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An enhanced BAM for unbounded or partially bounded CRS additive models

Pastor, Jesús T.; Aparicio, Juan; Alcaraz, Javier; … - In: Omega : the international journal of management science 56 (2015), pp. 16-24

Persistent link: https://www.econbiz.de/10011339754

The directional distance function and the translation invariance property

Aparicio, Juan; Pastor, Jesús T.; Vidal, Fernando - In: Omega : the international journal of management science 58 (2016), pp. 1-3

Persistent link: https://www.econbiz.de/10011416939

Evaluating productive performance : a new approach based on the product-mix problem consistent with data envelopment analysis

Aparicio, Juan; Pastor, Jesús T.; Vidal, Fernando; … - In: Omega : the international journal of management science 67 (2017), pp. 134-144

Persistent link: https://www.econbiz.de/10011630511

How to properly decompose economic efficiency using technical and allocative criteria with non-homothetic DEA technologies

Aparicio, Juan; Pastor, Jesús T.; Zofío, José L. - In: European journal of operational research : EJOR 240 (2015) 3, pp. 882-891

Persistent link: https://www.econbiz.de/10010486927

The determination of the least distance to the strongly efficient frontier in Data Envelopment Analysis oriented models : modelling and computational aspects

Aparicio, Juan; Cordero, Jose M.; Pastor, Jesús T. - In: Omega : the international journal of management science 71 (2017), pp. 1-10

Persistent link: https://www.econbiz.de/10011720949

Accounting for slacks to measure and decompose revenue efficiency in the Spanish Designation of Origin wines with DEA

Aparicio, Juan; Borras, Fernando; Pastor, Jesus T.; … - In: European Journal of Operational Research 231 (2013) 2, pp. 443-451

In this paper, we show how Data Envelopment Analysis (DEA) may be used to measure and decompose revenue inefficiency, taking into account all sources of technical waste in the context of an application to assess the Spanish quality wine sector, in particular Designation of Origin (DO) wines. We...

Persistent link: https://www.econbiz.de/10010682499

How to peel a data envelopment analysis frontier : a cross-validation-based approach

Aparicio, Juan; Esteve, Miriam - In: Journal of the Operational Research Society 74 (2023) 12, pp. 2558-2572

Persistent link: https://www.econbiz.de/10014446188

An unsupervised learning-based generalization of Data Envelopment Analysis

Moragues, Raul; Aparicio, Juan; Esteve, Miriam - In: Operations research perspectives 11 (2023), pp. 1-14

In this paper, we introduce an unsupervised machine learning method for production frontier estimation. This new approach satisfies fundamental properties of microeconomics, such as convexity and free disposability (shape constraints). The new method generalizes Data Envelopment Analysis (DEA)...

Persistent link: https://www.econbiz.de/10014448520

Multi-output support vector frontiers

Valero-Carreras, Daniel; Aparicio, Juan - In: Computers & operations research : and their … 143 (2022), pp. 1-17

Persistent link: https://www.econbiz.de/10013343235

Improving the predictive accuracy of production frontier models for efficiency measurement using machine learning : the LSB-MAFS method

Guillen, María D.; Aparicio, Juan; Zofío, José L.; … - In: Computers & operations research : an international journal 171 (2024), pp. 1-19

Persistent link: https://www.econbiz.de/10015066453