تحلیل پوششی داده ها

The present study is the efficiency of Iranian industrial universities using non-parametric methods of data envelopment analysis and random border analysis parameter for input variables (number of incoming students, number of faculty members, number of staff and budget) and output (specific income, Has evaluated the number of students studying, the number of graduates and conference papers) and data extracted from statistical databases and documents of higher education for 20 industrial universities during the academic years 1392-1393 and 1393-1394 . Expressive research results; 1- Existence of inefficiency in university units; 2- Difference in the degree of inefficiency in different university units; 3- Decreasing the average efficiency of all selected universities in 1393 compared to 1394; 4- Decreasing the average educational efficiency and increasing the average research efficiency of selected universities at the time of the study; 6- No heterogeneity of data variance in random boundary analysis test; And 7- Coordination between some explanatory variables, including faculty members and budget in the variance inflation test. In the random border analysis method, in addition to technical inefficiency, random inefficiency and the coefficient of elasticity of inputs on education and research outputs were also estimated to draw a favorable roadmap for policy makers and decision makers of academic units to make effective decisions.

The main objective of this research is to evaluate the efficiency of nine educational regions of North Khorasan Province in the academic year of 1996-97 by using data envelopment analysis method. In this method, a set of functions and features of educational areas are considered as input and output indicators. And, given the importance and impact of the indicators on total performance, the rational balance of outputs on the total amount of inputs is calculated and evaluated as the efficiency of the regions. To evaluate the efficiency of nine educational regions of North Khorasan province, data on teachers, schools, students and human resources from the Department of Education and Development of North Khorasan Province have been collected. Data envelopment analysis method has been used by using three inputs and two output indicators. In addition to assessing the efficiency of each area, efficient collections, reference patterns, desirable inputs and outputs, inadequate units, strengths and weaknesses of each region, and the status of resource use.

Evaluating the proficiency of universities, examining the causes of their efficiency and inefficiency are very important for revising inefficient units. In this research, for efficiency evaluation of the faculties of Persian Gulf University, data envelopment analysis approach and the ideal planning model are used. This method is one of the non-parametric techniques of operations research with a comprehensive and integrated view, which taking into account all the factors affecting the performance of units, it is possible to identify inefficient units. In general, it is difficult to evaluate universities and identify inefficient units due to the complexity and breadth of inputs and outputs using classical methods. Here, a case study has been conducted to evaluate the relative efficiency of the faculties of engineering, humanities, management and economics in the 99-98 academic year of Bushehr Persian Gulf University. First, by examining the background of similar research, inputs and outputs related to the performance of the faculties were identified. Then, by collecting the relevant data from the database of Persian Gulf University, field of mathematical modeling based on the data envelopment analysis approach was prepared with help of Lingo. The results indicate different levels of efficiency and superiority of the Faculty of Economics.

Higher education in Iran has excessively increased in the past years resulting in high numbers of unemployed engineers. However, railway engineering major that has been established by the direct support of the railway industry and due to its needs, had a positive impact on strengthening the workforce. In this research, the experience of this school is reviewed. Afterwards by using data envelopment analysis, the efficiency of 19 regions of Iranian railways are analyzed based on their human resources. The results of the model show that the least excess of employees belongs to the graduate degree and higher with just 2 percent, underlying the fact the correct policy have been adopted so far. Efficient regions are Fars, Jonoob Shargh, Shomal Gharb, Tehran and Lorestan. Maximum excess employees were seen at Shargh region with 30 and 21 persons for graduate and higher and associate degree, while the highest rate of excess employees with diploma or lower degree belonge to Hormozgan region. In total, 14 percent of railway employees with diploma degree or lower are redundant that must be taken into consideration for future employments so that the least new employments be done in this category.

Performance appraisal plays an important role in determining faults and difficulties of any organization. Technical and Vocational Training is incurring heavy expenses in every country. This study presents the development of a conceptual framework which aims to assess Technical and Vocational Training centers from multiple perspectives. The level of efficiency in Technical and Vocational Training centers is a good criterion to understand how they consume their resources. In this research, relative efficiency of 13 Technical and Vocational Training centers of Yazd in the Persian calendar year 2010-2011 is calculated using data envelopment analysis technique (DEA) and balanced scorecard (BSC). BSC has been used as a tool to design performance appraisal indexes in four perspectives (financial, Customers, internal processes, learning and growth). DEA, as a non parametric method, is one of the most important and significant management tools for measurment of outputs or efficiency and ranking. On this basis, Sadoogh center had 100% efficiency in all four perspectives of BSC, and Taft center with .592 efficiency had the lowest one. Total performance score of centers is 0.869 in the financial perspective, 0.848 in customer, 0.763 in internal processes, and 0.733 in learning and growth. By integrating the BSC and the DEA approach this research helps to identify where there is room to improve organizational performance and points out opportunities for reciprocal learning between centers (DMUs). This article provides a set of recommendations relating to successful application of DEA and its integration with BSC, in order to promote a continuous learning process to present solutions for improvement of performance quality levels of inefficient units in those four perspectives and also to determine the most productivity scale size (MPSS) in any perspective for inefficient centers.