Pakzad, A., Naderi, A. (2014). Presenting an Analytic Hierarchy Process- Assurance Region- Joint Multiple Layer Data Envelopment Analysis Model for Evaluating the Performance of an Educational System: A Case Study. International Journal of Research in Industrial Engineering, 3(4), 21-40.
A. Pakzad; A. Naderi. "Presenting an Analytic Hierarchy Process- Assurance Region- Joint Multiple Layer Data Envelopment Analysis Model for Evaluating the Performance of an Educational System: A Case Study". International Journal of Research in Industrial Engineering, 3, 4, 2014, 21-40.
Pakzad, A., Naderi, A. (2014). 'Presenting an Analytic Hierarchy Process- Assurance Region- Joint Multiple Layer Data Envelopment Analysis Model for Evaluating the Performance of an Educational System: A Case Study', International Journal of Research in Industrial Engineering, 3(4), pp. 21-40.
Pakzad, A., Naderi, A. Presenting an Analytic Hierarchy Process- Assurance Region- Joint Multiple Layer Data Envelopment Analysis Model for Evaluating the Performance of an Educational System: A Case Study. International Journal of Research in Industrial Engineering, 2014; 3(4): 21-40.
Presenting an Analytic Hierarchy Process- Assurance Region- Joint Multiple Layer Data Envelopment Analysis Model for Evaluating the Performance of an Educational System: A Case Study
Department of Industrial Engineering, University of ShahidBahonar, Kerman, Iran
Abstract
One of the major problems in organizations is resource limitation, so the main goal of each union is to maximize the usage of their recourses and improve its efficiency. Universities as a main body of each countries educational system have an important role in developing a country. Therefore, assessing the efficiency of universities and improving the quality of them are important goals. The method of the data envelopment analysis (DEA) can rank the efficiency while the number of indicators does not exceed the specific amount. But in measurement of the universities’ efficiency, main intention is toward considering a comprehensive set of indicators and in this case discrimination power of the DEA method decreases and its results are unacceptable. In this study, we present a combined model of the joint multiple layer DEA (MLDEA) model and weight restrictions method in order to try to eliminate the weakness of the mentioned method. Educational units of ShahidBahonar University of Kerman are evaluated and ranked as a case study. Empirical results shows the efficiency of presented model based on discrimination power, weight allocating and possibility of implementing this model in evaluating the function of activities, which have many indicators along with hierarchical structure.
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