{"title":"Performance Evaluation of Faculties of Islamic Azad University of Zahedan Branch Based-On Two-Component DEA","authors":"Ali Payan","volume":74,"journal":"International Journal of Mathematical and Computational Sciences","pagesStart":311,"pagesEnd":316,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/17213","abstract":"
The aim of this paper is to evaluate the performance of the faculties of Islamic Azad University of Zahedan Branch based on two-component (teaching and research) decision making units (DMUs) in data envelopment analysis (DEA). Nowadays it is obvious that most of the systems as DMUs do not act as a simple inputoutput structure. Instead, if they have been studied more delicately, they include network structure. University is such a network in which different sections i.e. teaching, research, students and office work as a parallel structure. They consume some inputs of university commonly and some others individually. Then, they produce both dependent and independent outputs. These DMUs are called two-component DMUs
\r\nwith network structure. In this paper, performance of the faculties of Zahedan branch is calculated by using relative efficiency model and also, a formula to compute relative efficiencies teaching and research components based on DEA are offered.<\/p>\r\n","references":"
[1] W. W. Cooper, L. M. Seiford, and K. Tone, Introduction to data envelopment analysis and its uses with DEA-solver software and references, Springer, New York, 2006.\r\n[2] M. L. Farrell, ”The measurement of productive efficiency,” Journal of the Royal Statistical Society A, vol. 120, pp. 253–290, 1957.\r\n[3] A. Charnes, W. W. Cooper, and E. Rhodes, ”Measuring the efficiency of decision making units,” European Journal of Operational Research, vol 2, pp. 429–444, 1978.\r\n[4] R. D. Banker, A. Charnes, and W. W. Cooper, ”Some models for estimating technical and scale efficiencies in data envelopment analysis,” Management Science, vol. 30, pp. 1078–1092, 1984.\r\n[5] W. D. Cook, and L.M. Seiford, ”Data envelopment analysis (DEA) Thirty years on,” European Journal of Operational Research, vol. 192, pp. 1-17, 2009.\r\n[6] W. D. Cook, M. Hababou, and H. J. H. Tuenter, ”Multicomponent efficiency measurement and shared inputs in DEA: an application to sales and service performance in bank branches,” Journal of Productivity Analysis, vol. 14, pp. 209-224, 2000.\r\n[7] G. R. Jahanshahloo, A. R. Amirteimoori, and S. Kordrostami, Measuring the multi-component efficiency with shared inputs and outputs in data envelopment analysis, Applied Mathematics and Computation, vol. 155, pp. 283-293, 2004.\r\n[8] G. R. Jahanshahloo, A. R. Amirteimoori, and S. Kordrostami, ”Multicomponent performance, progress and regress measurement and sharedinputs and outputs in DEA for panel data:an application in commercial bank branches,” Applied Mathematics and Computation, vol. 151, pp. 1-16, 2004.\r\n[9] A. A. Noora, F. Hosseinzadeh Lotfi, and A. Payan, ”Measuring the relative efficiency in multi-component decision making units and its application to bank branches,” Journal of mathematical extension, vol. 5, pp. 101-119, 2011.\r\n[10] R. G. Thompson, P. S. Dharmapala, and M. R. Thral, ”Importance for DEA of zeroes in data multipliers and solutions,” Journal of Productivity Analysis, vol. 4, pp. 379-390, 1993.\r\n[11] A. Charnes, and W. W. Cooper, ”Programming with linear fractional functional,” Noval Research Logistics Quarterly, vol.9, pp. 181-185, 1962.<\/p>\r\n","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 74, 2013"}