Continuous models combining slacks-based measures of efficiency and super-efficiency

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Hauptverfasser: Bolos, Vicente J., Benitez, Rafael, Coll-Serrano, Vicente
Format: Preprint
Veröffentlicht: 2024
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author Bolos, Vicente J.
Benitez, Rafael
Coll-Serrano, Vicente
author_facet Bolos, Vicente J.
Benitez, Rafael
Coll-Serrano, Vicente
contents In the framework of data envelopment analysis (DEA), Tone (2001) introduced the slacks-based measure (SBM) of efficiency, which is a nonradial model that incorporates all the slacks of the evaluated decision-making units (DMUs) into their efficiency scores, unlike classical radial efficiency models. Next, Tone (2002) developed the SBM super-efficiency model in order to differentiate and rank efficient DMUs, whose SBM efficiency scores are always $1$. However, as pointed out by Chen (2013), some interpretation problems arise when the so-called super-efficiency projections are weakly efficient, leading to an overestimation of the SBM super-efficiency score. Moreover, this overestimation is closely related to discontinuity issues when implementing SBM super-efficiency in conjunction with SBM efficiency. Chen (2013) and Chen et al. (2019) treated these problems, but they did not arrive to a fully satisfactory solution. In this paper, we review these papers and propose a new complementary score, called composite SBM, that actually fixes the discontinuity problems by counteracting the overestimation of the SBM super-efficiency score. Moreover, we extend the composite SBM model to different orientations and variable returns to scale, and propose additive versions. Finally, we give examples and state some open problems.
format Preprint
id arxiv_https___arxiv_org_abs_2410_14303
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Continuous models combining slacks-based measures of efficiency and super-efficiency
Bolos, Vicente J.
Benitez, Rafael
Coll-Serrano, Vicente
Optimization and Control
90C08, 90C30, 90C47, 90C90
In the framework of data envelopment analysis (DEA), Tone (2001) introduced the slacks-based measure (SBM) of efficiency, which is a nonradial model that incorporates all the slacks of the evaluated decision-making units (DMUs) into their efficiency scores, unlike classical radial efficiency models. Next, Tone (2002) developed the SBM super-efficiency model in order to differentiate and rank efficient DMUs, whose SBM efficiency scores are always $1$. However, as pointed out by Chen (2013), some interpretation problems arise when the so-called super-efficiency projections are weakly efficient, leading to an overestimation of the SBM super-efficiency score. Moreover, this overestimation is closely related to discontinuity issues when implementing SBM super-efficiency in conjunction with SBM efficiency. Chen (2013) and Chen et al. (2019) treated these problems, but they did not arrive to a fully satisfactory solution. In this paper, we review these papers and propose a new complementary score, called composite SBM, that actually fixes the discontinuity problems by counteracting the overestimation of the SBM super-efficiency score. Moreover, we extend the composite SBM model to different orientations and variable returns to scale, and propose additive versions. Finally, we give examples and state some open problems.
title Continuous models combining slacks-based measures of efficiency and super-efficiency
topic Optimization and Control
90C08, 90C30, 90C47, 90C90
url https://arxiv.org/abs/2410.14303