ارزيابي و بهبود عملكرد هشت شبكه آبياري كشور با انجام تحليل حساسيت در مدل هاي تحليل پوشش داده ها

Performance evaluation and improvement of eight irrigation networks using sensitivity analysis on data envelopment analysis models

In this research Data Envelopment Analysis (DEA) method is used to evaluate the performance of irrigation system and determine their performance standards. In addition, sensitivity analysis is applied to indicate the impact of different alternatives on the performance improvement quantitatively. This technique is applied on eight irrigation system to evaluate the performance from different point of views such as physical system, management system, input, output, monatry view and job creation. Sensitivity analysis is applied on each one of inputs and the impact of their variation on performance improvement is determined. The results of the research could be summerised as Zayandeh rood system has the highest and Minab and Varamin systems have the lowest ranking level from both physical and management point of views. For performance improvement the priority for investment is on both physical and management systems. Sensitivity analysis on Minab system indicates that reducing non of the input indicators individually, down to the corresponding reference level, would not lead to complete improvement of the system. However reducing the input indicators of machinery, network, personnel and costs will improve the performance up to 0.561, 0.548, 0.472 and 0.278 respectively. Using DEA method and sensitivity analysis it is possible to indicate the ranking of system, priority of performance improvement alternatives and impact of the variation of each input on the performance level.