In recent years providing health services to patients has becoming increasingly important and countries spend an average number of 8.4% of their GDPs on health services [WHO report]. In this environment application of managerial approaches will lead to the more efficient use of resources. Hospitals absorb a large share of public health expenditures; therefore, considerable savings in health cost can be achieved through the improving their efficiency. Since operating theatre has the hospital’s largest cost and revenue, it has significant role in the performance of the hospital as a whole. The first phase in operating room (OR) planning is to determine the number of OR times allocated to each surgical service. Different surgical services demand operating rooms to treat elective patients, each competing for a limited supply of OR time. In this study, data envelopment analysis (DEA) is used to allocate the limited resource of OR times to different surgical services. in this study we considered that there is a centralized decision maker (Operation theatre manager) who supervises all the surgical services. Therefore, a centralized data envelopment analysis (CDEA) is applied for the assignment of OR blocks to the surgical groups. This centralized OR capacity planning model, while interested in the efficiency of the services, is also concerned with the overall consumption of the different inputs and the overall production of their outputs. It is also shown by the centralized DEA model how extra OR blocks can be assigned to the surgical services such that the overall efficiency of the operating theatre is maximized. In order to implement DEA, input/output variables were defined and analytic hierarchy process (AHP) is used to decrease the number of variables. At last, the model has been solved for data of 11 specialties in elective operating theatre of Alzahra Hospital in Isfahan, Iran which has 20 surgery rooms to be allocated with approximately 65-75 surgeries per day. The data has been collected in autumn, 2009.