An Interactive MOLP Method for Solving Output-Oriented DEA Problems with Undesirable Factors

The conventional data envelopment analysis (DEA) models generally do not consider the DM’s preference structure for identifying target units. To overcome this drawback equivalence models between the outputoriented DEA and Multiple Objective Linear Programming (MOLP) models have been proposed in the literature. However these models are not able to identify target units when undesirable outputs are usually produce with desirable outputs in the production process. Thus, in this study we obtain a new link between an outputoriented BCC model and the weighted minimax reference point MOLP formulation that simultaneously considers the increase in the total desirable outputs and the decrease in the total undesirable outputs in an interactive fashion

Data envelopment analysis, Target unit, Undesirable output, MOLP, Minimax method.