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Sensitivity analysis in PERT networks: Does activity duration distribution matter?

机译:PERT网络中的敏感性分析:活动持续时间分布重要吗?

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The Program Evaluation and Review Technique (PERT) is a stochastic network technique developed in the late 1950s. The original model assumes PERT beta distribution for the activity durations. Later on, this was criticized by many researchers, and several new distribution types have been introduced, which were believed to be better in modelling the real activity duration distributions or were easier to handle from a mathematical point of view. Introduction of new activity duration distributions was criticized even by Clark one of the pioneers of PERT while other researchers were arguing that these new activity distributions could better describe the stochastic distributions of the activity durations and their application helps define the distribution of project duration better. In the course of our research, we have investigated the effect of various activity duration distribution types (PERT-beta, uniform, triangular, lognormal) on the project duration, as well as the impact of the inaccuracy of the activity durations' estimation when performing the PERT three-point estimation. Our basic assumption that the differences in the distribution of the project duration caused by using different activity duration distributions are not considerable compared to the differences caused by the inaccuracy of the three-point estimations has been tested on several hypothetical projects and case studies. Four different distributions have been applied, one at a time. The aim has been to clearly show the differences between the results of the application of the selected distributions, therefore the distributions have not been mixed. Monte Carlo analysis has been used to create the probabilistic distributions of the projects.
机译:程序评估和审查技术(PERT)是一种1950年代后期开发的随机网络技术。原始模型假定活动期间的PERT beta分布。后来,许多研究人员对此进行了批评,并引入了几种新的分布类型,这些分布类型被认为在建模真实活动持续时间分布方面更好,或者从数学角度来看更易于处理。甚至PERT的先驱之一克拉克(Clark)也批评引入新的活动持续时间分布,而其他研究人员则争辩说,这些新的活动分布可以更好地描述活动持续时间的随机分布,其应用有助于更好地定义项目持续时间的分布。在我们的研究过程中,我们调查了各种活动持续时间分布类型(PERT-beta,均匀,三角形,对数正态)对项目持续时间的影响,以及活动持续时间估算的不准确性在执行时的影响PERT三点估计。我们在几个假设的项目和案例研究中检验了我们的基本假设,即使用不同的活动持续时间分布所导致的项目持续时间分布的差异与由于三点估计的不准确性所引起的差异相比并不重要。应用了四种不同的分布,一次分布一次。目的是清楚地显示所选分布的应用结果之间的差异,因此没有混合分布。蒙特卡洛分析已用于创建项目的概率分布。

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