[PDF] Top 20 Diseño del modelo de servicios para las terminales de transporte de Medellín
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Classifying inputs and outputs in interval data envelopment analysis
... It can be said that in cases where there is ambiguity, the correct selection of the input or output role of a performance measure mainly depends on the fairest possible behavior with the DMU. Thus, the organization must ... See full document
217
SELF-ASSESSMENT PATTERN IN THE SUGGESTIONS SYSTEM USING INTERVAL DATA ENVELOPMENT ANALYSIS
... using Interval Data Envelopment ...study, Interval Data Envelopment Analysis is used to proposed practical approach for self-assessment and optimization and a development ... See full document
86
A One-Model Method Based on a Relaxed Combination of Inputs for Congestion Assessment in Interval Data Envelopment Analysis
... classic data envelopment analysis (DEA) with precise input and output values while, in the real world, the input and output values are imprecise in most of the ...congestion interval for ... See full document
57
A comprehensive common weights data envelopment analysis model: Ideal and anti-ideal virtual decision making units approach
... Data Envelopment Analysis (DEA), as a nonparametric technique, has extensively been used to measure the efficiency of homogenous Decision-Making Units (DMUs) with the multiple inputs and ... See full document
9
The Efficiency of MSBM Model with Imprecise Data (Interval)
... Data Envelopment Analysis (DEA) is a non-parametric technique for measuring and evaluating the relative efficiency of a set of Decision Making Units (DMU) with alternative inputs and ... See full document
151
Hybrid cluster and data envelopment analysis with interval data
... as interval data in the conducted research by Jahanshahloo and Hosseinzadeh Lot in 2009 [15] (reference of ...three inputs to generate ve outputs, and there are 20 ...three inputs are ... See full document
5
Management Quality Measurement: Using Data Envelopment Analysis (DEA) Estimation Approach for Banks in Brazil
... multiple inputs and outputs to compute a scalar measure of efficiency and management ...An analysis of the largest 50 Brazilian banks over a twelve-year period shows significant differences in ... See full document
8
Modeling urban quality of life with data envelopment analysis methods
... It is obvious that the choice of model has a substantial effect on the efficiency scores. For the case of a constant return to scale, just a few and mainly small banks were on the efficiency frontier. This result should ... See full document
14
An Additive Model for Estimation Return to Scale in Regulated Environment with Quasi-Fixed Inputs in Data Envelopment Analysis (DEA)
... The measurement of RTS amounts measures a relationship between inputs and outputs in a production structure. There are many different ways to calculate RTS in primal or dual space. But in more realistic ... See full document
46
Context Dependent Data Envelopment Analysis with Interval Data
... Data envelopment analysis (DEA) is a non-parametric method for evaluating the relative efficiency of deci- sion making units (DMUs) on the basis of multiple inputs and ...the data ... See full document
71
The overall efficiency and projection point in network DEA
... Data Envelopment Analysis (DEA) is one of the best methods for measuring the efficiency and productivity of Decision Making Units ...network inputs and the last network outputs will be ... See full document
22
Online Full Text
... approaches, Data Envelopment Analysis (DEA) is a better way to organize and analyze data since it allows efficiency to change over time and requires no prior assumption on the specification of ... See full document
87
A Bootstrap Interval Robust Data Envelopment Analysis for Estimate Efficiency and Ranking Hospitals
... To evaluate the performance of providers in a service industry such as health care, it is so important that the measurement tools take into account both the efficiency and the quality of service provided. Fiallos et al. ... See full document
158
Efficiency Evaluation Of A Few Organic Solar Cells By Data Envelopment Analysis
... productivity analysis model for measuring the relative efficiencies of a homogenous set of decision making units (DMUs) ...of envelopment surface, the efficiency measurement and the orientation (input or ... See full document
12
Efficiency evaluating and improvement by using the network SBM-DEA model with undesirable output: A case study of Iranian airlines
... the Data Envelopment Analysis (DEA) Method, as the most popular method of evaluating efficiency, has been ...network envelopment data analysis models have been developed, taking ... See full document
156
An Extension of Enhanced Russell Measure to deal with Interval Scale Data in DEA
... Data envelopment analysis (DEA) is a non-parametric method for evaluating the relative efficiency of decision-making units (DMUs) on the basis of multiple inputs and ...which interval ... See full document
66
Economic efficiency of radiology wards using data envelopment analysis: Case study of Iran
... the data envelopment analysis ...the inputs and outputs are similarly ...as inputs in an efficiency study, a similar impact or weigh is considered for a technician and a ... See full document
56
On model selection in data envelopment analysis: a multivariate statistical approach
... of inputs and outputs, perhaps 2 or 3 of each, but if the total number of inputs plus outputs increases, the number of possible combinations also increases and its direct application becomes ... See full document
98
DEA can evaluate the relative efficiencies of
... Data envelopment analysis (DEA) is a linear programming based decision technique designed specifically to measure relative efficiency using multiple inputs and outputs without a priori ... See full document
12
A Research Framework for Data Envelopment Analysis with Upper Bound on Output to Measure Efficiency Performance of Higher Learning Institution in Aceh Province
... Analysis of efficiency in Engineering and Economics traditionally done using the classical efficiency ratio based on input and output weights for all Decision Making Units (DMU) that is being evaluated [1]. The ... See full document
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