Relevant bibliographies by topics / Dynamic Data Envelopment Analysis

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  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Dynamic Data Envelopment Analysis'

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Published: 4 June 2021
Last updated: 14 February 2022

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Journal articles on the topic "Dynamic Data Envelopment Analysis"

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SENGUPTA, JATI K. "Dynamic data envelopment analysis." International Journal of Systems Science 27, no. 3 (March 1996): 277–84. http://dx.doi.org/10.1080/00207729608929214.

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Kao, Chiang. "Dynamic data envelopment analysis: A relational analysis." European Journal of Operational Research 227, no. 2 (June 2013): 325–30. http://dx.doi.org/10.1016/j.ejor.2012.12.012.

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Amirteimoori, Alireza. "Data envelopment analysis in dynamic framework." Applied Mathematics and Computation 181, no. 1 (October 2006): 21–28. http://dx.doi.org/10.1016/j.amc.2006.01.003.

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Li, Ling, and Fengshan Wang. "Hybrid Dynamic Network Data Envelopment Analysis." Discrete Dynamics in Nature and Society 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/989581.

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Conventional DEA models make no hypothesis concerning the internal operations in a static situation. To open the “black box” and work with dynamic assessment issues synchronously, we put forward a hybrid model for evaluating the relative efficiencies of a set of DMUs over an observed time period with a composite of network DEA and dynamic DEA. We vertically deal with intermediate products between divisions with assignable inputs in the network structure and, horizontally, we extend network structure by means of a dynamic pattern with unrelated activities between two succeeding periods. The hybrid dynamic network DEA model proposed in this paper enables us to (i) pry into the internal operations of DEA by another network structure, (ii) obtain dynamic change of period efficiency, and (iii) gain the overall dynamic efficiency of DMUs over the entire observed periods. We finally illustrate the calculation procedure of the proposed approach by a numerical example.
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Sengupta, Jati K. "A dynamic efficiency model using data envelopment analysis." International Journal of Production Economics 62, no. 3 (September 1999): 209–18. http://dx.doi.org/10.1016/s0925-5273(98)00244-8.

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Jafarian-Moghaddam, Ahmad Reza, and Keivan Ghoseiri. "Fuzzy dynamic multi-objective Data Envelopment Analysis model." Expert Systems with Applications 38, no. 1 (January 2011): 850–55. http://dx.doi.org/10.1016/j.eswa.2010.07.045.

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Ito, Tsutomu, Katsuhiko Takahashi, Katsumi Morikawa, Takao Ito, Rajiv Mehta, Makoto Sakamoto, and Satoshi Ikeda. "Measuring Efficiency using Dynamic Network-Based Data Envelopment Analysis." Journal of Robotics, Networking and Artificial Life 4, no. 3 (2017): 254. http://dx.doi.org/10.2991/jrnal.2017.4.3.16.

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Afzalinejad, Mohammad, and Zahra Abbasi. "A slacks-based model for dynamic data envelopment analysis." Journal of Industrial & Management Optimization 15, no. 1 (2019): 275–91. http://dx.doi.org/10.3934/jimo.2018043.

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Zhang, Linyan. "Dynamic network data envelopment analysis based upon technology changes." INFOR: Information Systems and Operational Research 57, no. 2 (November 3, 2017): 242–59. http://dx.doi.org/10.1080/03155986.2017.1393730.

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Palečková, Iveta. "Banking Efficiency in Visegrad Countries: A Dynamic Data Envelopment Analysis." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 63, no. 6 (2015): 2085–91. http://dx.doi.org/10.11118/201563062085.

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Dissertations / Theses on the topic "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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Books on the topic "Dynamic Data Envelopment Analysis"

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Sengupta, Jati K. Dynamics of Data Envelopment Analysis. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8506-4.

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Sengupta, Jatikumar. Dynamics of data envelopment analysis: Theory of systems efficiency. Dordrecht: Kluwer Academic Publishers, 1995.

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Emrouznejad, Ali. The assessment of dynanic efficiency of decision making units using data envelopment analysis. [s.l.]: typescript, 2000.

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Cook, Wade D., and Joe Zhu, eds. Data Envelopment Analysis. Boston, MA: Springer US, 2014. http://dx.doi.org/10.1007/978-1-4899-8068-7.

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Zhu, Joe, ed. Data Envelopment Analysis. Boston, MA: Springer US, 2015. http://dx.doi.org/10.1007/978-1-4899-7553-9.

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Zhu, Joe, ed. Data Envelopment Analysis. Boston, MA: Springer US, 2016. http://dx.doi.org/10.1007/978-1-4899-7684-0.

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Allen, R. Increasing envelopment in data envelopment analysis. Coventry: University of Warwick.Warwick Business School Research Bureau, 1994.

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Kao, Chiang. Network Data Envelopment Analysis. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-31718-2.

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Wen, Meilin. Uncertain Data Envelopment Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-43802-2.

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Kerpen, Philip. Praxisorientierte Data Envelopment Analysis. Wiesbaden: Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-15460-8.

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Book chapters on the topic "Dynamic Data Envelopment Analysis"

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Sengupta, Jati K. "Dynamics of Efficiency." In Dynamics of Data Envelopment Analysis, 38–85. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8506-4_2.

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Sengupta, Jati K. "Theory of DEA Models." In Dynamics of Data Envelopment Analysis, 1–37. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8506-4_1.

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Sengupta, Jati K. "Technical Change and Efficiency." In Dynamics of Data Envelopment Analysis, 86–132. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8506-4_3.

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Sengupta, Jati K. "Stochastic Efficiency." In Dynamics of Data Envelopment Analysis, 133–78. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8506-4_4.

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Sengupta, Jati K. "Theory of Systems Efficiency." In Dynamics of Data Envelopment Analysis, 179–215. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8506-4_5.

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Sengupta, Jati K. "Entropy, Efficiency and the Index Numbers." In Dynamics of Data Envelopment Analysis, 216–49. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8506-4_6.

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Sengupta, Jati K. "Economic Theory and DEA." In Dynamics of Data Envelopment Analysis, 250–76. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8506-4_7.

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Sengupta, Jati K. "Frontiers of Efficiency Research." In Dynamics of Data Envelopment Analysis, 277–84. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8506-4_8.

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Fukuyama, Hirofumi, and William L. Weber. "Measuring Bank Performance: From Static Black Box to Dynamic Network Models." In Handbook of Operations Analytics Using Data Envelopment Analysis, 241–66. Boston, MA: Springer US, 2016. http://dx.doi.org/10.1007/978-1-4899-7705-2_10.

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Wu, Yueh-Cheng, Qian Long Kweh, Wen-Min Lu, Shiu-Wan Hung, and Chia-Fa Chang. "Capital Stock and Performance of R&D Organizations: A Dynamic DEA-ANP Hybrid Approach." In Handbook of Operations Analytics Using Data Envelopment Analysis, 167–86. Boston, MA: Springer US, 2016. http://dx.doi.org/10.1007/978-1-4899-7705-2_7.

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Conference papers on the topic "Dynamic Data Envelopment Analysis"

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Li, Ling, Xuliang Lv, Weidong Xu, Zhixin Zhang, and Xianhui Rong. "Dynamic super-efficiency interval data envelopment analysis." In 2015 10th International Conference on Computer Science & Education (ICCSE). IEEE, 2015. http://dx.doi.org/10.1109/iccse.2015.7250245.

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Lin, Ruiyue. "Mutual Fund Performance Dynamic Evaluation Using Data Envelopment Windows Analysis." In 2009 International Conference on Management and Service Science (MASS). IEEE, 2009. http://dx.doi.org/10.1109/icmss.2009.5302087.

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Xili Chen, XinChang Hao, Hao Wen Lin, and Tomohiro Murata. "Rule driven multi objective dynamic scheduling by data envelopment analysis and reinforcement learning." In 2010 IEEE International Conference on Automation and Logistics (ICAL). IEEE, 2010. http://dx.doi.org/10.1109/ical.2010.5585316.

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Torres, Lovia Mariana Souza, Mariana Rodrigues de Almeida, and Joao Carlos Soares de Mello. "A literature review of dynamic and network data envelopment analysis models in the energy sector." In 2018 Simposio Brasileiro de Sistemas Eletricos (SBSE) [VII Brazilian Electrical Systems Symposium (SBSE)]. IEEE, 2018. http://dx.doi.org/10.1109/sbse.2018.8395605.

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Eren, Miraç, and Selahattin Kaynak. "Analysis of Innovation Performances of European Union Member Countries." In International Conference on Eurasian Economies. Eurasian Economists Association, 2017. http://dx.doi.org/10.36880/c08.01852.

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Together with the transition from the industrial society to the information society, Innovation at the forefront of the countries' development arguments has strategic significance for companies, industries, and countries and it is emerging as the main element of being in the market. Also, Innovation has vital importance in determining the policies of countries because of increasing social welfare and living standards of individuals. Countries having effective innovation policies and systems are rapidly advancing in the development race. Even in countries with low innovation performance, demand for innovative products and services are high. According to the Lisbon Strategy, it is important to know the innovation performances of the member countries of the European Union, which see the innovation as the basic element of economic growth, and to measure their activities. For these reasons, the purpose of this research is to analyze the innovation performances of the EU member countries. So, Data Envelopment Analysis (DEA) to measure the performance of each member country against the other member countries in the group consisting of European Union countries was considered. Therefore, the variables that are used in determining the level of innovation of the member states of the European Commission were respectively considered as Input Variables (Human Research, Research Systems, Finance, and Support) and Output Variables (Innovators, Economic effects). Tone (2001)'s Slack-Based Model and Lotfi & Poursakhi (2012)'s dynamic DEA Model was considered together to measure the efficiency of the countries in few periods instead of a single period.
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Sun, Chaohao, and Xi Gui. "Data Envelopment Analysis: Surveys." In 2011 International Conference on Management and Service Science (MASS 2011). IEEE, 2011. http://dx.doi.org/10.1109/icmss.2011.5998876.

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Wei, Quanling, and Hong Yan. "Data Envelopment Analysis Assessment Machine." In Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06). IEEE, 2006. http://dx.doi.org/10.1109/icdmw.2006.55.

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Shingo Aoki, Kotaro Toyozumi, and Hiroshi Tsuji. "Visualizing method for data envelopment analysis." In 2007 IEEE International Conference on Systems, Man and Cybernetics. IEEE, 2007. http://dx.doi.org/10.1109/icsmc.2007.4413784.

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Russo, F., and C. Rindone. "Data envelopment analysis for planning emergency." In The Sustainable City 2012. Southampton, UK: WIT Press, 2012. http://dx.doi.org/10.2495/sc120912.

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Russo, F., and C. Rindone. "Data Envelopment Analysis (DEA) for evacuation planning." In RISK ANALYSIS 2010. Southampton, UK: WIT Press, 2010. http://dx.doi.org/10.2495/risk100391.

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Reports on the topic "Dynamic Data Envelopment Analysis"

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Inman, Oliver. Technology Forecasting Using Data Envelopment Analysis. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.2678.

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Chapman, Robert E. Using data envelopment analysis to assess performance of manufacturing extension centers. Gaithersburg, MD: National Institute of Standards and Technology, 1998. http://dx.doi.org/10.6028/nist.ir.6198.

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Retzlaff-Roberts, Donna, Jose H. Dula, and James Van Scotter. Classification and Selection for Personnel Applications Using a Data Envelopment Analysis Approach. Fort Belvoir, VA: Defense Technical Information Center, December 2002. http://dx.doi.org/10.21236/ada409042.

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Charnes, A., and L. Neralic. Sensitivity Analysis of the Simultaneous Proportionate Change of Inputs and Outputs in Data Envelopment Analysis. Fort Belvoir, VA: Defense Technical Information Center, August 1991. http://dx.doi.org/10.21236/ada254821.

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Charnes, A., W. W. Cooper, and R. M. Thrall. A Structure for Classifying and Characterizing Efficiencies and Inefficiencies in Data Envelopment Analysis. Fort Belvoir, VA: Defense Technical Information Center, September 1986. http://dx.doi.org/10.21236/ada176141.

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Nin Pratt, Alejandro, and Héctor Valdés Conroy. After the Boom: Agriculture in Latin America and the Caribbean. Inter-American Development Bank, December 2020. http://dx.doi.org/10.18235/0002955.

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The convergence of a favorable macroeconomic environment and high prices of primary commodities between 2000 and 2011 contributed to the best performance of agriculture in Latin America and the Caribbean (LAC) since the 1980s, with steady growth of total factor productivity (TFP) and output per worker and a reduction in the use of input per worker. The end of the upward phase of the commodity cycle in 2011 together with less favorable external markets and a deterioration of the policy environment in several countries, motivates us to revisit the situation of agriculture in LAC in recent years to analyze how these changes have affected its performance. This study applies a framework that uses index numbers together with data envelopment analysis (DEA) to estimate levels of productivity and efficiency, incorporating technical change together with technical (TE) and environmental efficiency (EE) into the decomposition of TFP. The EE index adjusts the TFP measure for pollution, treating GHG emissions as a by-product of the desired crop or livestock outputs. TFP and efficiency of crop and livestock sub-sectors was calculated for 24 LAC countries from 2000 to 2016. Our results show that the period of fast agricultural growth in LAC, driven by technical change and resource reallocation, transformed agriculture in the region leaving it in a better position to cope with the more unfavorable regional macroeconomic environment and the less dynamic global markets observed after 2011.
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Ahn, T., A. Charnes, and W. W. Cooper. A Note on the Efficiency Characterizations Obtained in Different DEA (data Envelopment Analysis) Models. Fort Belvoir, VA: Defense Technical Information Center, June 1988. http://dx.doi.org/10.21236/ada201343.

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Charnes, A. Measuring the Impact of Advertising on Army Recruiting: Data Envelopment Analysis and Advertising Effectiveness. Fort Belvoir, VA: Defense Technical Information Center, July 1990. http://dx.doi.org/10.21236/ada236779.

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Benton, Tereca V. Data Envelopment Analysis to Assess Productivity in the United States Air Force Medical Supply Chain. Fort Belvoir, VA: Defense Technical Information Center, June 2011. http://dx.doi.org/10.21236/ada545186.

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Perez, Gonzalo, Osman Coskunoglu, and Alan W. Moore. Data Envelopment Analysis as a Tool to Evaluate Efficiency of Army Real Property Management Activities (RPMA) Spending. Fort Belvoir, VA: Defense Technical Information Center, December 1988. http://dx.doi.org/10.21236/ada205052.

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