The range of manufacturing technologies available to firms has signifi
cantly increased in the past 20 years. A potential buyer of a technolo
gy such as machine tools, industrial robots, or flexible manufacturing
systems is faced with many options in both performance and cost. This
paper proposes a decision model for technology selection problems usi
ng a two-phase procedure. In phase 1, data envelopment analysis is use
d to identify technologies that provide the best combinations of vendo
r specifications on the performance parameters of the technology. In p
hase 2, a multi-attribute decision making model is used to select a te
chnology from those identified in phase 1. Unlike most other models fo
r technology selection, this model takes into consideration the fact t
hat the performance of a technology, as specified by its vendor, is of
ten unobtainable in reality. The proposed model is illustrated using r
obot selection and is tested on an actual robot data set.