A procedure for ranking efficient units in data envelopment analysis
Management Science
Input efficiency profiling: an application to airlines
Computers and Operations Research
An Assurance Interval for the Non-Archimedean Epsilon in DEA Models
Operations Research
A polynomial-time algorithm for finding ɛ in DEA models
Computers and Operations Research
A new method based on the dispersion of weights in data envelopment analysis
Computers and Industrial Engineering
The worst-practice DEA model with slack-based measurement
Computers and Industrial Engineering
Railway station site selection using analytical hierarchy process and data envelopment analysis
Computers and Industrial Engineering
Computers and Industrial Engineering
Recognizing strong and weak congestion slack based in data envelopment analysis
Computers and Industrial Engineering
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In this paper, we propose a model that minimizes deviations of input and output weights from their means for efficient decision-making units in data envelopment analysis. The mean of an input or output weight is defined as the average of the maximum and the minimum attainable values of the weight when the efficient decision making unit under evaluation remains efficient. Alternate optimal weights usually exist in the linear programming solutions of efficient decision-making units and the optimal weights obtained from most of the linear programming software are somewhat arbitrary. Our proposed model can yield more rational weights without a priori information about the weights. Input and output weights can be used to compute cross-efficiencies of decision-making units in peer evaluations or group decision-making units, which have similar production processes via cluster analysis. If decision makers want to avoid using weights with extreme or zero values to access performance of decision-making units, then choosing weights that are close to their means, may be a rational choice.