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A dynamic resource buffer early warning and control approach for construction projects based on information coupling

delete2026-06-22
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PRE
AI
D
Dan Wan
Y
Yaodan Zhang
C
Chuanwang Sun *
DOI:10.1080/15623599.2026.2687478delete
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Abstract

Abstract

En 中文
Existing research on critical chain buffer management has primarily focused on project and feeding buffers, while studies on resource buffer management remain relatively underexplored. To fully utilize resource buffers as early warning mechanisms, this paper proposes a novel resource early warning and control method for construction projects based on information coupling. First, the impacts of resource warnings and information coupling on critical chain project execution are analyzed. A Dependency Structure Matrix (DSM) is introduced to model the information coupling among activities, and the rework warning time window is quantified based on the degree of activity overlap. Next, a model for the sizing resource buffer warning window is developed by incorporating factors such as the probability of activity delay, resource transfer time, resource downtime cost and rework risk under information coupling. Furthermore, a dynamic trisection approach is adopted to define warning zones of varying intensities and corresponding action-triggering strategies based on the proximity of activity execution to resource switching points. Experimental results demonstrate that the proposed method outperforms the classic method in terms of project duration and cost, schedule overrun probability, time buffer consumption ratio, and project duration probability distribution, thereby enhancing critical chain execution efficiency and overall project performance.
Keywords:
Critical chain project management
information coupling
buffer control
resource warning time window
construction project

Journal

I
International Journal of Construction Management
IF:
3.4
Papers:
255
Citations:
0

Organization

N
nanchang university
Scholars:
7.5K
Papers: 2.0K
Citations: 0
X
xiamen university
Scholars:
5.7W
Papers: 3.7W
Citations: 67