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Level: Intermediate
TCM Section(s):
5.2. Asset Performance Measurement
10.1. Project Performance Assessment
Venue: 2021 AACE International Conference & Expo
Abstract: Earned value analysis (EVA) is used for reporting work progress and forecasting project status at completion. Critical to its reliable application is accurate and timely data for quantifying the earned progress. Traditional analysis and reporting methods place considerable load on project controls team due to the large amount of data that needs processing and the inter-dependency between the data. To address those challenges, this paper presents automated data analysis & reporting framework and its implementation software. The developed framework makes full use of building information modeling (BIM) to provide visualization and pertinent information of activities. The developed framework embraces the human factors to augment the visualization-information aspects and automated site data acquisition. The developed model demonstrates the significance of data fusion of a wide range of automated site data acquisition technologies and BIM. The developed framework and algorithms are implemented in prototype software Control+. It is three-tier web-based software for processing, analyzing, and reporting the captured data. The developed model can generate reports in different granularity (i.e. project, activity, object, and resource levels) and time windows (i.e. daily, weekly, and monthly). The paper reinforces this through applying the framework and the implementation software to real project.
Level: Intermediate
TCM Section(s):
5.2. Asset Performance Measurement
10.1. Project Performance Assessment
Venue: 2021 AACE International Conference & Expo
Abstract: Earned value analysis (EVA) is used for reporting work progress and forecasting project status at completion. Critical to its reliable application is accurate and timely data for quantifying the earned progress. Traditional analysis and reporting methods place considerable load on project controls team due to the large amount of data that needs processing and the inter-dependency between the data. To address those challenges, this paper presents automated data analysis & reporting framework and its implementation software. The developed framework makes full use of building information modeling (BIM) to provide visualization and pertinent information of activities. The developed framework embraces the human factors to augment the visualization-information aspects and automated site data acquisition. The developed model demonstrates the significance of data fusion of a wide range of automated site data acquisition technologies and BIM. The developed framework and algorithms are implemented in prototype software Control+. It is three-tier web-based software for processing, analyzing, and reporting the captured data. The developed model can generate reports in different granularity (i.e. project, activity, object, and resource levels) and time windows (i.e. daily, weekly, and monthly). The paper reinforces this through applying the framework and the implementation software to real project.