Closest targets and minimum distance to the Pareto-efficient frontier in DEA

By Juan Aparicio, José L. Ruiz, Inmaculada Sirvent. 2007

286 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/0b4e77950d9442c4dedacd7ac9367144e4adc75e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. José L. Ruiz
2. Inmaculada Sirvent
3. L. Seiford
4. Wade D. Cook

In Management Science and Operations Research

1. Wade D. Cook
2. L. Seiford
3. José L. Ruiz
4. Inmaculada Sirvent
5. Joe Zhu
6. Chiang Kao
7. Peng Zhou
8. Young-Tae Chang

Citations in the corpus

• Data envelopment analysis (DEA) - Thirty years on (2009, background): “In a recent paper Aparicio et al. (2007) present a set of models for obtaining least distance projections.”
• Performance evaluation through DEA benchmarking adjusted to goals (2018, methodology): “In Aparicio et al. (2007), the problem of minimizing the distance to the efficient frontier was theoretically solved through a mixed integer linear problem (MILP) that can be used to set the closest targets.”