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An Algorithm for Data Envelopment Analysis
INFORMS Journal on Computing, 2011The standard approach to process a data envelopment analysis (DEA) data set, and the one in widespread use, consists of solving as many linear programs (LPs) as there are entities. The dimensions of these LPs are determined by the size of the data sets, and they keep their dimensions as each decision-making unit is scored.
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Extending the frontiers of Data Envelopment Analysis
Annals of Operations Research, 1997zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Arie Y. Lewin, Lawrence M. Seiford
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On regular and parametric data envelopment analysis
Mathematical Methods of Operational Research, 2004We give a generic regularity condition under which each weakly efficient decision making unit in the CCR model of data envelopment analysis is also CCR-efficient. Then we interpret the problem of finding maximal parameters which preserve efficiency of CCR-efficient DMUs under directional perturbations as a general semi-infinite optimization problem and
Luka Neralic, Oliver Stein
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CONTRIBUTIONS TO DATA ENVELOPMENT ANALYSIS
Cybernetics and Systems, 1997Models of data envelopment analysis DEA , which have been widely used in recent times in operations research for measuring productive efficiency, are essentially based on a set of virtual multipliers, which are optimally solved for in the models. We interpret these multipliers as prices and weights and show that these interpretations allow a more ...
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Dynamic data envelopment analysis
International Journal of Systems Science, 1996Methods of data envelopment analysis that are frequently applied to measure productivity and efficiency in public sector organizations are generalized here for dynamic systems involving changes in outputs and inputs over time. Two aspects of dynamic changes are analysed here.
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2018
The outcomes from the previous chapters provide useful information from the literature of operations research and economics on measuring the performance of a set of homogenous firms with multiple input factors and multiple output factors as well as ranking and benchmarking firms.
Steven Orla Kimbrough, Hoong Chuin Lau
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The outcomes from the previous chapters provide useful information from the literature of operations research and economics on measuring the performance of a set of homogenous firms with multiple input factors and multiple output factors as well as ranking and benchmarking firms.
Steven Orla Kimbrough, Hoong Chuin Lau
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A Data Envelopment Analysis approach to Discriminant Analysis
Annals of Operations Research, 1997zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Model misspecification in Data Envelopment Analysis
Annals of Operations Research, 1997zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Tests of efficiency in data envelopment analysis
Computers & Operations Research, 1990zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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2004
In about 30 years, Data Envelopment Analysis (DEA) has grown into a powerful quantitative, analytical tool for measuring and evaluating the performance. DEA has been successfully applied to a host of many different types of entities engaged in a wide variety of activities in many contexts worldwide.
William W. Cooper +2 more
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In about 30 years, Data Envelopment Analysis (DEA) has grown into a powerful quantitative, analytical tool for measuring and evaluating the performance. DEA has been successfully applied to a host of many different types of entities engaged in a wide variety of activities in many contexts worldwide.
William W. Cooper +2 more
openaire +1 more source