Diss., Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/25664.

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Inman, Oliver Lane. "Technology Forecasting Using Data Envelopment Analysis." PDXScholar, 2004. https://pdxscholar.library.pdx.edu/open_access_etds/2682.

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The ability to anticipate future capabilities of technology products has broad implications for organizations. Technological forecasting allows management to improve resource allocation, make better staffing decisions, and more confidently plan facilities and capital expenditures. Technology forecasting may also identify potential new markets and opportunities, such as finding ways to exploit current technology beyond its originally intended purposes. Modern technology forecasters use an array of forecasting methods to predict the future performance of a technology, such as time-series analysis, regression, stochastic methods, and simulation. These quantitative methods rely on the assumption that past behavior will continue. Shortcomings include their lack of emphasis on the best technology available and the fact that they do not effectively address the dynamic nature of ever changing trade-off surfaces. This research proposes a new method to address the shortcomings of common forecasting techniques by extending a well-established management science methodology known as data envelopment analysis (DEA). This new method is referred to as Technology Forecasting with Data Envelopment Analysis (TFDEA). Three case studies are examined to determine the method's validity. The first case study is that of relational database system performance based upon industry benchmarks obtained from the Transaction Processing Performance Council (TPC). The results reveal that TFDEA provides a more accurate picture of the state of the art than basic regression. The second case study expands Moore's law to six dimensions, resulting in a more comprehensive assessment of microprocessor technology. The final case study re-examines hard disk drive data for the years 1994-1999 in order to evaluate the technological progress of multiple technological approaches presented in Christensen's The Innovator's Dilemma . Major contributions include both a new technology forecasting technique and an important extension of the temporal DEA methodology, which together offer a new and more comprehensive method for evaluating and forecasting technology.

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Allen, Katrin Dyckhoff Harald. "Messung ökologischer Effizienz mittels Data Envelopment Analysis /." Wiesbaden : Dt. Univ.-Verl, 2002. http://www.gbv.de/dms/zbw/349360405.pdf.

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Allen, Rachel. "Incorporating value judgments in data envelopment analysis." Thesis, University of Warwick, 1997. http://wrap.warwick.ac.uk/36222/.

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Data Envelopment Analysis (DEA) is a linear programming technique for measuring the relative efficiencies of a set of Decision Making Units (DMUs). Each DMU uses the same set of inputs in differing amounts to produce the same set of outputs in differing quantities. Weights are freely allocated in order to allow these multiple incommensurate inputs and outputs to be reduced to a single measure of input and a single measure of output. A relative efficiency score of a DMU under Constant Returns to Scale is given by maximising the sum of its weighted outputs to the sum of its weighted inputs, such that this ratio can not exceed I for any DMU; with the weights derived from the model being taken to represent the value attributed to the inputs and outputs of the assessment. It is well known in DEA that this free allocation of weights can lead to several problems in the analysis. Firstly inputs and outputs can be virtually ignored in the assessment; secondly any relative relationships between the inputs or outputs can be ignored, and thirdly any relationships between the inputs and outputs can be violated. To avoid/overcome these problems, the Decision Maker's (DM) value judgments are incorporated into the assessment. At present there is one main avenue for the inclusion of values, that of weights restrictions, whereby the size of the weights are explicitly restricted. Thus to include the relative value of the inputs or outputs, the relative value of the weights for these related inputs or outputs are restricted. The popularity of this approach is mainly due to its simplicity and ease of use. The aim of this thesis is, therefore, firstly, to demonstrate that, although the weights restrictions approach is appropriate for many DMs, for a variety of reasons some DMs, may prefer an alternative form for the expression of their values, e.g. so that they can include local values in the assessment. With this in mind, the second aim of this thesis is to present a possible alternative approach for the DMs to incorporate their values in a DEA assessment and, thirdly, it aims to utilise this alternative approach to improve envelopment. This alternative approach was derived by considering the basic concept of DEA, which is that it relies solely on observed data to form the Production Possibility Set (PPS), and then uses the frontier of this PPS to derive a relative efficiency score for each DMU. It could be perceived, therefore, that the reason for DMUs receiving inappropriate relative efficiency scores is due to the lack of suitable DEA-efficient comparator DMIUs. Thus, the proposed approach attempts to estimate suitable input output levels for these missing DEA-efficient comparator DMUs, i.e. Unobserved DMUs. These Unobserved DMUs are based on the manipulation of observed input output levels of specific DEA-efficient DMUs. The aim of the use of these Unobserved DMUs is to improve envelopment, and the specific DEA-efficient DMTJs that are selected as a basis for the Unobserved DMILTs are those that delineate the DEA-efficient frontier from the DEA-inefficient frontier. So, the proposed approach attempts to extend the observed PPS, while assuming that the values of the observed DEA-efficient DMIJs are in line with the perceived views of the DM. The approach was successfully applied to a set of UK bank branches. To illustrate that no approach is all-purpose, and that each has its strengths and weaknesses and, therefore, its own areas of application, a brief comparison is made between the approach of weights restrictions and the approach proposed in this thesis. This thesis is divided into three sections: A - Overview of the research area; B - An alternative perspective for incorporating values in DEA; C - The use of UDMUs to express the DM's values to improve envelopment

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Sowlati, Taraneh. "Establishing the practical frontier in data envelopment analysis." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/NQ63714.pdf.

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Wan, Chun-wah, and 尹振華. "Evaluate hotel energy performance using data envelopment analysis." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B48543640.

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There are many factors affecting the hotel energy consumption, such as hotel classifications, floor area, numbers of guest rooms, nos. of room guests, mix of guest segments, level of occupancy (guest nights), scale of meeting facilities, laundry, retails operations, building features, facilities features, fuel mix, year of construction, year of retrofit, numbers of staff, weather conditions, management arrangement, etc. In Hong Kong and Singapore, the traditional method of benchmarking by Energy Use Index (EUI) per particular factor however was not able to effectively analyze such multiple inputs and multiple outputs environment. From the previous research papers, the Data Envelopment Analysis (DEA) was applied for the hotel management study in other countries recently, such as Portugal, Africa, Italy, Taiwan and Korean. Recently, the application of DEA to building energy analysis was only limited to residential buildings in US, government buildings in Taiwan, and hotel buildings in Turkey. The study provides a simple and basic DEA model (CCR-I CRS) for the evaluation of hotel energy consumption analysis of a sample hotel in Hong Kong for the tourism /hospitality industry. The DEA model was established with multiple input variables (electricity, Towngas, water, outdoor temperature and relative humidity) and multiple output variables (numbers of room nights, numbers of room guests, and numbers of food & beverage cover). The models successfully identifies the relative efficiencies of efficient decision-making units (DMUs) and inefficient DMUs, therefore the potential of saving areas are shown for further improvement action by hotel management strategic planning. Benchmarks are provided for improving the operations of poor-performing DMUs – months and F&B outlets respectively. Several interesting and useful managerial insights and implications from the study are discussed. Peer groups and slacks were identified among the efficient operations for the inefficient DMUs to adjust themselves in order to reach the efficient frontier. The study suggests a framework which enables the hotel management to develop a strategic action plan with energy conservation measures in different priorities. At the end, the hotel will be able to deliver a high degree of guest service standard and at the same time to preserve the environment by reducing the energy consumption. It is concluded that my area of study is a fit to “the gap”. The end results will form the extension of overseas researches and the foundation of the local researches in this knowledge area.
published_or_final_version
Environmental Management
Master
Master of Science in Environmental Management

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Parthasarathy, Srinivasan. "A computationally efficient procedure for data envelopment analysis." Thesis, London School of Economics and Political Science (University of London), 2010. http://etheses.lse.ac.uk/2771/.

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This thesis is the final outcome of a project carried out for the UK's Department for Education and Skills (DfES). They were interested in finding a fast algorithm for solving a Data Envelopment Analysis (DEA) model to compare the relative efficiency of 13216 primary schools in England based on 9 input-output factors. The standard approach for solving a DEA model comparing n units (such as primary schools) based on m factors, requires solving 2n linear programming (LP) problems, each with m constraints and at least n variables. At m = 9 and n = 13216, it was proving to be difficult. The research reported in this thesis describes both theoretical and practical contributions to achieving faster computational performance. First we establish that in analysing any unit t only against some critically important units - we call them generators - we can either (a) complete its efficiency analysis, or (b) find a new generator. This is an important contribution to the theory of solution procedures of DEA. It leads to our new Generator Based Algorithm (GBA) which solves only n LPs of maximum size (m x k), where k is the number of generators. As k is a small percentage of n, GBA significantly improves computational performance in large datasets. Further, GBA is capable of solving all the commonly used DEA models including important extensions of the basic models such as weight restricted models. In broad outline, the thesis describes four themes. First, it provides a comprehensive critical review of the extant literature on the computational aspects of DEA. Second, the thesis introduces the new computationally efficient algorithm GBA. It solves the practical problem in 105 seconds. The commercial software used by the DfES, at best, took more than an hour and often took 3 to 5 hours making it impractical for model development work. Third, the thesis presents results of comprehensive computational tests involving GBA, Jose Dula's BuildHull - the best available DEA algorithm in the literature - and the standard approach. Dula's published result showing that BuildHull consistently outperforms the standard approach is confirmed by our experiments. It is also shown that GBA is consistently better than BuildHull and is a viable tool for solving large scale DBA problems. An interesting by-product of this work is a new closed-form solution to the important practical problem of finding strictly positive factor weights without explicit weight restrictions for what are known in the DEA literature as "extreme-efficient units". To date, the only other methods for achieving this require solving additional LPs or a pair of Mixed Integer Linear Programs.

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20

Chesworth, Timothy John. "Benchmarking local government services using data envelopment analysis." Thesis, University of Manchester, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.629926.

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The identification of best practices is a crucial aspect of benchmarking (Camp, 1989) but there is little published evidence to show that a framework exists which identifies such practices in the public sector (Kouzmin el al., 1999). This thesis examines how the benchmarking of local government services might be improved through using Data Envelopment Analysis (DEA). Seminal work in 1978 by Charnes, Cooper and Rhodes (CCR) provided the original ratio model of DEA for Constant Returns-to-Scale (CRS) and this was extended in 1984 by Banker, Charnes and Cooper (BCC) to include Variable Returns-to-Scale (VRS). Whilst it is recognised that DEA has sincc been developed, this research applies the primal CCR and BCC efficiency models to estimate productive efficiency over an II-year period (from 1993/94 to 2003/04) across 4 significant service areas provided by local government: Housing Benefit and Council Tax Benefit (HB and CTB); planning control; houschold waste collection and recycling; and highway maintenance. Input and output variables arc selected from published Audit Commission Performance Indicators (PIs), Best Value Performance Indicator (BVPI) data, and statistics produced by the Chartered Institute of Public Financial Accountants (CIPFA). Performance data is pooled into between 3 and 5 windows where the same input and output variables exist. DEA scores, run under CRS provide a ranked performance position for each council averaged across the data windows. Spearman's rank correlation confirms the statistical significance between each of the ranks across the data windows. A sample of 51 high and low-ranked councils across London borough, metropolitan borough, unitary, district and county councils (as applicable) is comparcd and contrasted with performance reviews published by the Audit Commission. A total improvement summary for each type of local authority is estimated against the frontier of best practice while scale effects are calculated under VRS constraints. The Malmquist index has been used to estimate productivity changes over time. Using data from one year only, hierarchical cluster analysis is calculated to identity benchmarking partners. The research identifies the issues of using published performance data in terms of breadth, availability, clarity, annual consistency, the lack of non-discretionary factors and the reporting of data on a per-unit basis. The study also highlights the limitation of applying DEA consistently, resulting from the absence of a framework for the selection of input and output variables for efficiency estimation in local government. Findings from this study demonstrate that DEA can be used to discriminate between high and low-efficient service providers. This allows improved benchmarking against best performing councils to be undertaken and total improvement estimates of £543m p.a. are projected across the 4 services, should best practices be adopted. Important similarities have been found between the high and low-ranked efficient councils and published Audit Commission performance reviews. Through the use of dendrograms, benchmarking clusters for each service area by council type are visualised on a stepwise basis. The contribution made by this research emanates from the discussion of how DEA has been applied in practice to provide an efficiency measure for local government services. Nevertheless, the research acknowledges the risks inherent in basing findings on the analysis of PIslBVPls and secondary data, which may be restricted in terms of availability and quality.

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Kantu, Dieudonne Kabongo. "Robustness analysis based on weight restrictions in data envelopment analysis." Master's thesis, University of Cape Town, 2006. http://hdl.handle.net/11427/11829.

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Includes bibliographical references.
Evaluating the performance of organisations is essential to good planning and control. Part of this process is monitoring the performance of organisations against their goals. The comparative efficiency of organizations using common inputs and outputs makes it possible for organizations to improve their performance so that can operate as the most efficient organizations. Resources and outputs can be very diversified in nature and it is complex to assess organizations using such resources and outputs. Data Envelopment Analysis models are designed to facilitate this of assessment and aim to evaluate the relative efficiency of organisations. Chapter 2 is dedicated to the basic Data Envelopment Analysis. We present the following: * A review of the Data Envelopment Analysis models; * The properties and particularities of each model. In chapter 3, we present our literature survey on restrictions. Data Envelopment Analysis is a value-free frontier which has the of yielding more objective efficiency measures. However, the complete freedom in the determination of weights for the factors and products) relevant to the assessment of organisations has led to some problems such as: zero-weights and lack of discrimination between efficient organizations. Weight restriction methods were introduced in order to tackle these problems. The first part of chapter 3 in detail the motivations for weight restrictions while the second part presents the actual weight restriction rnethods.

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Ozpeynirci, Nail Ozgur. "New Approaches For Performance Evaluation Using Data Envelopment Analysis." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/12604977/index.pdf.

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Data Envelopment Analysis (DEA) assigns efficiency values to decision making units (DMU) in a given period by comparing the outputs with the inputs. In many applications, inputs and outputs of DMUs are monitored over time. There might be a time lag between the consumption of inputs and production of outputs. We develop approaches that aim to capture the time lag between the outputs and the inputs in assigning the efficiency values to DMUs. We present computational results on randomly generated problems as well as on an application to R&
D institutes of the Scientific and Technical Research Council of Turkey (TÜ
BiTAK).

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23

Miller, Noah James. "Estimating elasticities of input substitution using data envelopment analysis." Thesis, Kansas State University, 2016. http://hdl.handle.net/2097/27656.

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Master of Science
Agricultural Economics
Jason S. Bergtold
The use of elasticities of substitution between inputs has become the standard method for addressing the effect of a change in the mix of input used for production from a technological or cost standpoint. (Chambers 1988) A researcher that wants to estimate this elasticity, or some other comparative static, typically would do so using parametric production or cost function (e.g. translog or normalized quadratic) with panel data. For a study with only cross-sectional data, the construction of such a function may be problematic. Using a dual approach, a nonparametric alternative in such a situation may be the use of Data Envelopment Analysis (DEA). Cooper et al. (2000) provided a methodology for estimating elasticities of substitution for the technical production problem using DEA. To our knowledge, this has not been extended to the cost efficiency problem, which would be equivalent to estimating Allen partial or Morishima elasticities of substitution between inputs using a cost function (or cost minimization framework). The purpose of this thesis is to show how elasticities of substitution can be derived and estimated for the technical production and cost (overall economic) efficiency DEA under variable returns to scale. In addition, an empirical example using Kansas Farm Management Association (KFMA) data is presented to illustrate the estimation of these elasticities. The results showed that input substitutability is relatively limited at the enterprise level

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Pasupathy, Kalyan Sunder. "Modeling Undesirable Outputs in Data Envelopment Analysis: Various Approaches." Thesis, Virginia Tech, 2002. http://hdl.handle.net/10919/31333.

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The general practice in performance and production efficiency measurement has been to ignore additional products of most transformation processes that can be classified as â undesirable outputsâ â which are a subset of the output set. Without the inclusion of these factors, the efficiency evaluation becomes a purely technical measure of the system alone, and does not account for the interaction of the system with the surrounding environment and the impact of policy decisions on the system. In addition, there are also technological dependencies arising due to the relationships between the desirable and the undesirable outputs. One of the analytical tools normally used in efficiency evaluation is Data Envelopment Analysis, DEA. In the course of addressing these problems, a decision-maker encounters multiple and contradictory objectives with respect to the output set. This motivates the exploration of new arenas of measurement of efficiency to facilitate policy decisions and address technological relationships. This research presents five modifications of the traditional DEA technique to give a more realistic and comprehensive score of production efficiency considering both, desirable and undesirable outputs. The models address the following problems: (i) technological dependency between desirable and undesirable outputs; (ii) decision-makerâ s preferences over inputs, desirable outputs and undesirable output performance and finally (iii) conflicting production objectives through a formulation that uses Goal Programming in conjunction with DEA, a concept known as GoDEA.
Master of Science

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25

Carter, Lacy. "Data Envelopment Analysis: Measurement of Educational Efficiency in Texas." Thesis, University of North Texas, 2012. https://digital.library.unt.edu/ark:/67531/metadc149569/.

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The purpose of this study was to examine the efficiency of Texas public school districts through Data Envelopment Analysis. The Data Envelopment Analysis estimation method calculated and assigned efficiency scores to each of the 931 school districts considered in the study. The efficiency scores were utilized in two phases. First, the school district efficiency scores were combined with school district student achievement to evaluate effectiveness with efficiency. A framework was constructed to graph the scores on an x-axis of student achievement scores and a y-axis of efficiency scores to further illustrate the data. The framework was evaluated with the full statewide sample and with school districts categorized into similar peer groups. Then, using variables selected from related scholarly literature, a regression analysis identified which factors impacted school district efficiency statewide. The non-discretionary variables included in the study were total student enrollment, the percentage of non-white students and the percentage of economically disadvantaged students. The discretionary variables selected included the teacher-to-student ratio, teachers’ average years of experience, the percentage of teachers with master’s degrees and the average teacher base salary. Amongst the seven factors selected for regression analysis, five statistically significant variables were identified as impacting statewide school district efficiency. All three non-discretionary variables were identified as statistically significant on efficiency and included total student enrollment, the percentage of non-white students and the percentage of economically disadvantaged students. Two discretionary factors showed statistically significant effects on efficiency which included teachers’ average years of experience and the percentage of teachers with master’s degrees. The teacher-to-student ratio and the average teacher base salary were ineffective in predicting efficiency. This study contributed to the understanding on educational efficiency. Data Envelopment Analysis has been employed mainly in the private sector to analyze efficiency in economics and business organizations. This study added to the educational research on selecting Data Envelopment Analysis as a primary estimation method for analyzing the efficiency of school systems.

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Pak, Anastassiya. "Aplikace metody Data Envelopment Analysis na vybrané bankovní instituce." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-116585.

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The following thesis documents application of Data Envelopment Analysis method on the sample of eight banks which were functioning on the Czech banking market during the period 2007 -- 2010 in order to measure their technical efficiency. Thesis consists of two major parts -- theoretical and practical one. The first part includes main principles, areas of application of the method and theoretical base of the DEA which will be used in the practical part. Second part presents brief description of the trends on the Czech banking market and it's development during the period 2007 -- 2010. Practical part also contains results of the measurement, its interpretation and analysis of main reasons of banks' inefficiency.

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27

Ashoor, Khalil Layla Ali. "Performance analysis integrating data envelopment analysis and multiple objective linear programming." Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/performance-analysis-integrating-data-envelopment-analysis-and-multiple-objective-linear-programming(65485f28-f6c5-4eff-b422-6dd05f1b46fe).html.

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Firms or organisations implement performance assessment to improve productivity but evaluating the performance of firms or organisations may be complex and complicated due to the existence of conflicting objectives. Data Envelopment Analysis (DEA) is a non-parametric approach utilized to evaluate the relative efficiencies of decision making units (DMUs) within firms or organizations that perform similar tasks. Although DEA measures the relative efficiency of a set of DMUs the efficiency scores generated do not consider the decision maker’s (DM’s) or expert preferences. DEA is used to measure efficiency and can be extended to include DM’s and expert preferences by incorporating value judgements. Value judgements can be implemented by two techniques: weight restrictions or constructing an equivalence Multiple Objective Linear Programming (MOLP) model. Weight restrictions require prior knowledge to be provided by the DM and moreover the DM cannot interfere during the assessment analysis. On the other hand, the second approach enables the DM to interfere during performance assessment without prior knowledge whilst providing alternative objectives that allow the DM to reach the most preferred decision subject to available resources. The main focus of this research was to establish interactive frameworks to allow the DM to set targets, according to his preferences, and to test alternatives that can realistically be measured through an interactive procedure. These frameworks are based on building an equivalence model between extended DEA and MOLP minimax formulation incorporating an interactive procedure. In this study two frameworks were established. The first is based on an equivalence model between DEA trade-off approach and MOLP minimax formulation which allows for incorporating DM’s and expert preferences. The second is based on an equivalence model between DEA bounded model and MOLP minimax formulation. This allows for integrating DM’s preferences through interactive steps to measure the whole efficiency score (i.e. best and worst efficiency) of individual DMU. In both approaches a gradient projection interactive approach is implemented to estimate, regionally, the most preferred solution along the efficient frontier. The second framework was further extended by including ranking based on the geometric average. All the frameworks developed and presented were tested through implementation on two real case studies.

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Pilateris, Peter. "The evaluation of contractors based on financial data using Data Envelopment Analysis." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0017/MQ53376.pdf.

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Ashkiani, Shahin. "Four essays on data visualization and anomaly detection of data envelopment analysis problems." Doctoral thesis, Universitat Autònoma de Barcelona, 2019. http://hdl.handle.net/10803/669593.

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La visualización de datos es un tema relativamente descuidado en el campo del Análisis Envolvente de Datos(DEA). En los manuales completos de DEA casi no hay ningún capítulo o sección dedicada a los métodos de visualización de datos, y en las aplicaciones de DEA, generalmente se asigna un papel muy limitado y nada principal en la visualización de datos. Sin embargo, la representación gráfica de los datos puede tener beneficios definitivos para los profesionales e investigadores del campo, hasta tal punto que la interpretación resultante de los problemas de la DEA a través de la visualización no se puede obtener utilizando métodos analíticos. La visualización de datos, cuando se aplica correctamente, puede revelar regularidades e irregularidades en los datos. Las regularidades pueden ser tendencias o agrupaciones, y las irregularidades son discordantes, como los valores atípicos. En algunos casos, la visualización de datos ayuda a entender-los mucho más rápidamente, ya que el cerebro humano está conectado para absorber la información visual de manera más eficiente que los dígitos, y la visualización de datos puede resumir cargas de dígitos en un gráfico. Además, algunos patrones se hacen visibles cuando el método de investigación retiene todas las variables y sus relaciones, algo que los métodos analíticos no pretenden hacer. Por el contrario, la visualización de datos de alta dimensión se compone de métodos que tienden a retener toda la información y, por lo tanto, están en el centro de esta tesis, para encontrar regularidades e irregularidades en los diversos conjuntos de datos DEA. A pesar del olvido que tiene la visualación de datos DEA, ya hay cosas hechas y ya existen metodos, es más tienen varias herramientas muy útiles. El primer ensayo de esta tesis es una encuesta visual de las herramientas disponibles. Como no existe tal encuesta en la literatura de la DEA, es importante reunir todas las herramientas de visualización en un mismo grupo, e identificar e ilustrar las importantes para ayudar a los profesionales a elegir las herramientas adecuadas así como ayudar a los investigadores a crear nuevas herramientas. El segundo ensayo de esta tesis sugiere una nueva herramienta para esta caja de herramientas. Esta nueva herramienta es un método de visualización para la metodología de “Cross-Evaluation” de la DEA y se puede utilizar para diversos fines, incluida la detección de valores atípicos o unidades de toma de decisiones (DMU) poco comunes. Un tipo de estas DMU poco comunes se denominan "unidades rebeldes", y el tercer ensayo de esta tesis se centra en este tipo de DMU. Las unidades Maverick son el tema del segundo ensayo, y se sugiere un nuevo método visual, basado en el ensayo anterior, para detectar tales DMU, y se crea un nuevo índice para identificarlas numéricamente. En esta tesis se prueba que el nuevo índice inconformista de maverick esta en teoria y en la práctica más justificado y es más robusto que los conocidos índices inconformistas de maverick de la literatura de la DEA. El cuarto y último ensayo es una introducción a DEA-Viz, un nuevo software de visualización desarrollado por el autor de esta tesis. DEA-Viz incluye la implementación del método sugerido de visualización de evaluación cruzada del segundo ensayo, así como una selección de métodos de visualización DEA sugeridos previamente. La importancia de DEA-Viz radica en el hecho de que no hay ningún software DEA con la misma funcionalidad que DEA-Viz, ni ningún software DEA con características similares de DEA-Viz. Por lo tanto, DEA-Viz puede tener un papel incomparable en el análisis de problemas de DEA y en la promoción de la visualización de DEA.
Data visualization is a relatively neglected topic in the field of data envelopment analysis (DEA). In the comprehensive handbooks of DEA, there is hardly any chapter or section dedicated to data visualization methods, and in the applications of DEA, a very limited and peripheral role is usually assigned to data visualization. However, graphical representation of data can have definite benefits for the practitioners and researchers of the field, to such extent that the resulted insight to the DEA problems through visualization may not be gained using analytical methods. Data visualization, when applied correctly, is able to reveal regularities and irregularities in the data. Regularities can be trends, or clusters, and irregularities are anything discordant, such as outliers. In some cases, data visualization helps to grasp the data much more quickly, as human brain is wired to absorb visual information more efficiently than digits, and data visualization can summarize loads of digits into one chart. On the other hand, some patterns become visible when all the variables and their relations are retained by the investigation method, something that analytical methods do not intend to do. In contrast, High-dimensional data visualization is composed of methods which tend to retain all information, and thus they are in the center of this thesis, in order to find regularities and irregularities in the various DEA datasets. Despite the relative neglect, DEA data visualization toolbox is not empty, and in fact it has several useful tools. The first essay of this thesis is a visual survey of these available tools. Since there is no such survey in DEA literature, it is important to gather all the visualization tools in a toolbox, and identify and illustrate the important ones in order to help practitioners to pick the proper tools, and to help researchers to craft novel tools. The second essay of this thesis suggests a new tool for this toolbox. This new tool is a visualization method for DEA cross-evaluation methodology, and can be used for various purposes including detection of outliers or uncommon decision making units (DMU). One type of these uncommon DMUs is called “maverick units”, and the third essay of this thesis is focused on this sort of DMUs. Maverick units are the subject of the second essay, and a new visual method, based on the preceding essay, is suggested to detect such DMUs, and a new index is devised to numerically identify them. It is shown that the new maverick index is theoretically and practically more justified and robust than the well-known maverick indexes of DEA literature. The forth and last essay is an introduction to DEA-Viz, a new visualization software developed by the author of this thesis. DEA-Viz includes the implementation of the suggested cross-evaluation visualization method of the second essay, as well as a selection of previously suggested DEA visualization methods. Moreover, the DEA-Viz has novel visualization features in order to investigate maverick units in further details, following the third essay. The importance of DEA-Viz lies in the facts that there is not any DEA software with the same functionality as DEA-Viz, or any DEA software with similar features of DEA-Viz. Thus, DEA-Viz can have an unparalleled role in analysis of DEA problems, and promotion DEA visualization. Following the enhancement of this thesis, an R package including all the DEA-Viz tools, as well as some new methods is developed by the author. The package, could be found in author’s online code repository, makes the code available to every interested user, and expands the current DEA visualization tools from static data, to panel data.

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Huang, Yin-You, and 黃胤祐. "Efficiency Evaluation of Non-Profit Organizations Forecast by Dynamic Data Envelopment Analysis." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/gc4s6x.

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碩士
國立東華大學
資訊工程學系
107
Efficiency of research the Non-Governmental Organization (NGO), has attracted many investments. However, uses each item of input and output factors, as well as the organization correlation factor forecast its efficiency, still waited for the exploration. This research uses Dynamic data envelopment the analysis model, and unifies Bayesian network, classification technology the Support vector machine, proposed appraised and forecasts NGO efficiency the research construction. Finally, it seeks to make a profit take Taiwan 40 Non-Governmental Organizations the financial material as the research sample from 2013 to 2015. For conducts real diagnosis of research and the classified pattern test the efficiency computation, the cases research expectation weighs effectively and forecast NGO the management result, achieves the resources utilization the optimization, and as basis of the NGO operational performance. It provides Non-Governmental Organization the appraisal results the populace to examine for the society.

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TSAI, WEI-LUN, and 蔡緯綸. "Combining Dynamic Competition Theory and Data Envelopment Analysis to Explore Competition of Smartphone Manufacturers." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/2q6rvg.

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碩士
東海大學
工業工程與經營資訊學系
107
With the increasing competition among smartphone competitors and the changing of market demands, Taiwanese manufacturers are unable to respond quickly to changes in the market due to the lack of dynamic competition thinking, leading to unsatisfactory performance in overall operating performance. In this study, the outstanding manufacturers in the smartphone market were selected and compared to find out that how they can achieve competitive advantages in a dynamic environment. To provide Taiwanese manufacturers with a benchmark for learning and enabling them to have good operating performance in a highly competitive market. This study uses Dynamic Competition Theory as a method to explore the competition process among competitor and then uses Data Envelopment Analysis to evaluate the performance of firms after competition. Finally, the evaluation results are organized and combined with BCG matrix, and then provided the feedback for business direction. The research results of this study are as follows: (1) The change in the competitive strategy of the smartphone industry can be divided into two categories. Before dominant design emerge, the competition methods of company are mainly based on patent applications and patent litigation; after that, it mainly focused on the R&D expenses, M&A, supply chain integration, sales channel layout, and brand loyalty. (2) Use product life cycle to divide the time periods into four parts. The Early and Growth stage investment of the marketing expense of company has a greater influence than in Maturity stage; The Maturity stage investment of the R&D expenses of company has a greater influence than in Early and Growth stage (3) According to the results of the BCG Matrix, the overall operating efficiency of all companies are maintained at an average level, representing operational efficiency as the basis of corporate competition. The Malmquist Index is an important index that can identify whether a company can continue to grow. The investment in R&D expenses, M&A, supply chain integration are key factors that influence the Malmquist Index.

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Liao, Fong-Yi, and 廖峰毅. "Dynamic Network Data Envelopment Analysis Method to Study the Efficiency of Taiwan Semiconductor Industry." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/19536078397251246143.

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博士
淡江大學
財務金融學系博士班
104
This study is based on a dynamic network data with envelopment analysis (Dynamic Network DEA) to assess the efficiency of Taiwan''s semiconductor manufacturers and productivity (Malmquist Productivity Index; MPI) model to discuss Taiwan''s semiconductor industry from 2008 to 2014 changes in productivity and recommendations Taiwan semiconductor manufacturers hope to provide the management decisions as a reference. First, we divided into the overall semiconductor industry into two groups of the production stage and market stage for set model ready to empirical verification productivity changes and differences between the two stages. Then we set the empirical model input items of the number of employees, fixed assets, research and development costs, output items as operating income, other income, intangible assets, the second stage output of EPS and stock price; Carry over is the net profit. Finally, we divided the semiconductor industry into the two groups of manufacture & package group and IC design group to discussion productivity of the two groups, and then after we first stage of production in overall semiconductor industry in the production stage and the second stage of the market stage, IC design industry and manufacturing packaging industry two groups of integration and verification productivity change given to explore the two groups at different stages and different changes in 2008 to 2014 years. Finally,using Wilcoxon test the DN-DEA and Malmquist Index efficiency value change results in order to understand the performance of the two groups and the Productivity Change in efficiency of the two-stage are verified. The empirical results from 2008 to 2014 on the efficiency of the market in efficiency mean better than production stage, but in Malmquist Index growth in empirical results of the production stage is better than market stage, and Verification results no significant unable to overthrow the two-stage hypothesis nothingness differences. Compare the two groups in productivity of Malmquist Index, the manufacture & package industry in the production stage and market stage better than IC design industry, manufacture & package industry representatives manufacturing productivity improvement is slightly better than the IC design industry from 2008 to 2014.

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Liu, Jing-Ru, and 劉靜如. "An Application of Data Envelopment Analysis Method in theRobust Design of Multiple Dynamic Quality Characteristics." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/91188589503917001149.

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碩士
淡江大學
統計學系碩士班
98
The thesis provides a robust design to identify the optimal combination of factor levels for dynamic systems with multiple quality characteristics. The reciprocal coefficient of variation is used to compute the relative efficiency of decision making unit in the data envelopment analysis approach, in which the constant return to scale model is considered. The proposed method makes free of the limitations of Taguchi method, it can reach a robust design when the relationship of the output of quality characteristic and signal factors is nonlinear. The use of the proposed method is illustrated via an example regarding the manufacturing of temperature control circuit.

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Chen, Wann-Jin, and 陳萬金. "Using Dynamic Network Data Envelopment Analysis Method to Study Operating Performance in Taiwan’s Telecommunication Operators." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/20294842625410680444.

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碩士
東吳大學
EMBA高階經營碩士在職專班
103
The study is using Dynamic Network Data Envelopment Analysis method (DN-DEA) to evaluate the operating performance of six telecom carries in Taiwan during 2006 to 2013. This study mainly analysis are based on two stage of production efficiency and market efficiency as well as Malmquist Productivity Index to measure the performance of each DMU per year. For this study, there are adopted labors, fixed assets and marketing expenses as input variables, and output variable is operating profit in production efficiency stage, operating income as a link for cross-stage. In market efficiency stage’s output variable is earnings per share (EPS), net profit as Carry Over in cross-period. After the empirical analysis to summary the results as below listed： 1.The average score for each DMU in overall efficiency, Senao International’s score is highest which is 1, so ranked number 1, and Taiwan Star is lowest which score is 0.0091, and ranked sixth. 2.During 2006 to 2013 this period, there are not only Chunghwa Telecom, Taiwan Mobile, Asia-Pacific Telecommunity and Senao International shown progress in Total Factor Productivity Index, Asia-Pacific Telecommunity’s performance is best; but also the performance in the market efficiency stage is better than production stage. 3.According to the BCG matrix analysis during 2006 to 2013, the overall operating performance shown that there are three companies was differentiated to Star firm, which were DMU2, DMU4, DMU6. In addition, DMU3 was differentiated to Question Mark firm. And DMU1 was differentiated to Cash Cow firm. And last DMU5 was differentiated to Dog firm.

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LI, SHIH-WEN, and 李世文. "Using Dynamic Data Envelopment Analysis to Evaluating the Operating Performance of IC Design Industry in Taiwan." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/97301165086762184849.

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碩士
佛光大學
應用經濟學系
104
The semiconductor industry in Taiwan progresses rapidly in recent years, and the IC design industry is regarded as a key industry in this field. In order to survive from the intense competition with other competitors around the world, the assessment of business performance in this industry is become more and more crucial. This paper targets 47 publicly traded companies in IC design industry in Taiwan, applying the method of dynamic two-stage data envelopment analysis (DEA) to assess the production efficiency、market efficiency and operational efficiency of IC design industry between 2010 and 2014.Furthermore, study the variation of total factor productivity The negative values of input variables and output variables are modified according to the research letters of Ali and Seiford(1990).The result shows that DMU5、DMU22、DMU30 and DMU34 have better efficiency among the 47 companies, and DMU2 has the worst efficiency. Meanwhile, DMU19、DMU18 and DMU17 improve the most in total factor productivity , while DMU2、DMU24 and DMU43 are getting worse severely. At the end of this paper, applying the BCG matrix to provide useful information to help the IC design companies making the right decision to improve the efficiency.

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Huang, Ya-Ling, and 黃雅玲. "Evaluation of Efficiency of Local Tax Administration in Taiwan-Application of Dynamic Network Data Envelopment Analysis." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/9e5dr7.

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碩士
國立臺中科技大學
財政稅務系租稅管理與理財規劃碩士班
107
Tax authorities bear the important burden of collecting taxes. The efficiency with which they collect taxes has huge impacts on the state''s finances. Therefore, all local tax authorities work hard to improve the efficiency of their collection. This paper aims to review the performance of 20 local tax authorities in various counties and cities in Taiwan over the 2015 to 2017 three-year period, using the Dynamic Network DEA and considering the carry-over of each period. In order to understand the efficiency in each production phase for each taxing authority, the tax collection process is divided into two phases: initial collection, and management thereof. The evaluation results are as follows: (I) Technical Efficiency: There were 9 counties and cities with overall relative efficiency: New Taipei City, Taipei City, Taoyuan City, Hsinchu City, Taichung City, Kaohsiung City, Chiayi City, Hualien County, and Penghu County. The worst was Chiayi City. (II) Carry-over: There are 4 counties and cities (Yunlin County, Chiayi County, Pingtung County, and Taitung County) whose three-year performance was poor, showing room that there is for improvement. (III) Two-Stage Performance: In the initial collection phase, the overall efficiency value is 1. From 2015 to 2017, an average of 15 counties and cities operated with relative efficiency. In the tax management phase, from 2015 to 2017, tax authorities from an average of 11 counties and cities had relatively better performance than during the initial collection phase. (IV) Observing the investment items should be saved and the output items should be increased in part from the average of 104 years to 106 years. In the worst stage of the levy, the county is Yunlin County. If the efficiency of the collection is to be improved, the Yunlin County Taxation Bureau The direct manpower and indirect manpower in the input should be reduced by 13.21% (14.35) and 5.24% (1.23) respectively. The direct collection cost and indirect collection cost should be reduced by 26.43% (11.7 million) and 0.87% respectively. (0.1 million yuan), the number of transfer tax collections in the output item should be increased by 0.04% (8 pieces), and the number of unpaid items should be reduced by 19.17% (5,723); The worst county is Jiayi County. To improve the efficiency of the collection, the direct manpower and indirect manpower of the Chiayi County Finance and Taxation Bureau should be reduced by 43.8% (11.21) and 34.45% (2.01) respectively. And the indirect collection costs should be reduced by 38.18% (4.3 million yuan) and 55.03% (4.7 million yuan) respectively, and the number of items held in the output items should be increased by 40.1% (9,364). The empirical results of this paper can provide the good indicators of the efficiency of the tax authorities in different stages, and the source and responsibility of inefficiency, which can help the performance of local tax authorities improve.

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Ju, Szu Ming, and 施敏茹. "A Study of Performance Analysis of Networking Industry in Taiwan by Application of Two-stage Dynamic Network Data Envelopment Analysis Method." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/38031515874782609852.

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碩士
東吳大學
EMBA高階經營碩士在職專班
103
This study adopted Dynamic Network DEA approach of Two-Stage Method to evaluate the operation performance of 16 listed company of network industry in Taiwan during 2009 to 2013. The study mainly analysis are based on two stage of productivity efficiency and marketing efficiency as well as Malmquist Productivity Index to measure the efficiency and productivity of each DMU per year. For this study, there are adopted fixed assets, labors and marketing fee as input variables, and sales revenue and equity as output variables in production stage, then output EPS in marketing stage, and carry over profit in interperiod. After analysis each DMU’s relativity in two stages of production and marketing as well as cmltmalmquist during 2009 to 2013, there are three conclusions as below: 1. The overall performance during 2009 to 2013: Abocom, Draytek and Senao were ranking number 1, as they got overall performance value is 1, and that is meaning the performance achievement is best. Another ranking are No. 4 Pesi 0.9166, No. 5 Alpha 0.8475, No. 6 Arcadyan 0.8313, No. 7 Zerone 0.7778, No. 8 SMC 0.7002, No. 9 Cyber TAN 0.5042, No. 10 Gemtek 0.4731, No. 11 Zinwell 0.473, No. 12 Cameo 0.3812, No. 13 Sercomm 0.338, No. 14 Dlink 0.2766, No. 15 Edimax 0.0532 and last one Azurewave 0.0241。 2. The stage of production efficiency is better than marketing efficiency in significant deviation during 2009 to 2013. 3. To summarized the overall performance during 2009 to 2013, and base on that data to make BCG Matrix, the result shown that there were three companies be differentiated to Star firm, which were Alpha, Draytek and Senao. In addition, SMC, CyberTan, Arcadyan, Abocom, Pesi and Zerone those six companies were differentiated to Question Mark firm. And DLink, Sercomm were differentiated to Cash Cows firm. And last five companies Gemtek, Cameo, Azurewave, Zinweill and Edimax were differentiated to Dogs firm. The conclusion of overall performance during 2009 to 2013, which is shown that whatever capital or scale is bigger or smaller, labors are more or less, that would not influence about the performance.

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38

Tseng, Wan-Ling, and 曾婉玲. "The Study of the Operation Performance of Securities Firm in Taiwan-by Dynamic Network Data Envelopment Model to Analysis." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/zs2u7v.

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碩士
東吳大學
EMBA高階經營碩士在職專班
103
The purpose of this studay is to evaluate the performace of securitites firm in Taiwan. Furthermore, it provides suggestion for top management when making decision. By selecting data from 2009 to 2013 and using Dynamic Network DEA and Malmquist Productivity Index to measure the performance of securitites firm in Taiwan. Finally, we also use Wilcoxon Scores Test to evaluate the performance between divisions. The input variables are Fixed assets, Stockholders' Equity and the number of employees，output variable is EPS, sales revenue as for cross-stage Link, profit as cross-period the Carry Over. The empirical results are summarized as follows, 1.It found that the Dynamic Network DEA was unable to overthrow a hypothesis of two-stage efficiency with no difference , the Malmquist index change of catch-up effect was unable to overthrow a hypothesis of two-stage efficiency with no difference, but the changes of frontiner-shift effect and changes of total effiency in market efficiency stage which is better than production efficiency stage. 2.The BCG matrix set that the longitudinal coordinates was averge efficiency score and horizontal coordinates was Malmquist index. We found that the DMU3、DMU4、DMU5、DMU7、DMU8、DMU12 and DMU15 were stars in overall efficiency, DMU1、DMU2、DMU13、DMU14 were question mark ,the DMU16 was cash caws, and the DMU6、DMU9、DMU10、DMU11 were dogs.

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39

Hsieh, Jin-Chi, and 謝錦淇. "Using Dynamic Network Data Envelopment Analysis Method to Study the Evaluation of Management Performance of Mobile Manufactory in Taiwan." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/41772167294177323262.

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碩士
東吳大學
EMBA高階經營碩士在職專班
103
In this study, use the Dynamic Network Date Envelopment Analysis Method (DN-DEA) to study the evaluation of management performance of mobile manufactory in Taiwan. We aid to discuss the management implications with BCG matrix model, and wish to provide the mobile manufacturers managers a reference to make the business strategy. DN-DEA study mainly discuss Taiwanese mobile phone major own-brand and / or OEM manufacturers, from the performance evaluation of 2009-2013. The each DMU is divided into stages of production efficiency and marketing efficiency stage. The DN-DEA method will auxiliary with Malmquist index analysis to investigate the difference of the results of each DMU in different stages and different period. The Wilcoxon test was used to test the DN-DEA and Malmquist Index results, the each DMU efficiency are whether different in stage performance and MPI changes. In this study will select input items are fixed assets, R&D expenses and the number of employees, output item in production stage is operation incomes, the number of patents as for cross-stage Link, with an average share price and earnings per share (EPS) of output items, net profit as cross-period the Carry Over. It found that the efficiency of production efficiency stage better than the marketng efficiency stage in period of 2009-2013, the Malmquist index change of catch-up effect in market efficiency stage better than production efficiency stage, but the changes of frontiner-shift effect and changes in total effiency were unable to overthrow a hypothesis of two-stage efficiency no difference. The BCG matrix set that the longitudinal coordinates was averge efficiency score and horizontal coordinates was Malmquist index. We found that the DMU3, DMU5 and DMU7 were stars in overall efficiency, the DMU4, DMU6 and DMU8 were cash caws, and the DMU1 and DMU2 were dogs. The DMU3 and DMU5 were stars in production efficiency stage, the DMU2, DMU6, DMU7 and DMU8 were question mark, the DMU4, DMU6 and DMU8 were cash caws, the DMU1 was dogs. The DMU3, DMU5 and DMU7 were stars in marketing efficiency stage, the DMU1 was question mark, the DMU4 was cash caws, the DMU2 was dogs.

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40

Wu, Kuo-Feng, and 吳國鳯. "A Dynamic Data Envelopment Analysis of Individual Performance Appraisal and Sequential Change: Model Development and an Empirical Study of the Human Capital Efficiency Model." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/36760997240355394890.

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博士
國立中央大學
人力資源管理研究所
102
Performance appraisal is the formal activity of organizations to assess employee’s performance, which achieved by large amount of resources and efforts invested by individuals as well as organizaitons. In human resource practices and empirical studies, however, the concepts of input and output related to individual performance have not been taken into account in performance evaluation procedures yet. Moreover, there are also very few research conducting dynamic trend analyses in performance overtime, as the result of ignoring the cost-benefit aspect and dynamic change in empirical analysis. Therefore, the aim of the research is to build a quantitative model for employee performance evaluation by introducing data development analysis. Firstly, this research presents the concept and principle of data development analysis and explains the feasibility of applying this approach to performance evaluation. Secondly, in model development, the personnel data related to performance and salary information over twelve months period provided by the researched company are used. The factors of human capital and job involvement are considered as inputs and linking variable; the employees’ performance score over twelve-month period is considered as output. This research used non-oriented dynamic slacks-based measure model and non-oriented super slacks-based measure model to test the research purpose. Sixty-eight samples were used to test the model. They are seniority between two-one hundred and fifty one months, and eighteen of them with efficiency scores equal to 1. By using Super Slacks-Based Model, the researcher can sort the order of efficiency from the employees whose efficiency score equal to 1. The study found the employee seniority longer the efficiency score well. The employees with average Eighteen months seniority have the highest efficiency; Furthermore, efficiency of dynamic slacks-based omeasure model is higher than slacks-based measure model. This supports the hypothesis that work efficiency increases with the accumulation of working experiences. Lastly, the company can further develop human capital solutions based on employee efficiency. The employees with high efficiency can be included in job rotation or succession planning; the employees with lower efficiency can be improved by reduce overtime; reduce skill allowance, increase training and coaching. The study extends the application of data development analysis from macro level to micro level. By non-radial adjustment of the differences in input variable, output variable, increasing input or reducing performance score improves the overall efficiency. The result not only provides objective data in HR cost and performance evaluation for line managers, but also provides a specific quantitative model and measurement technique for performance evaluation cost and efficiency. It is suggested that the approach can be further extended and applied to the field of human resources management in the future. Keyword: data envelopment analysis, dynamic slacks-based measure, super slacks-based-measure, human capital, job involvement, performance score

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41

HSIEH, KAI-AN, and 謝凱安. "A Study on the Deferred Effect of R & D for Operating Performance Evaluation using Dynamic Data Envelopment Analysis －A case for Taiwan’s Semiconductor Industry." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/97367864556404831098.

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碩士
中華大學
科技管理學系碩士班
102
The related research in the past evaluated a company’s operating performance mainly based on the data envelopment analysis. However, the approach may not be completely credible because it only measures the efficiency according to the income during the same period of time and is not able to deal with the deferred effect of R&D. And R&D is a company’s core value although there might not be an outcome in the same period of time whether it is working as a subcontractor or researching and developing. Therefore, we would like to evaluate the operating performance of the semiconductor industry with the deferred effect of R&D using the dynamic data envelopment analysis in this study. This study evaluates the performance of 51 semiconductor manufacturing companies in Taiwan from year 2005 to 2013. The data comes from TEJ; the inputs are number of employees, and fixed asset; the outputs are operating revenue and aggregates enterprises in ROC approved the number of patents uses M-Trends patent retrieval system each year. And we will take a part out of the income as the R&D expenses to be the intervening variable in the next season. We used the regression analysis at first to discover that the deferred effect is 3 years long, and then we evaluated the companies with the dynamic data envelopment analysis, providing an inefficiency DMU the improvement strategies in the future. Finally, we used Kruskal-Wallis to overlook the DMU throughout the supply chain in order to find out the difference in their performance. The results indicate that the IC designing industry is the most efficient, while the manufacturing industry is the second one, and the assembly and testing industry is the most inefficient.

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42

Wu, Show-Jung, and 吳紹榕. "A Study on the Assessment of Business Performance of Machinery Industry in Taiwan and Mainland China with the Application of Dynamic Data Envelopment Analysis(DEA)." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/88884848980391666239.

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碩士
元智大學
管理碩士在職專班
104
This study uses a total of 136 decision making units(DMU) among the listing companies in machinery industry in Taiwan and mainland as the subject, uses dynamic data envelopment analysis to analyze the business efficiency of each decision making unit from 2010 to2014, and uses the methods such as slack variable analysis and sensitivity analysis to discuss the effect of input item and output item on the efficiency value. It also uses the financial statements from 2009 to 2014 of each unit as the analysis data and then puts forward the proper suggestions, and thereby promotes the operational performance of machinery industries in Taiwan to reach the target of sustainable operation. The empirical results find the efficiency percentage of each decision making unit in the overall DMUs from 2010 to 2014: (1) under the total technical efficiency(TE), the relatively efficient decision making units account for 11.8%, 8.1%, 2.9%, 5.1% and 8.8% of the overall DMUs respectively. Under the pure technical efficiency(PTE), the relatively efficient decision making units account for 14.7%, 12.5%, 3.7%, 5.9% and 9.6% of the overall DMUs respectively, and under the scale efficiency(SE), the relatively efficient decision making units account for 52.2%, 50.7%, 36.8%, 41.2% and 35.3% of DMUs respectively; (2) through slack variable analysis, the basis of input and output increase and decrease can be provided for the relatively inefficient decision making units; (3) by virtue of sensitivity analysis, it can be learnt that the business cost influences the efficiency value of DMUs is the most compared to other input variables, as the basis for the decision making unit managers to improve in priority.

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43

CHEN, CHIEN-SHOU, and 陳建守. "Additive Data Envelopment Analysis." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/14990666397125906167.

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碩士
國立高雄應用科技大學
工業工程與管理系碩士在職專班
104
Additive data envelopment analysis proposed by Charnes et al. (1985) is a non-radial measure. We study the problems of unit invariant, translation invariant, reference units. We also compare the additive data envelopment analysis with the measure of inefficiency proportions and range adjusted measure of inefficiency proposed by Cooper et al. (1999) regarding unit invariant, translation invariant, reference units. An example is then presented to show the dfferences among the additive data envelopment analysis, measure of inefficiency proportions and range adjusted measure of inefficiency.

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44

Lertworasirikul, Saowanee. "Fuzzy Data Envelopment Analysis (DEA)." 2002. http://www.lib.ncsu.edu/theses/available/etd-05032002-101350/unrestricted/etd.pdf.

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45

Chen, Wei-Ting, and 陳威廷. "Two-stage Data Envelopment Analysis." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/kybr3x.

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碩士
國立高雄應用科技大學
工業工程與管理系碩士在職專班
104
This study analyzes the constant returns to scale two-stage system data envelopment analysis. We consider the the simple two-stage system, where the first division consumes the single exogenous input to produce the intermediate product, which in turn is consumed by the second division to produce the final output. An example is presented to calculate the system efficiencies and the first stage efficiencies and second stage efficiencies. The efficiencies are compared with the Charnes, Cooper and Rhodes data envelopment analysis model from the independence viewpoint.

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46

Kung, Chun-Mei, and 龔春美. "Slacks-based Data Envelopment Analysis." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/01264435671190530409.

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碩士
國立高雄應用科技大學
工業工程與管理系碩士在職專班
104
Slacks-based data envelopment analysis is a non-radial measure. We study the Russell measures of efficiency proposed by Färe abd Lovell (1978). Three forms, input model, output model and input-output model are studied in the paper. The behaviors of the strong efficiency DMUs, weak efficiency DMUs and inefficiency DMUs are analyzed. An example is then presented to show the differences among the input model, output model and input-output model for the strong efficiency DMUs, weak efficiency DMUs and inefficiency DMUs.

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47

HUANG, CHI-FU, and 黃祺富. "Single Input Data Envelopment Analysis." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/57870777386382763170.

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碩士
國立高雄應用科技大學
工業工程與管理系碩士在職專班
104
This study analyzes the measured efficiency via a data envelopment analysis with single input and two outputs. There is a linear relationship between input and output. We have two forms of measured efficiencies. One is that the mutliplers of the outputs are not zero. All the decision making units of the measured efficiencies are one. The other one is that the one of mutliplers of the outputs is zero. The decision making units of the measured efficiencies are not all one. An example is then presented to show the differences among the the mutliplers of the outputs, and the measured efficiencies.

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48

Shyu, Tzyy-Tyng, and 徐子婷. "An Intergrated Fuzzy Data Envelopment Analysis Model." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/49614702037504122733.

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碩士
國立交通大學
交通運輸研究所
97
Data envelopment analysis (DEA) proposed by Charnes et al. (1978) has been extensively applied to performance evaluation of the organizations in many fields. However, in some cases, input and output can not be measured crisply. Thus, a fuzzy DEA model can more realistically and flexibly represent real-world problems and then further enhance the applicability of conventional (crisp) DEA models. Numerous fuzzy DEA models have been proposed. However, most of them employed two crisp DEA models to separately determine the evaluation results for the upper and lower bound of under a specific α-cut level. After repeated applications of the models under a sufficient large number of different α-cut levels, the evaluation result is represented by a re-formulated fuzzy number. At last, a fuzzy ranking method will be required to rank the fuzzy performances of various decision making units (DMU). To overcome abovementioned complex procedure and inconsistent results may be obtained by two separately DEA model, this study aims to propose an integrated fuzzy DEA model to optimize both upper and lower bound of a α-level simultaneously and to delivery a crisp efficient frontier without the need of additional fuzzy ranking method. The core logic of the model is to combine both bounds in the objective function or constraints by introducing self-determined weights under various α-cut levels. Therefore, the proposed model enables decision makers to obtain the relative efficiency of DMU directly without using any fuzzy ranking method. The mathematical formulation of the proposed model has been carefully derived. To investigate the properties and applicability of the proposed model, a numerical example and a real case study on 35 intercity bus operators are conducted. Additionally, comparisons to the results obtained by the model proposed by Leon et al. (2003) are also made. The results show that the proposed model can surely delivery a crisp evaluation result and exhibit higher benchmarking power than the Leon et al.’s model. Improvement strategies for the intercity bus operators are also proposed based on slack values determined.

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49

Liu, Shiang-Tai, and 劉祥泰. "Fuzzy Data Envelopment Analysis: Solution and Application." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/69511707263465556823.

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博士
國立成功大學
工業管理學系
87
Since its development in 1978 by Charnes, Cooper, and Rhodes data envelopment analysis has been widely applied to different areas for evaluating the efficiency of multiple-input and multiple-output decision making unit (DMU). The existing DEA models are limited to crisp data. This research proposes a procedure to measure the efficiencies of DMUs with fuzzy observations. The idea is based on the -cuts and extension principle to reduce a fuzzy DEA model to a family of crisp DEA models, which can be described by a pair of parametric programs, to find the lower and upper bounds of the efficiency measures at  level. From different possibility levels , the membership functions can be derived correspondingly. Due to the efficiency measures are expressed by membership functions rather than crisp value, more information is provided for management. The solution procedures for efficiency improvement, technical efficiency, and scale efficiency in fuzzy DEA model are also proposed. Since the efficiencies calculated are also fuzzy numbers, appropriate ranking methods are required to determine the order of each DMU. Two methods for ranking are discussed in this study. One is the area measurement method which does not need to know the exact form of the membership functions. Another is the maximum set and minimum set method which usually is applied when the membership functions are known. Via a skillful modeling technique, the requirement of the membership functions is avoided. The evaluation of Taiwan’s twenty-four university libraries with missing data and the efficiency measures of Taiwan’s fifteen machinery firms with linguistic terms are illustrated, respectively, to demonstrate how the fuzzy DEA model is applied to calculate the efficiency scores. It is shown that the fuzzy DEA model is an effective approach to measure the relative efficiencies under fuzzy environment.

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Tsai, Meei-ing, and 蔡美英. "An Innovative Research on Data Envelopment Analysis." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/ptp7fa.

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Abstract:

博士
義守大學
工業管理學系
105
Data envelopment analysis (DEA) is used to evaluate the efficiency of decision-making units (DMUs), but sometimes the number of DMUs or the number of inputs and outputs may vary. Therefore, sensitivity analysis is often performed to investigate how these variations affect DEA outcomes. Sensitivity analysis allows decision-makers to re-examine all the important decision variables. When the data input to a DEA model are uncertain, sensitivity analysis becomes crucial. Using sensitivity analysis, this study investigated how changes in the input or output of each DMU affected the assessment results if the other conditions were unchanged. First, the stability radius was clearly defined. Second, this study proposed innovative methods to assess the stability radii of DMUs in the DEA/Charnes–Cooper–Rhodes and DEA/common weights models. Mathematical proof of the proposed methods is provided, and real data from 16 firms in the Taiwanese textile industry are used as a case study to explain how the methods can be applied in real situations. The study revealed that sensitivity analysis of each DMU can be performed by assessing the stability radius of the DMU. Additionally, the stability radius can be used as a criterion to re-rank multiple efficient DMUs and hence increase the subtlety of an efficiency evaluation.

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Dissertations / Theses on the topic 'Dynamic Data Envelopment Analysis'

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