An Evaluation of the Efficiency Rankings of the Schools of Shiraz University of Medical Sciences Using An Integrated Approach of Data Envelopment Analysis and Goal Programming

Introduction: performance appraisal and efficiency evaluation of schools and universities have had remarkable growth over the past two decades. the present study evaluated the performance of the schools of shiraz university of medical sciences. methods: this is a cross-sectional study, conducted in 2017 on 10 schools of shiraz university of medical sciences using data of the year 2016 related to 5 inputs and 12 outputs. in order to determine the weights of the inputs and outputs, fuzzy weighting was performed based on the experts’ views. then, by utilizing an integrated approach of data envelopment analysis (dea) and goal programming (gp), the efficiency of the schools was determined using model minimax. the final rankings were made by employing the super-efficiency ranking method (anderson-peterson). the results were exported using tora software after producing the relevant linear models for each school. the software uses the notation and procedures developed in taha hamdi, operation research: an introduction, 5/e, macmillan1992 . results: results from the minimax model, which presented the best answer, showed that the schools of dentistry, pharmacy, nutrition and food sciences, paramedical sciences, and health were efficient with respect to the 5 inputs and 12 outputs. by employing the superefficiency ranking method of anderson-peterson, the highest ranks and points were related to the schools of nutrition and food sciences, paramedical sciences, and dentistry. the average efficiency score of the schools was 0.89 conclusion: according to the results some schools must enhance their outputs. the continuous evaluations and publication of research results leads to awareness of the relative status and ranks, and ultimately causes increased competition and efforts to improve the efficiency of the schools.