RT Journal Article
T1 Target setting using an enhanced inverse DEA approach: application to Spanish universities
A1 Lozano, Sebastian
A1 Contreras Rubio, Ignacio
K1 Target setting
K1 Inverse DEA
K1 Multiobjective optimisation
K1 Extended lexicographic GP
K1 Universities
AB This paper proposes a non-oriented, non-radial Inverse Data Envelopment Analysis (InvDEA) approach for target setting. The changes of any input and output dimensions may be fixed. In addition to the corresponding multiobjective optimisation model, the approach includes a prior step that checks the feasibility of the input and output changes that are fixed and revises them if necessary. This Pre-InvDEA model uses Goal Programming (GP) and guarantees the feasibility of those changes. The approach also includes a Post-InvDEA multiobjective optimisation model to optimise the input and output changes given in order to guarantee that the computed target is efficient. The overall target-setting approach is conceived as an interactive process so that the three steps (Pre-InvDEA, InvDEA, and Post-InvDEA) may be run more than once until a satisfactory target is determined. The application of the proposed approach to computing efficient targets for Spanish universities is presented.
PB Taylor and Francis
YR 2024
FD 2024
LK https://hdl.handle.net/10433/20598
UL https://hdl.handle.net/10433/20598
LA en
NO Lozano, S., & Contreras, I. (2024). Target setting using an enhanced inverse DEA approach: application to Spanish universities. Journal of the Operational Research Society, 1–17. https://doi.org/10.1080/01605682.2024.2306176
NO Proyectos de investigaciónMinisterio de Ciencia e Innovación número PID2021-124981NB-I00.
NO Departamento de Economía, Métodos Cuantitativos e Historia Económica
DS RIO
RD May 7, 2026