Ranking Technical- Vocational Training Colleges of Provincial Capitals with the Use of Data Envelopment Analysis (DEA) Technique (in Persian)

This paper is aimed at evaluating the performance and efficiency of technical-vocational training colleges. This could pave the ground for improving the efficiency of these colleges and determining the right amount of budget they need. This paper tries to answer the questions about the ways of evaluation the efficiency of technical-vocational colleges of provincial capitals and improving the efficiency of inefficient ones. Various methods could help in evaluating the performance of technical-Vocational colleges. One of them is DEA models. In DEA, a dummy unit is made up of combination of Decision-Making Units (DMU), i.e. selected technical-vocational colleges in this research. Then, the college is evaluated with the dummy unit and is classified in either efficient or inefficient group. DEA determines relative efficiency as BMUs are evaluated in relation to one another rather than compared with a pre-defined standard. In this study, firstly 28 technical-vocational colleges are selected and then outstanding inputs and outputs are chosen by professionals. The inputs are composed of number of facilities, number of students , training space , workshop space , and budget. The outputs are as follows: number of graduates, number of passes, the average of GPAs, the researches done by professors, and the researches done by students. Then, one of the DEA models, i.e. output-based modified secondary Charnes-Cooper-Rhodes (CCR) model is for each college. The solution of these models results in the distinction of two groups namely: efficient and inefficient. 20 colleges were evaluated as efficient and 8 ones as inefficient. The inefficient colleges were graded below point 1therefore it was possible to rank them. But all the colleges evaluated as efficient are graded point 1. hence, they were not rankable. Anderson ;Peterson (AP) Model were used for ranking these colleges. This model, in addition to considering previous results, offers a more complete ranking of all units classified. The most efficient unit was Shahid Shamsi-pour college in Tehran. That Means this technical-vocational college had more outputs with less inputs in relation to other colleges so, its efficiency was the highest. Afterwards, some solutions were offered to increase the efficiency of the inefficient colleges, using sensitivity analysis in the run model. Information was gathered either by library or field study. The information was analyzed with the use of DEA linear programming or with the help of conjugate variables.