Technology selection is an important part of management of technology. We use somebasic principles from data envelopment analysis (DEA) in order to extract the necessaryinformation for selection the optimal technology and ranking of a number oftechnologies. The traditional data envelopment analysis (DEA) model does not includea decision maker's (DM) preference structure while measuring relative efficiency, withno or minimal input from the DM. To incorporate the DM's preference information inDEA, various techniques have been proposed. An interesting method to incorporatepreference information, without necessary prior judgment, is the use of an interactivedecision making technique that encompasses both DEA and multi-objective linearprogramming (MOLP). This paper applies an interactive approach in order to obtain theDM's preference information in order to detect the most efficient technology. Thisapproach is able to find the most efficient technology interactively by DM withoutsolving the model n times (one linear programming (LP) for each DMU) and thereforeallows the user to get faster results. At first one new MOLP model is introduced andthen it is shown that solving this MOLP interactively is always feasible and capable torank the most efficient one. To illustrate the model capability, the proposedmethodology is applied to 27 robots borrowed from Khouja (1995).
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