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| Format: | Artículo científico |
| Language: | en |
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Universidad Nacional de Colombia
2016
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| Online Access: | https://www.redalyc.org/articulo.oa?id=49644128001 |
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Table of Contents:
- A multiobjective approach for non-discretionary variables in data envelopment analysis Lidia Angulo-Meza João Carlos Correia Baptista Soares-de Mello Silvio Figueiredo-Gomes-Júnior Ingeniería Non non Multi radial models objective model Data Envelopment Analysis is a non-parametrical approach for efficiency evaluation of so-called DMUs (Decision Making Units) and takes into account multiple inputs and outputs. For each inefficient DMU, a target is provided which is constituted by the inputs or outputs levels that are to be attained for the inefficient DMU to become efficient. However, multiobjective models, known as MORO (Multiobjective Model for Ratio Optimization) provide a set of targets for inefficient DMU, which provides alternatives among which the decision-maker can choose. In this paper, we proposed an extension of the MORO models to take into account non-discretionary variables, i.e., variables that cannot be controlled. We present a numerical example to illustrate the proposed multiobjective model. We also discuss the characteristics of this model, as well as the advantages of offering a set of targets for the inefficient DMUs when there are non-discretionary variables in the data set. 2016 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49644128001 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.195 Vol.83