Evaluating the Efficiency of Social Security in Isfahan Province

Subject Areas : Labor and Demographic Economics

amir gholamabri ¹

1 - استادیار دانشگاه آزاد اسلامی واحد فیروزکوه

Received: 2013-12-15 Accepted : 2014-04-29 Published : 2014-03-01

Keywords: C61, C67,

Abstract :

Social security, as one of the largest insurance agencies covering 37 million people of the country population and 63 thousands employees by vast areas of insurance, medical and investment services, has vital effect on the social and economic structure of the country. Consequently, the evaluation of this organization is of high significance. Moreover, DEA is a non-parametric method by solving linear programming problems for evaluating the performance of decision making units by multiple inputs and multiple outputs. In this paper, the efficiency of social security branches in Isfahan Province will be evaluated by DEA during 2011. In continue, efficient and inefficient units of this branch are identified and then efficient units will be ranked by Anderson and Peterson Model.  

References:

منابع

-         حمزه­پور، مهدی، محمدی، روح­الله (1391). بررسی کارایی شعب سازمان بیمه تامین اجتماعی در استان تهران با استفاده از روش تحلیل پوششی داده­ها. فصلنامه الکترونیک پارس مدیر،2(4): 117-94.

-         رحیمی، غفور (1385). ارزیابی عملکرد و بهبود مستمر سازمان. ماهنامه تدبیر، 16(173): 44-41.

-         طاهری، عصمت­السادات، یحیی­­تبار، فاطمه (1390). ارزیابی عملکرد سازمان تامین اجتماعی استان مازندران با استفاده از تحلیل پوششی داده­ها. سومین همایش ملی تحلیل پوششی داده­ها.

-         مرتضوی، کیوان (1380). راهبردها و خطی­مشی­های برنامه و بودجه سازمان. مجله سازمان تامین اجتماعی. 3(8): 261-253.

-         نصر اصفهانی، محمد (1389). بررسی و مقایسه کارایی و بهره­وری شرکتهای خودروسازی. نشریه علمی پژوهشی مدیریت فردا، 9(25): 108-97.

-         نوروز طالقانی، ابوالقاسم (1373). تامین اجتماعی ­آموزش کارگران. موسسه­ عالی پژوهش­ تامین اجتماعیI LO­ .

-          Anderson, P., &Petersen, N.C. (1993). A procedure for ranking efficient units in data envelopment  analysis. Management Science, 39(10): 1261-12.

-          Banker, R.D., & Charnes, A., &Cooper, W.W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9): 1078-1092.

-          Charnes, A., & Cooper, W.W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operation Research, 2(6): 429-444.

-          Cooper, W., &Seiford, L., &Tone, K. (2002). Data envelopment analysis a comprehensive text with models applications references, DEA solved software. Third Printing  By Kluwer academic publishers.

-          Hosseinzadeh Lotfi,F., &Noora, A.A.,& Jahanshahloo,G.R., &Reshadi,M.( 2013). One DEA ranking. method based on applying aggregate units. Expert Systems with applications.

-          Jahanshahloo, G.R, &Hosseinzadeh Lotfi, F., &Shoja, N., & Tohidi, G, Razavyan (2004). Ranking using L₁ norm in data envelopment analysis. Applied mathematics and computational, 153(1): 215-224.

-          Jahanshahloo, G.R., &Afzalinejad.M. (2006). A ranking method based on a full-inefficient frontier Applied Mathematical Modelling, 30(3): 248-260.

-          Jahanshahloo, G.R., & Hosseinzadeh Lotfi, F., & Shoja, N., Fallah Jelodar, M, Gholam abri, A. (2010. ( Ranking extreme and non-extreme efficint decision making units in Data Envelopment Analysis. Math Comput, APPl, 15:299-308.

-          Jahanshahloo, G.R.,& Hosseinzadeh Lotfi,F., &Shoja,N., &Gholam Abri,A., &Fallah Jelodar,M.,& Jamali Firouzabadi,Kamran.( 2011). Sensitivity analysis of inefficient units in data envelopment analysis. Mathematical and Computer Modelling, 53(5):587-596.

-          Jahanshahloo,G.R., &Hosseinzadeh Lotfi , F ., & Khanmohammadi ,M. , & Kazemimanesh,M., & Rezai.(2013). Ranking of units by positive ideal DMU with common weights.  Expert Systems with applications, 37(3):7483-7488.

-          Gholam Abri , A., &  Jahanshahloo, G.R., &  Hosseinzadeh Lotfi, F. ,&  Shoja. N., &  Fallah Jelodar, M. (2013) . A new method for ranking non-extreme efficient units in Data envelopment analysis. Optimization  letters, 7(1): 309-324.