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Combining Parametric and CPM-based Integrated Cost-Schedule Risk Analysis

机译:结合参数化和基于CPM的综合成本计划风险分析

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Parametric modelling ("P") of systemic risk plus expected value (EV) modelling of project specific risks to quantify project contingency is described in detail by John K Hollmann in his book "Project Risk Quantification" which highlights the value of empiricism to forecast project cost and schedule outcomes, consistent with AACE RP 40R-08. Hollmann recommends the combined P+EV methodology as reliable, easy to perform and not requiring the use of Critical Path Method (CPM). However, the assessment of schedule risk is not straightforward without use of a CPM schedule. CPM-based Integrated Cost-Schedule Risk Analysis (ICSRA), described in RP 57R-09, represents the most common approach recognised by AACE used to quantify contingencies. Even more common in practice are CPM-based non-integrated methods using schedule risk analysis (SRA) feeding into separate cost risk analysis (CRA). All of these CPM-based variants can only refer to past project performance through expert opinions and they are criticised for failing to forecast adequate cost contingency. But when practised carefully using good quality schedules, ICSRA is a good predictor of schedule contingency and enables schedule risk and thus time-dependent cost risk optimisation. Combining parametric modelling of systemic risk with CPM-based ICSRA is considered invalid because the parametric forecasting covers all project risk except major project specific risk events. This paper describes a valid method of combining P+ICSRA, to optimise schedule risk and forecast realistic cost contingency. It describes experience implementing this methodology.
机译:John K Hollmann在他的《项目风险量化》一书中详细描述了系统风险加项目特定风险的期望值(EV)模型的参数化建模(P),以量化项目应急费用,该书强调了经验主义对预测项目的价值成本和进度结果,与AACE RP 40R-08一致。 Hollmann建议将P + EV组合方法可靠,易于执行且不需要使用关键路径方法(CPM)。但是,如果不使用CPM时间表,则时间表风险的评估并不简单。 RP 57R-09中描述的基于CPM的综合成本计划风险分析(ICSRA)代表了AACE公认的用于量化突发事件的最常见方法。在实践中,甚至更常见的是基于CPM的非集成方法,该方法将进度风险分析(SRA)输入单独的成本风险分析(CRA)。所有这些基于CPM的变体都只能通过专家的意见来参考过去的项目绩效,并且因未能预测足够的成本偶然性而受到批评。但是,如果使用高质量的计划表进行认真练习,则ICSRA可以很好地预测计划表意外事件,并可以实现计划表风险,从而优化与时间相关的成本风险。将系统性风险的参数化模型与基于CPM的ICSRA结合起来被认为是无效的,因为参数化预测涵盖了除主要项目特定风险事件以外的所有项目风险。本文介绍了一种有效的方法,可以结合使用P + ICSRA来优化进度计划风险并预测实际的费用意外开支。它描述了实施此方法的经验。

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