Calculation of Buffer Zone Size for Critical Chain of Hydraulic Engineering Considering the Correlation of Construction Period Risk

Due to their large scale, long duration, complex geological conditions, and multiple stakeholders, water conservancy engineering projects are subject to diverse, interrelated, and uncertain risk factors that affect the construction timeline. Traditional critical chain buffer calculation methods, such as the cut-and-paste method and the root variance method, typically assume the independence of risks, which limits their effectiveness in addressing schedule delays caused by correlated risk events. To overcome this limitation, this paper proposes a novel critical chain buffer calculation approach that explicitly incorporates risk correlation analysis. A fuzzy DEMATEL-ISM-BN model is employed to systematically identify the interrelationships and influence pathways among schedule risk factors. Bayesian network inference is then used to quantify the overall occurrence probability while accounting for risk correlations. By integrating critical chain management theory, risk impact coefficients are introduced to improve the traditional root variance method, resulting in a buffer calculation model that captures interdependencies among schedule risks. The effectiveness of the proposed model is validated through a case study of the X Pumped Storage Power Station. The results indicate that, compared with conventional methods, the proposed approach significantly enhances the robustness of project schedule planning under correlated risk conditions while appropriately increasing buffer sizes. Consequently, the adaptability and reliability of schedule control are improved. This study provides novel theoretical tools and practical insights for schedule risk management in complex engineering projects.

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Publication Details

Journal
Buildings
Published
2026-01-29
DOI
https://doi.org/10.3390/buildings16030557
Citations
1
Primary Topic
Resource-Constrained Project Scheduling
Type
article
Field-Weighted Citation Impact
58.08
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article

Calculation of Buffer Zone Size for Critical Chain of Hydraulic Engineering Considering the Correlation of Construction Period Risk

Shengjun Wang, Xiangtian Nie, Junqiang Ge, Zihang Hu et al.
1 citations
Buildings
Resource-Constrained Project Scheduling
58.08
article

Calculation of Buffer Zone Size for Critical Chain of Hydraulic Engineering Considering the Correlation of Construction Period Risk

Shengjun Wang, Xiangtian Nie, Junqiang Ge, Zihang Hu, Jianuo Gu, Shengwei Su, Jikun Zhang
article en
1 citations

Abstract

Due to their large scale, long duration, complex geological conditions, and multiple stakeholders, water conservancy engineering projects are subject to diverse, interrelated, and uncertain risk factors that affect the construction timeline. Traditional critical chain buffer calculation methods, such as the cut-and-paste method and the root variance method, typically assume the independence of risks, which limits their effectiveness in addressing schedule delays caused by correlated risk events. To overcome this limitation, this paper proposes a novel critical chain buffer calculation approach that explicitly incorporates risk correlation analysis. A fuzzy DEMATEL-ISM-BN model is employed to systematically identify the interrelationships and influence pathways among schedule risk factors. Bayesian network inference is then used to quantify the overall occurrence probability while accounting for risk correlations. By integrating critical chain management theory, risk impact coefficients are introduced to improve the traditional root variance method, resulting in a buffer calculation model that captures interdependencies among schedule risks. The effectiveness of the proposed model is validated through a case study of the X Pumped Storage Power Station. The results indicate that, compared with conventional methods, the proposed approach significantly enhances the robustness of project schedule planning under correlated risk conditions while appropriately increasing buffer sizes. Consequently, the adaptability and reliability of schedule control are improved. This study provides novel theoretical tools and practical insights for schedule risk management in complex engineering projects.

BuildingsVol. 16(3)
State Grid Corporation of China (China) (CN), North China University of Water Resources and Electric Power (CN), Taishan University (CN), Taishan Medical University (CN)
Clean water and sanitation
Openalex Percentile: Top 0%
Resource-Constrained Project Scheduling
58.08
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