ارزیابی پروژه های در مقیاس بزرگ بر اساس CBA
|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|68274||2015||8 صفحه PDF||سفارش دهید||3303 کلمه|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Procedia Computer Science, Volume 64, 2015, Pages 736–743
Monte Carlo simulation has been applied in order to determine the share of particular benefits and the closest similar probability distribution of these shares to the total benefit of the project. Research results have confirmed that the largest share and the most severe inaccuracy in the total benefit is represented by savings in travel time costs. They have revealed that the share of this benefit has the logistic probability distribution with mean of about 77% and 20.72% of standard deviation. The inaccuracies of the particular benefits have been studied in international research. As a result, very large differences were found. That means that there is still a large space for exploration.