A NEW LINK BETWEEN MOLP AND DEA MODELS IN THE PRESENCE OF UNDESIRABLE OUTPUTS

The conventional DEA models generally do not consider the DM’s preference structure or value judgments. Thus, various methods have been proposed to incorporate the DM’s preference information in DEA. However these models are not applicable to performance evaluation problems with undesirable outputs. In this paper, we establish a new link between multi objective linear programming (MOLP) problem and DEA model with undesirable outputs in order to use the interactive methods in MOLP to locate the most preferred solution on the efficient frontier for the target setting and resource allocation.

Data envelopment analysis; Target Unit; Undesirable output; Multi objective linear programming