Data Envelopment Analysis, DEA
An inverse network DEA model for two-stage processes in the presence of undesirable factors

Leila Khoshandam; Maryam Nematizadeh

Articles in Press, Accepted Manuscript, Available Online from 18 March 2023

  The inverse data envelopment analysis (DEA) problem has been one of the most important issues in the last decade. The inverse DEA permits the chief manager to increase (or decrease) outputs (or inputs) of decision-making units (DMUs) in such a way that the level of the relative efficiency of the under–observed ...  Read More