Ann Oper Res 2:139–156Ĭharnes A, Rousseau J, Semple J (1996) Sensitivity and stability analysis of efficiency classifications in data envelopment analysis. Eur J Oper Res 2:429–444Ĭharnes A, Cooper WW, Lewin AY, Morey RC, Rousseau J (1985) Sensitivity and stability analysis in DEA. Springer, Boston, pp 567–593īühnenverein D (2015) Theaterstatistik 2014/2015, Deutscher Bühnenverein Bundesverband der Theater und OrchesterĬharnes A, Cooper WW, Rhodes E (1978) Measuring the efficiency of decision making units.
International series in operations research & management science, 71st edn.
In: Cooper WW, Seiford LM, Zhu J (eds) Handbook on data envelopment analysis. Eur J Oper Res 62:74–84īarr RS (2004) Dea software tools and technology. Manag Sci 32:126–135īanker RD, Thrall RM (1992) Estimation of returns to scale using data envelopment analysis. Eur J Oper Res 154:345–362īanker RD, Maindiratta A (1986) Piecewise loglinear estimation of efficient production surfaces. Manag Sci 30:1078–1091īanker RD, Cooper WW, Seiford LM, Thrall RM, Zhu J (2004) Returns to scale in different DEA models. J Bus Econ 85:953–975īanker RD, Charnes A, Cooper WW (1984) Some Models for Estimating Technical and Scale Inefficiences in Data Envelopment Analysis.
We use a little numerical example to emphasize advantages of the new concept and sketch the new findings for a theater scenery.Īhn H, Le MH (2015) DEA efficiency of German savings banks - Evidence from a goal-oriented perspective. Finally, scale efficiency turns out to be the ideal concept to control these activity changes, rather than just CCR- or BCC-efficiency. Moreover, it allows for exact calculations of the resulting economic effects, and these effects give new insights beyond classical DEA. Such findings of mutual effects improve a DMU’s ability to reassess upsizing and downsizing of activities. And inversely, how does BCC-efficiency behave when activity scaling under constant CCR-efficiency is applied. In this paper we propose a comparative analysis of both concepts: How does activity scaling under constant BCC-efficiency influence CCR-efficiency. To evaluate a DMU’s efficiency for both models might be helpful, but it does not always capture the essential issues at stake. The right choice of a DEA model-CCR or BCC-often, if not always, is a difficult decision. (Manag Sci 30:1078–1091, 1984) are the most popular approaches of measuring efficiency among a group of decision making units, DMUs, in data envelopment analysis, DEA. (Eur J Oper Res 2:429–444, 1978) together with the BCC model by Banker et al.
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