نتایج جستجو برای: data envelopment analysis dea ranking efficiency extremely efficient chinese cities
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Performance Data envelopment analysis Managerial efficiency Profitability efficiency A two-stage approach in data envelopment analysis (2S-DEA) methodology is used towards decomposing a typical two-stage operation process of general insurance companies, which is conducted in a single operation involving intermediate. Specifically, we evaluate the managerial efficiency and profitability efficien...
Benchmarking cleaner production performance is an effective way of pollution control and emission reduction in coal-fired power industry. A benchmarking method using two-stage super-efficiency data envelopment analysis for coal-fired power plants is proposed – firstly, to improve the cleaner production performance of DEA-inefficient or weakly DEA-efficient plants, then to select the benchmark f...
Data Envelopment Analysis )DEA( is a technique for measuring the efficiency of decision making units. In all models of the DEA, for each unit under assessment, the numerical efficiency which may be less than or equal to one is obtained. Given the possible large number of efficiency units for evaluating units, we use various methods of ranking. span style="font-family: Cambria Math;font-size:8pt...
One hears that the credit ranking score has increased technical efficiency in financial holding companies, when a data envelopment analysis (DEA) is employed. Our empirical results show that the credit ranking scores will obviously affect the estimated results of efficiency measurement in Taiwan’s financial holding companies. Additionally, the effects on technical inefficiency could be attribut...
Super eciency data envelopment analysis(DEA) model can be used in ranking the performanceof ecient decision making units(DMUs). In DEA, non-extreme ecient unitshave a super eciency score one and the existing super eciency DEA models do notprovide a complete ranking about these units. In this paper, we will propose a methodfor ranking the performance of the extreme and non-extreme ecient units.
Data envelopment analysis (DEA) is a method used for measuring the efficiency of decision-making units. Unlike the standard models, which assume decision-making units to be a black box, network data envelopment analysis focuses on the internal structure of these units. Some researchers have developed a two-stage method where all the inputs are entirely used in the first stage, producin...
Data envelopment analysis (DEA) is a technique for measuring the efficiency of decision making units. In all models of the DEA, for each unit under assessment, the numerical efficiency is obtained which may be less than or equal to one. Given the possible large number of functional units, we use various ranking methods for evaluating units. One of the rating methods is Balance index and Topsis....
In this paper the outcome of a benchmarking study that compares organization websites in the public sector is presented. In particular, 31 websites of Italian public universities are compared considering the website cognitive efficiency as a measure of its overall performance, i.e. usability and accessibility. Data Envelopment Analysis is performed to generate a measurement for the cognitive ef...
Mehr housing project is one of the large-scale developmental projects which commenced with the aim of easing housing shortage of the fellow countrymen, while spending a huge amount of financial, physical, and a large number of human resources. Now, measuring the extent of the relative efficiency of this project is an appropriate index for its evaluation. Thus, in the current research, the exten...
Keywords: Data envelopment analysis Target unit Undesirable output Multiple objective linear programming Minimax method a b s t r a c t Data Envelopment Analysis (DEA) is a mathematical programming technique for identifying efficient Decision Making Units (DMUs) with multiple inputs and multiple outputs. DEA provides a technical efficiency score for each DMU, a technical efficiency reference se...
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