This paper aims to evaluate technology transfer efficiency in manufacturing factories by using Data Envelopment Analysis (DEA). Inputs that were used in the model are 1) implementation experience of companies with the robotics technology, 2) training hours, and 3) the number of robotics technology using in manufacturing process. Level of utilization of technology was considered as output of the model. Eight companies in automotive parts/components manufacturing industry were selected as case examples. Real operating data from these companies were used to measure technology transfer efficiency. The results indicate that five companies are efficient in term of transferring technology, whereas the remaining three companies are inefficient in term of utilizing their resources. Recommendations and opportunities for improvement were raised for inefficient companies to plan and execute an efficient technology transfer.