DEA models
The use of supply chain DEA models in operations management: A survey
... contrary, DEA treats a DMU as a “black box” which uses inputs to produce outputs without considering the internal procedures, a usually sufficient assumption (Sexton and Lewis, ...systems, DEA models ...
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Using Non-Archimedean DEA Models for Classification of DMUs: A New Algorithm
... first DEA model was called CCR model. Since the seminal paper, a variety of DEA models has appeared in the literature as have numerous studies employing the ...various models for DEA ...
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Evaluation of Efficiency in DEA Models Using a Common Set of Weights
... ABSTRACT: Data Envelopment Analysis is a well-known OR technique for evaluating the relative efficiency of a set of similar decision making units (DMUs).In the classical DEA models, each DMU assigns weights ...
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DEA Models for the Efficiency Evaluation of System Composed of Parallel Subsystems
... present models that evaluated the efficiency of DMU which is comprised of same several parallel subsystems, the foremost contribution of our work is that we take the different importance of the subsystems into ...
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ESTIMATING RETURNS TO SCALE USING NON-RADIAL DEA MODELS
... Cooper) models respectively as the basic DEA ...of DEA literature to itself. DEA classifies DMUs to three groups according to their RTS status: Constant RTS (CRS), increasing RTS (IRS) and ...
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A new method for solving fuzzy DEA models
... In DEA, models have been formulated for evaluating eciency and ranking DMUs in var- ious elds with dierent data such as: deterministic, interval, fuzzy, ...
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DEA Models with Interval Scale Inputs and Outputs
... of ratio scale for some and interval scale for other sample DMUs. This paper unfolds as follows. In section 2, we summarize three of the initial DEA models: the CCR model (Charnes et al., 1978), the BCC ...
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Weighted Additive DEA Models Associated with Dataset Standardization Techniques
... evaluation models will escape the harms resulting from the differences in orders of magnitude and units of measurement, which makes measure indicators be commensurable and play in the fair ...evaluation ...
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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 multiple ...
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Basic ratio-based DEA models
... The DEA-R-I model was presented by Despic et ...basic DEA models such as the envelopment, additive, and enhanced Russell models will be proposed based on the DEA-R-I ...of DEA is ...
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Overall profit Malmquist productivity index under data uncertainty
... cone-ratio DEA (CR- DEA) models and those used to measure overall ...imprecise DEA (IDEA), where the input and output data lie within bounded ...
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Corporate diversification’s effects on Efficiency and productivity: case study of Manufacturing firms listed in Bursa Malaysia
... In the past few years, diversification has turned into a highly controversial issue amongst numerous managers in almost each and every business. It is contended by many that diversification is vitally important and ...
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A Note On Dual Models Of Interval DEA and Its Extension To Interval Data
... proposed DEA models have two major disadvantages: (1) In most cases, their DEA models use constant weights for all DMUs, and (2) when there are ze- ros in each input and output, their ...
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Ranking of DMUs by using TOPSIS and dierent ranking models in DEA
... Different DEA models are provided in literature for evaluating a set of homogenous DMUS in var- ious ...In DEA technique an envelope constructed through observed units, which sur- rounded the ...
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A Non-Parametric Comparison Among Firms Income Statement-Based And Balance Sheet-Based Performance
... separate models for income statement and balance sheet data will support managers to detect more precisely where improvement is ...sheet-based DEA models where firms’ performances are compared using ...
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The application of DEA and queuing models to large scale computer networks
... primary DEA models, the major goal was evaluating the eciency of the ...then, DEA has been used for future programming of organizations and the responses of dierent ...introduced models for ...
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Forecasting Models Evaluation Using A Slacks-Based Context-Dependent DEA Framework
... forecasting models of crude oil prices’ volatility based on 9 measures of 3 criteria: biasedness, goodness-of-fit, and correct ...follows: models are ranked from best to worst using the relevant measure of ...
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Predicting the Efficiency of Decision-Making Unit by Using Piecewise Polynomial Extrapolation in Different Times
... by DEA models on the assumption that it is constant returns to scale in different times, we reach the conclusion that the amounts of efficiency for given DMU is a number which is greater than zero and ...
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Estimating the Efficient Portfolio in Non-Radial DEA and DEA-R Models
... of DEA and the focus on the input and output data, the subject of ratio data was ...of DEA and Ratio analysis, Despic at ...of DEA (DEA-R) ...utilizing DEA-R models ...in ...
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A general Approach to find Non-Zero Multiplier Weights in DEA
... (DEA) models can be stated as two mutually dual linear programs referred to as the envelopment and multiplier ...multiplier models are stated in terms of variable input and output weights ...proposed ...
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