The Envelopment and Multiplier DEA Models
Efficient and close targets in data envelopment analysis (DEA)
... In the convex VRS technology case, the application of the CT procedure to the bank branches example results (in its first step) in a set of efficient units, which are used in QHull to id[r] ...
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The role of multiplier bounds in fuzzy data envelopment analysis
... crisp DEA approach could be obtained at a cost ranging in the hundreds, tens of thousands, and millions of dollars, ...into DEA models so as to provide an alternative modeling avenue under ...fuzzy ...
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Szarvasmarhatelepek hatékonyságának elemzése Data Envelopment Analysis (DEA) segítségével
... Kulcsszavak: DEA analízis, hatékonyság, szarvasmarha ágazat SUMMARY In Hungary the dairy sector is in a long-term critical period, the stock has been in constant ...
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Data Envelopment Analysis (DEA) for the evaluation of Public Healthcare Structures.
... inefficiency of a structure from a sample examined: this rapid identification limits any possible dissolution of public resources in inefficient structures and avoids the coexistence of structures that duplicate a ...
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A general Approach to find Non-Zero Multiplier Weights in DEA
... neutral DEA models is to find a maximal element in optimal solution set for a multiplier DEA ...these models are incapable of achieving their goal for those DMUs that themselves or ...
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Advancing Data Envelopment Analysis (DEA) with a Focus on the Evaluation of Hospital Efficiencies
... The contribution of this paper is manifold. First, we address the question, whether the CCR model should be further on used as the standard model for the evaluation of constant returns to scale settings. For this reason, ...
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Using the data envelopment analysis (DEA) model to evaluate the operational efficiency
... recently, DEA had been widely patronized for performance evaluation throughout different industries of public and private sectors, especially in the fields of transportations and logistics services, such as urban ...
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Estimating the Efficient Portfolio in Non-Radial DEA and DEA-R Models
... non-parametric DEA and DEA-R methods can be of great significance in estimating ...non-radial DEA and DEA-R models. By proposing non- radial models in DEA-R when there is ...
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Calculating the scale elasticity in DEA models.
... the DEA literature the input- or output-oriented reference points defined after (14) and (15), or the radial projections, are often called ”target values” (see ...the DEA model does not explain why a unit ...
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Basic ratio-based DEA models
... ratio-based DEA (DEA-R-I) models are ...the envelopment-additive-enhanced Russell model based on the DEA-R-I form, each decision making unit is evaluated and its efficiency score is ...
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DEA Models Involving Future Performance
... DEA has been well recognized as a powerful evaluation tool, and has been applied to a wide variety of practical evaluation applications. It is a non-parametric linear programming technique that measures the ...
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Extension on Regularity Condition in DEA Models
... Data envelopment analysis (DEA) is a method to estimate the relative eciency of deci- sion making units(DMUs) performing similar tasks in a production system that consumes multiple inputs to produce ...
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Performance Evaluation of 10 Indonesian Banks Using Data Envelopment Analysis (DEA)
... caused DEA to be extraordinary. DEA will let us know the important efficiencies in banking performance; the productive efficiency, allocative efficiency and cost ...
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Measuring Bank Performance of Nepali Banks: A Data Envelopment Analysis (DEA) Perspective
... Kathmandu University, School of Management (KUSOM), Nepal. Email: [email protected] ABSTRACT: The aim of this study is to develop a performance model for measuring relative efficiency and potential improvement ...
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Ranking of major states in india using data envelopment analysis (DEA) approach
... of DEA and Stochastic Cost Frontier (SCF) Analysis. In this study, the DEA was applied to rank the states within Indian Territory based on some inputs and outputs of Factor Sector taken from the Economic ...
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An Analysis of the Efficiency of the Mauritian Banking Sector Using the Data Envelopment Analysis (DEA)
... The aim of DEA is to build up a non-parametric equation. DEA is introduced via a ratio form. Assume there are K inputs and M outputs on each N firms or commonly re- ferred as DMU’s in DEA literature. ...
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Measurement of Commercial Bank Efficiency in Ethiopia: an Application to Data Envelopment Analysis (DEA)
... Data Envelopment Analysis (DEA) have been used, with the inputs and outputs of the banks selected following the intermediation ...the DEA frontier under both input & output ...
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Measuring the Performance of Saudi Domestic Airports Using Data Envelopment Analysis(DEA)"
... Data Envelopment Analysis (DEA), based on multiple inputs, utilized by airports and multiple outputs they ...produce. DEA is a wide-spread nonparametric method, which was originally designed to ...
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Empirical Assessment of Manufacturing Companies Efficiency in Nigeria:Data Envelopment Analysis (DEA) Approach
... CONCLUSION AND RECOMMENDATION This study has robustly examined the technical efficiency of quoted manufacturing companies in Nigeria using data envelopment analysis (DEA) approach. Efficiency analysis of ...
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Stochastic Nonparametric Envelopment of Data: Combining Virtues of SFA and DEA in a Unified Framework
... Economic Research Unit, MTT Agrifood Research Finland, Luutnantintie 13, 00410 Helsinki, Finland. Tel. +358 9 5608 6309. Fax: + 358 9 5608 6264. E-mail. [email protected]. Abstract The literature of productive ...
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