Ranking of Faculties by Double Frontiers DEA and Traditional DEA (AP) Methods (Case Study: Faculties of Yazd University)

Background/Objectives: In this research, we have tried to describe an appropriate mathematical model of Data Envelopment Analysis for ranking of Yazd University faculties from the perspective of DEA model. Methods/Statistical Analysis: In this study, after identifying factors affecting faculty efficiency (number of teachers, number of students, university staff, presented books and papers, etc.) and determining the subdivisions of each of the factors, the relative significance of each factor of the subdivisions was calculated with the AHP method and the most important factors were used as the DEA model inputs. Results: After the implementation of the two models of traditional DEA and DEA with double frontiers, the results indicate that the ranking of faculties is different in each of these two methods and the traditional method of Data Envelopment Analysis has been more efficient in this research. Conclusion/Application: The result of this study suggest that in the ranking of the faculties there is a difference in between the two methods of traditional DEA and DEA with double frontiers in terms of efficiency.