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A LOGNORMAL APPROXIMATION OF ACTIVITY DURATION IN PERT USINGTWO TIME ESTIMATES

机译:使用两次时间估计的Pert活动持续时间的对数逼近

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The success behind effective project management lies in estimating the time for individualactivities. In many cases, these activity times are non-deterministic. In such situations, theconventional method (PERT) obtains three time estimates, which are then used to calculate theexpected time. In practice, it is often difficult to get three accurate time estimates. A recentpaper suggests using just two time estimates and an approximation of the normal distribution toobtain the expected time and variance for that activity. In this paper, we propose an alternatemethod that uses only two bits of information: the most-likely and either the optimistic or thepessimistic time. We use a lognormal approximation and experimental results show that ourmethod is not only better than the normal approximation, but also better than the conventionalmethod when the underlying activity distributions are moderately or heavily right skewed.
机译:有效的项目管理背后的成功在于估算个人的时间 活动。在许多情况下,这些活动时间是不确定的。在这种情况下, 传统方法(PERT)获得三个时间估算值,然后将其用于计算 预计时间。在实践中,通常很难获得三个准确的时间估计。最近 论文建议仅使用两个时间估计值和正态分布的近似值 获得该活动的预期时间和方差。在本文中,我们提出了一种替代方案 仅使用两位信息的方法:最有可能的信息以及乐观信息或 悲观的时间。我们使用对数正态逼近,实验结果表明 该方法不仅优于常规近似,而且优于常规近似 当基础活动分布适度或严重右偏时的方法。

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