If a DEA model has a mix of categorical and continuous variables a standard LP formulation can still be used by …

Customer Service Representative resource allocation efficiency of a major Canadian bank’s model. Two DEA models are proposed … broken down into branch size segments and geographical regions for analysis. A comparison is conducted between the DEA model … results and the Bank’s performance ratios and benchmarks, validating the use of the proposed DEA models for resource …

This paper discusses the theoretical and practical aspects of new methods for solving DEA problems under real …Diese Publikation behandelt die theoretischen und praktischen Aspekte der neuen Methoden zur Lösung von DEA …

utility models (LINMAP) and production frontiers (data envelopment analysis (DEA)). Both LINMAP and DEA have theoretical and … weights, while regression treats these preferences as interval scaled. DEA produces easy-to-understand efficiency measures …

Data Envelopment Analysis (DEA) evaluates the relative efficiency of decision-making units (DMUs) but does not allow … for a ranking of the efficient units themselves. A modified version of DEA based upon comparison of efficient DMUs …

envelopment analysis (DEA). The review covers topics that we hope will be of special interest to those doing research in the realm …

The concept “Data Envelopment Analysis” (DEA) was introduced in the journal literature by the highly influential 1978 …

, airlines, hospitals, universities, defense firms, and manufacturers. The dea com- mand in Stata will allow users to conduct the … standard optimization procedure and extended managerial analysis. The dea command developed in this article selects the chosen … variables from a Stata data file and constructs a linear programming model based on the selected dea options. Examples are given …

The standard DEA model can be applied to a mix of categorical and continuous variables by entering all combinations of …