Controlling the schedule risk in green building projects: Buffer management framework with activity dependence

Controlling the schedule risk in green building projects: Buffer management framework with activity dependence
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控制绿色建筑项目的进度风险:具有活动依赖的缓冲管理框架

DOI:
10.1016/j.jclepro.2020.123852
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发表时间:
2021
影响因子:
11.1
通讯作者:
Xue Bai
Xue Bai
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Lei Xiao;Li Bie;Xue Bai

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绿色建筑(GB)项目在项目执行阶段需要进度风险控制方法来更好地交付项目,因为创新的技术和工具会产生更高的风险。进度监控技术和纠正措施方法在准确有效地控制进度风险方面发挥着重要作用。信息通信和信号发射的延迟最终会导致纠正措施实施的后续延迟。因此,本文提出了一种改进的缓冲管理方法来动态控制绿色建筑项目的进度风险。我们基于激光雷达技术和四维(4D)设计模型来识别实际进度的偏差,以便及时准确地确定缓冲消耗的水平。该方法考虑了受风险因素影响的活动依赖特性,根据活动依赖参数动态调整缓冲阈值,产生精确的预警信号。在此基础上,提出了符合条件的速递活动和速递数量具有可持续性的速递活动崩溃策略。为了获得建议方法的性能,我们还使用计算研究将建议方法与传统的缓冲区监控程序进行比较。结果表明,该方法在控制努力上具有较好的性能,在完成度上具有基本相同的性能。这不仅有助于改善项目交付,而且如果用于控制GB项目执行阶段的进度风险,还有助于减少温室气体(ghg)排放和环境影响。
Green building (GB) projects require the schedule risk control method for better project delivery during the project execution phase because of the associated higher risks generated by the innovative technologies and tools. The progress monitoring technology and the corrective action approach play an important role in controlling the schedule risk in an accurate and efficient manner. The delay in the information communication and signal emission can ultimately cause subsequent delays in implementing the corrective action. Therefore, we propose an improved buffer management approach to dynamically control the schedule risk in green building (GB) projects in this paper. We identify the deviations of the actual progress based on lidar technology and four-dimensional (4D) design models in order to determine the level of buffer consumed in a timely and precise manner. This method considers the characteristics of activity dependence affected by the risk factors, and dynamically adjusts the buffer thresholds based on the activity dependence parameter to produce precise early warning signal. Furthermore, the proposed method develops an activity crashing strategy with sustainability on the eligible expediting activities and the amount of expediting. We also use a computational study to compare the suggested method with traditional buffer monitoring procedures in purpose of getting the performance of the suggested approach. The results show that the suggested approach has better performance on control effort, and almost the same performance on completion. This not only helps to improve project delivery, but also helps to reduce greenhouse gases (GHGs) emissions and environmental impacts if it is used to control for schedule risks in the execution phase of GB projects.
DOI: 10.1016/j.jclepro.2015.11.042
发表时间: 2016-03
影响因子: 11.1
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