Browsing Department of Management and Entrepreneurship by Subject "Data envelopment analysis"
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Allocating fixed resources and setting targets using a commonweights DEA approach
(Article)Data envelopment analysis (DEA) is a datadriven nonparametric approach for measuring the efficiency of a set of decision making units (DMUs) using multiple inputs to generate multiple outputs. Conventionally, DEA is used ... 
An Application of Fuzzy Numbers Ranking in Performance Analysis
(Article)Data Envelopment Analysis (DEA) is a mathematical optimization technique that measures the relative efficiency of Decision Making Units (DMUs) with multiple inputoutput. In traditional DEA models, the data of different ... 
A biobjective data envelopment analysis model using a common set of weights
(Conference)Conventional data envelopment analysis (DEA) stems from benefit/cost theory to evaluate the technical efficiency of units as the ratio of weighted outputs to weighted inputs. DEA in this regard allows each unit to maximize ... 
A bounded data envelopment analysis model in a fuzzy environment with an application to safety in the semiconductor industry
(Article)Data envelopment analysis (DEA) is a mathematical programming approach for evaluating the relative efficiency of decision making units (DMUs) in organizations. The conventional DEA methods require accurate measurement of ... 
Carbon efficiency evaluation: An analytical framework using fuzzy DEA
(Article)Data Envelopment Analysis (DEA) is a powerful analytical technique for measuring the relative efficiency of alternatives based on their inputs and outputs. The alternatives can be in the form of countries who attempt to ... 
Centralized resource reduction and target setting under DEA control
(Conference)Data Envelopment Analysis (DEA) is a powerful tool for measuring the relative efficiency of decision making units (DMUs). In centralized decisionmaking systems, management normally imposes common resource constraints such ... 
Centralized resource reduction and target setting under DEA control
(Working Paper)Data envelopment analysis (DEA) is a powerful tool for measuring the relative efficiencies of a set of decision making units (DMUs) such as schools and bank branches that transform multiple inputs to multiple outputs. In ... 
Chanceconstrained cost efficiency in data envelopment analysis model with random inputs and outputs
(Article)Data envelopment analysis (DEA) is a wellknown nonparametric technique primarily used to estimate radial efficiency under a set of mild assumptions regarding the production possibility set and the production function. ... 
A comment on a new superefficiency model in the presence of negative data
(Article)The superefficiency data envelopment analysis model under constant returns to scale does not suffer from the infeasibility problem while the superefficiency model under the condition of variable returns to scale (VRS) ... 
A common set of weight approach using an ideal decision making unit in data envelopment analysis
(Article)Data envelopment analysis (DEA) is a common nonparametric frontier analysis method. The multiplier framework of DEA allows flexibility in the selection of endogenous input and output weights of decision making units (DMUs) ... 
A commonweights DEA model for centralized resource reduction and target setting
(Article)Data Envelopment Analysis (DEA) is a powerful tool for measuring the relative efficiency for a set of Decision Making Units (DMUs) that transform multiple inputs into multiple outputs. In centralized decisionmaking systems, ... 
Consistent and robust ranking in imprecise data envelopment analysis under perturbations of random subsets of data
(Article)Data envelopment analysis (DEA) is a nonparametric method for measuring the relative efficiency of a set of decision making units using multiple precise inputs to produce multiple precise outputs. Several extensions to ... 
A data envelopment analysis model with discretionary and nondiscretionary factors in fuzzy environments
(Article)Data envelopment analysis (DEA) is a methodology for measuring the relative efficiencies of a set of decisionmaking units (DMUs) that use multiple inputs to produce multiple outputs. The standard DEA models assume that ... 
Data Envelopment Analysis Models with Ratio Data: A revisit
(Article)The performance evaluation of forprofit and notforprofit organisations is a unique tool to support the continuous improvement process. Data envelopment analysis (DEA) is literally known as an ... 
Data envelopment analysis with fuzzy parameters: An interactive approach
(Book chapter)Data envelopment analysis (DEA) is a methodology for measuring the relative efficiencies of a set of decision making units (DMUs) that use multiple inputs to produce multiple outputs. In the conventional DEA, all the data ... 
Data envelopment analysis with fuzzy parameters: An interactive approach
(Article)Data envelopment analysis (DEA) is a methodology for measuring the relative efficiencies of a set of decision making units (DMUs) that use multiple inputs to produce multiple outputs. In the conventional DEA, all the data ... 
Data envelopment analysis: An efficient duo linear programming approach
(Article)Data envelopment analysis (DEA) is a powerful mathematical method that utilises linear programming (LP) to determine the relative efficiencies of a set of functionally similar decisionmaking units (DMUs). Evaluating the ... 
Dual frontiers without convexity
(Article)The conventional optimistic data envelopment analysis (DEA) model typically evaluates decisionmaking units (DMUs) using the best relative efficiency that is derived from the estimated efficient production frontier, while ... 
DualRole Factors for Imprecise Data Envelopment Analysis
(Article)Efficiency analyses are crucial to managerial competency for evaluating the degree to which resources are consumed in the production process of gaining desired services or products. Among the vast available literature on ... 
Efficiency analysis in twostage structures using fuzzy data envelopment analysis.
(Article)Twostage data envelopment analysis (TsDEA) models evaluate the performance of a set of production systems in which each system includes two operational stages. Taking into account the internal structures is commonly found ...