Basic analytical capabilities of the CCR-DEA model
The article describes some analytical applications of the basic DEA model – CCR model proposed by Charnes, Cooper and Rhodes . The author presents elementary DEA profiles, terminology, ideas and some traditional ways of determining the optimal technology for inefficient objects and benchmarking and estimating the type and size of returns to scale. The evaluation of input excess and output shortage is also described. In this context, the author suggests an economic interpretation of the optimal solution of the CCR model as a task that consists of creating virtual technology of a given set of objects. The author also presents how to determine the structure of a target and optimal technology and indicates the way of using simplex reports in sensitivity analysis of the solution to the CCR model. All these reflections are illustrated by a real-life DEA problem that concerns bank efficiency.
Volume (Year): 1 (2009)
Issue (Month): ()
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- Tofallis, C., 1996. "Improving discernment in DEA using profiling," Omega, Elsevier, vol. 24(3), pages 361-364, June.
- Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
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