A presentation of GAMS for DEA

The paper is concerned with a discussion of advantages and drawbacks using standard vs special optimizers for solving DEA-problems. The use of standard optimizers is recommended. It is argued that GAMS provides a highly appropriate framework for building and solving DEA-models. The successive development of DEA-models along with the flexible tools for model building and the large number of standard solvers available with GAMS are the basic arguments in favour of the use of GAMS rather than a specialized optimizer for DEA-problems. A representation of the CCR-model along with some of its extensions is included as a selection of GAMS statements; the GAMS statements provide a ready for use framework for DEA in GAMS.