Abstract
The main objective of this paper is to analyze DMUs efficiency from different perspectives of variable returns to scale. For that, the authors use results of CCR, BCC and a new model proposed. The new model presents just in-creasing returns to scale. Thus, the efficient frontier must have specifics characteristics that guarantees increasing additional output beyond additional inputs verified. This study is going to show that the classic model of DEA BCC proposes variable returns of scale, however cannot ensure that all the efficient DMUs with increasing returns to scale is identified. The authors propose a new model where the measurement of efficiency is made by increasing returns to scale frontier.
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Benicio, J., de Mello, J.C.S., Meza, L.A. (2015). Efficiency in Increasing Returns of Scale Frontier. In: Póvoa, A., de Miranda, J. (eds) Operations Research and Big Data. Studies in Big Data, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-319-24154-8_3
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DOI: https://doi.org/10.1007/978-3-319-24154-8_3
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