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Multivariate control charts using earned value and earned duration management observations to monitor project performance

机译:使用赚取的价值和获得持续时间管理观察来监控项目性能的多变量控制图表

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This paper presents a statistical project control approach using multivariate T2 control charts to simultaneously monitor the duration and cost performance of projects. The approach uses the cost performance index, from earned value management, and the duration performance index (DPI) from earned duration management, to build the monitored statistic. The major contributions of this study are threefold. First, the use of a single chart to monitor both dimensions simplifies the project control system and decreases the false alarms rate. Second, a simulated sample was used to determine the control limits for each review period based on the allowable variation of each activity. Finally, the use of the multivariate approach to monitor the new DPI, which utilizes only time-based metrics, in contrast with more traditional methodologies that use cost-based data as proxies to assess the performance of a project's duration. The results of computational experiments demonstrate the good efficiency of the proposed T~2 control chart and suggest the new approach is a potentially promising alternative for simultaneously monitoring a project's cost and duration performance.
机译:本文介绍了使用多元T2控制图的统计项目控制方法,同时监控项目的持续时间和成本性能。该方法使用来自赢取值管理的成本性能指数,以及来自赢得持续时间管理的持续时间性能指数(DPI)来构建受监控统计信息。这项研究的主要贡献是三倍。首先,使用单个图表来监控两个尺寸都简化了项目控制系统,并降低了误报率。其次,基于每种活动的允许变异来使用模拟样品来确定每次审查期的控制限制。最后,使用多变量方法监控新DPI,其仅利用基于时间的度量,相反,与使用基于成本的数据的更传统的方法,以评估项目持续时间的性能。计算实验结果表明了提出的T〜2控制图的良好效率,并表明新方法是同时监测项目的成本和持续时间表现的潜在有希望的替代方案。

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