A multiobjective approach for non-discretionary variables in data envelopment analysis
| Autor: | Lidia Angulo-Meza, João Carlos Correia Baptista Soares-de Mello, Silvio Figueiredo-Gomes-Júnior |
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| Jazyk: | Spanish; Castilian |
| Rok vydání: | 2016 |
| Předmět: |
lcsh:TN1-997
Engineering 021103 operations research Operations research lcsh:T business.industry Modelos Multiobjetivo 0211 other engineering and technologies General Engineering Análisis Envolvente de Datos Variables no-discrecionales 02 engineering and technology Extension (predicate logic) lcsh:Technology Data set Set (abstract data type) 62 Ingeniería y operaciones afines / Engineering 0202 electrical engineering electronic engineering information engineering Data envelopment analysis 020201 artificial intelligence & image processing business modelos no-radiales lcsh:Mining engineering. Metallurgy |
| Zdroj: | Repositorio UN Universidad Nacional de Colombia instacron:Universidad Nacional de Colombia Dyna, Vol 83, Iss 195, Pp 9-15 (2016) |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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