Evaluation of University Performance by a Lexicographic Goal Programming Model with an Educational and Research Approach (Case Study: Shahed University).
Subject Areas : Industrial ManagementSaeed Safari 1 , Hossein Sabzian 2
1 - Ph. D in Operation Research, Faculty of Human Sciences, Shahed University
2 - M.A Student in management, Faculty of Human sciences, Shahed University
Keywords:
Abstract :
Institutions of higher education (both public and private) are among the most important institutions of a country. Several economic factors have forced them to embark on improving the cost-effectiveness and cost-effectiveness of their activities and the quality of their products (outputs) is strongly expected. Such issues have lead universities to focus on profit-making activities and commercialization like manufacturing industries. This inclination is grounded in the fact that manufacturing industries that work under an efficient management system can produce very high-quality products. In fact, there is no such a model for academic contexts. Therefore, this paper is aimed at offering such a model. The coefficients and constants used in this model have all been extracted based on analyzing research and educational aspects of the University. The proposed model is an integer linear Goal programming model which has 36 decision variables that are broken down into two classes of university sources variables (15) and university products variables. The model also includes 49 Goals, 7 structural constraints, and 20 integer variables. At the end of the paper, the current situation is compared with the recommended one and it shows that many of the variables are suboptimal except variables of research and educational officials ( ), graduate ( ) and Ph.D. ( ) night course students number. The comprehensiveness of this model enables managers to plan the smallest research and educational activities and its solutions can be used by managers as applied guidelines.
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_||_1- Akin.L. Ogunlade. (2008). Resource Allocation: a multi-model, a multi-goal approach, Economics of Education Review, 27(1).
2- ABS.(2007), Australian Bureau of Statistics, Research and Experimental Higher
3- Caballero R, Francisco Ruiz M, Victoria U, Carlos R. (2006). Interactive Meta Goal Programming, European Journal of Operational Research, 175, 135-154.
4- Caballero, R. Golache T. Gomez T., Molina J and Torrico A. (2001). Efficient Assignment of Financial Resources within a university system: case study of university of Malage”, European Journal of Operation Research,133.
5- CAUC, Association of Universities and colleges of Canada report, (2006).
6- D. Jones, M. Tamiz .(2010). Practical Goal Programming, International Series in Operations Research & Management, Science 141, Springer Science & Business Media, 2-5
7- DME.(2010), Development of Education 2006-2010. Denmark ministry of Education
8- EW Publications. (2003). Eastern Washington university strategic resource allocation model, 38-52
9- G.P. White. (1987). The implementation of management science in higher education administration. Omega 15(4), 283-290.
10- H. Williams. (2005). Planning for Effective Resource Allocations in Universities. American Council on Education, Washington, D.C.
11- HEFCE Publications. (2005). Performance indicators in higher education in The UK
12- Jones. Dylan. (2011). A practical Weight sensitivity algorithm for goal and multiple objective programming, European Journal of operational Research, 213, 238-245.
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18- Publication Office. (2008). China national Report, pp 20-35.
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21- UNESCO Report. (1999). UNESCO Publication, 10-15.