data envelopment analysis

The objective of this research is comparing of relative efficiency of main ports in Iran and identifying efficient ports and also determining the most efficient port between them. The method of this research is descriptive and applied research and statistical society is consist of eleven important ports in Iran. Method of data analysis is in accordance with Data Envelopment Analysis (DEA) method. The importance of this research is that, ports by knowing rate of their efficiency will try to increase strength and decrease their weakness to become as a model in a competitive environment. In this method, at first, by using of Analytical-Hierarchy-Process (AHP) method we calculate normal matrix and attribute average for each port and then, find normal matrix of input and output data of ports. The DEA (BCC, CCR) method is used for determining coefficient of efficiency of ports and finding out efficient and non-efficient ports and finally, for determining the most efficient port it is used the Anderson-Peterson method(AP). The Lingo software is used for calculation and analyzing of models. The results of this research indicate that between eleven ports, 6 efficient ports and 5 non-efficient ports are recognized and the port of Shahid Rajaee is the most efficient port amongst them

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.

Today, despite the technology of the schools and growth and advancement of technology, the role of management, efficiency and performance evaluation as a vital and strategic factor in the survival of the organization is evident. Schools performance Evaluation and, consequently, schools management is one of the complex issues in education, which has been underestimated. In the past studies in this area, less can be achieved through an objective study, which results in the evaluation and ranking of schools efficiency and presentation of the school performance score. Hence, the researchers use non-convex data envelopment analysis model to evaluate the efficiency of schools. This model is able to present a score of school performance and rank them and due to the use of mathematical modeling, it is valid. Therefore, in this paper, the researcher presents a mathematical model for high school performance efficiency in Rostam city. In this descriptive study, 15 Rostam High Schools were evaluated. Then, by using the views of Education specialists, the schools input and output indicators are extracted and the data envelopment analysis model (FDH) is designed. The model is solved with the GAMS software and the results are presented. The results show, 10 high schools were efficient and 5 are inefficient. Finally, we also analyze the results and rank the effective units.

Regarding the importance of efficiency measurement in academic centers and universities, the present study attempted to evaluate the efficiency of twelve Schools of Yazd University through the Goal Programming Cross-Efficiency approach. The research population included twelve Schools of Yazd University. The required data were collected through conducting interviews and extracting data related to variables of all faculties. As such, the sample size and population size were hypothesis as equal. The results of the evaluation showed that the Faculty of Management was embedded with the highest efficiency and it was the most efficient faculty. Next, Faculties of Literature, Social Sciences and Mathematics ranked second to fourth in terms of efficiency.

Quantitative research, based on the positivist paradigm, seeks to provide explanations based on universal rules, and its main purpose is an objective measurement, testing hypotheses, prediction and control. Meanwhile, "performance evaluation" is also one of the four elements of the knowledge of organization and management, which measures and assesses the status quo. So that it can be used as the basis for deciding whether to continue, modify or prevent the ongoing work. Accordingly, identifying the effective indicators on the performance, measuring the performance of the units under evaluation and recognizing their strengths and weaknesses is of great importance. Today, data envelopment analysis (DEA) is a method for comparing and evaluating the relative efficiency of the units under evaluation, that, each has similar multiple inputs and outputs. This paper reviews and analyzes the data envelopment analysis method as one of the best and most widely used tools in quantitative research.

This paper aimed to explain relative efficiency of educational departments of Zanjan province using Data Envelopment Analysis (DEA) technique. The study used quantitative approach and a descriptive-cross sectional methodology by investigation in official documents. To determine the efficiency, using a questionnaire, viewpoints of experts about input and output variables were gathered and then the appropriate ones were seleceted by Borda technique. By using Slack method, from 14 education offices, seven offices determined as efficient and the others as inefficient. To use the findings of the research in planning and benchmarking, optimum values of each education offices were presented to be used as quantitative objectives in goal setting and planning.

The importance of optimal resources allocation in universities can be examined from the perspective of development plan. In this plan-regarding implementation of government policies- universities have a responsibility to change their budgeting system from plan based to performance based. The purpose of this paper is to construct a GP model to budget allocation for university so that the budget is allocated not only to priority based plan but also to Faculties based on student per Capita by the Ministry of Science، Researches and Technology. Considering the various criteria in the university system and because of Fuzzy uncertainties in the problem parameters، a Fuzzy Goal Programming budgeting model was designed. A gist in designing a model is the use of efficiency coefficient—calculated based on Data Envelopment Analysis approach (DEA) along a basic model of input-oriented CCR-for determining the importance coefficient for each educational group in order to allocate budget. In addition، the weights of goals and the priority of each plan were determined using some paired comparison questionnaires completed by experts. The Fuzzy GP model included 5 goals، 899 constraints and 508 decision variables. Solution results for Fuzzy Model and its comparison with deterministic model and actual data regarding the University studied in 2010 indicated efficiency improvement by this model in budget allocation so that by less budget spending، a significant improvement in achieving the goals and objectives will happened.

Most science production and commercialization، universities and education institutes are expected to take advantage of their resources most effectively and efficiently. Among educational departments، technical and engineering departments of universities and educational institutes play the more important role for research and development (R&D) outputs. The purpose of this paper is to take advantage of a model for evaluation of R&D performance of technical and engineering department of universities and educational institutes in both production and publication of science via network data envelopment analysis mechanism. For survey population، eight technical and engineering departments were selected in Yazd University to evaluate their R&D outputs. Their evaluations were preformed from two point of views; production and publication of science. Their production science also evaluated from two perspectives; first، the grants of researchers and educators، and the other، the number of papers، published books، research proposals and discoveries. From publication of science point of view، papers، published books، proposals، dissertations، registered inventions and discoveries، the sum of proposals، the sum of education and consultation contracts، the sum of supported dissertations and the sum of commercialized inventions were used. The results show that seven out of eight departments of science production and six out of eight departments of science publication are neither effective nor efficient.

the purpose of this study was to design the mathematical combination model for improving evaluation measurements in the Departments of Management in higher education centers in the country. This study was formed on the basis of the Data Envelopment Analysis technique, but in order to increase accuracy in assessing the performance of Departments and to identify the efficiency and inefficiency units, a model that combines Data Envelopment Analysis technique with designed Goal programming was used to measure performance of Management Departments. The study was descriptive and cross-sectional in nature. Departments that were used to test the model, related to faculties of management at 12 universities across the country including Faculties of Management of Tehran University, Allameh Tabatabaei, Shahid Beheshti University, Al-Shahed, International Imam Khomeini, Gilan, Mazandaran, Shiraz, Isfahan, Mashhad Ferdowsi, and the Shahid Chamran. The results of this study showed the higher ability of the combined model of separation of departments in comparison with the basic Data Envelopment Analysis model.

Main purpose of this research was efficiency evaluation of human science faculties of Shahid Chamran university via data envelopment analysis. Methodology of this research was analytical-descriptive. Five human science faculties of Shahid Chamran university (Physical Education, economics Education & Social Psychology, Literature and Humanities, and Theology) in a four-year period were studied. The required quantitative data were collected from these units, after weighting were divided into input indices including “staff, budget” and three output indices consisting of “education, research and services”. By performing the model in three different ways, expected efficiency was calculated for each faculty. Results indicated that in the first state involving two inputs and one output (education), only economics faculty was efficient and Theology, Literature, Education and Psychology and Physical Education were inefficient. In the second state, with two inputs and one output (research) only Education and Psychology Faculty was efficient and economics, Theology, Literature and Physical education faculties were inefficient respectively (ranking 2nd-5th). In the third state, with two inputs and one output (services) only Physical Education faculty was efficient and Literature, Economics, Theology and Education and Psychology were inefficient respectively (ranking 2nd-5th). In the fourth state, with two inputs and three outputs (education, research and service), all five faculties including Education and Psychology, Physical Education, Economics, Literature and Theology faculties were efficient respectively (in a descending orders). This means that Physical Education Faculty, despite it's limitations in comparison with other Human Science faculties, has an efficiency on par with other better equipped faculties. This indicates that this faculty plays a vital role in promoting sports and physical activities in society.