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Çevikbaş, M, Okudan, O and Işık, Z (2022) New Delay-Analysis Method Using Modified Schedule and Modified Updated Schedule for Construction Projects. Journal of Construction Engineering and Management, 148(11).
Asghari, V, Wang, Y, Biglari, A J, Hsu, S and Tang, P (2022) Reinforcement Learning in Construction Engineering and Management: A Review. Journal of Construction Engineering and Management, 148(11).
Fathi, M and Shrestha, P P (2022) Public–Private Partnership Project Performance Analysis Compared to Design-Build in Highway Projects. Journal of Construction Engineering and Management, 148(11).
Feng, H, Song, Q, Yin, C and Cao, D (2022) Adaptive Impedance Control Method for Dynamic Contact Force Tracking of Robotic Excavators. Journal of Construction Engineering and Management, 148(11).
Gibson, G E, Sanboskani, H, El Asmar, M and Aramali, V (2022) Employing Technology to Enable Remote Research Charrettes as a Method for Engaging Industry and Uncovering Best Practices: A Novel Approach for a Post-COVID-19 World. Journal of Construction Engineering and Management, 148(11).
González-Cruz, M, Ballesteros-Pérez, P, Lucko, G and Zhang, J (2022) Critical Duration Index: Anticipating Project Delays from Deterministic Schedule Information. Journal of Construction Engineering and Management, 148(11).
Hajarolasvadi, H and Shahhosseini, V (2022) A System-Dynamic Model for Evaluating the Effect of Person–Team Fit on Project Performance. Journal of Construction Engineering and Management, 148(11).
Hebiba, A M, Bouferguene, A, Moon, S and Han, S (2022) Wind-Wise Automated Stability Analysis for Selection of Tower Crane and Location. Journal of Construction Engineering and Management, 148(11).
Li, L, Luan, H, Yin, X, Dou, Y, Yuan, M and Li, Z (2022) Understanding Sustainability in Off-Site Construction Management: State of the Art and Future Directions. Journal of Construction Engineering and Management, 148(11).
Liu, J, Wang, Y and Wang, Z (2022) Effect of Pressure on Construction Company Compliance Attitudes: Moderating Role of Organizational Ethical Climate. Journal of Construction Engineering and Management, 148(11).
Ma, H, Lv, K, Zeng, S, Lin, H and Shi, J J (2022) Climbing the Pyramid of Megaproject Social Responsibility: Impacts of External Stakeholders and Project Complexity. Journal of Construction Engineering and Management, 148(11).
Moharrami, S, Bayat, A and AbouRizk, S (2022) Modeling Microtunnel Boring Machine Penetration Rate Using a Mechanistic Approach. Journal of Construction Engineering and Management, 148(11).
Sharif, M M, Chuo, S and Haas, C T (2022) Rapid 3D Quality Control in Prefabrication Using a 3D Digital-Templates Framework. Journal of Construction Engineering and Management, 148(11).
Sun, G, Sun, J and Li, F (2022) Influencing Factors of Early Termination for PPP Projects Based on Multicase Grounded Theory. Journal of Construction Engineering and Management, 148(11).
Zuo, F, Zio, E and Yuan, Y (2022) Risk-Response Strategy Optimization Considering Limited Risk-Related Resource Allocation and Scheduling. Journal of Construction Engineering and Management, 148(11).
- Type: Journal Article
- Keywords: Risk-response action (RRA); Resource-constrained project scheduling; Project risk management; Risk-related (RR) resource; Optimization;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002392
- Abstract:
Effective handling of project risks is an important part of project risk management. Various methods have been proposed to determine the optimal set of risk-response actions (RRAs) to mitigate the project risks. However, few existing methods incorporate resource planning into their selected RRAs. This paper integrates the risk-response problem with the resource-constrained project scheduling problem (RCPSP) and presents a method for allocating and scheduling the limited risk-related (RR) resources to provide project managers with an effective and feasible project risk-response strategy. Based on the elaboration of the relationships between the risk, the RRA, and the RR resource, a mixed-integer optimization model is developed to obtain the optimal risk-response strategy and the consequent project scheduling. A full-factorial numerical experiment is conducted to validate the optimization model and investigate the effects of risk-response efficiency and risk severity on project make-span and total cost. In addition, a model comparison analysis is presented to highlight the necessity of incorporating resource planning. The computational results show that, as expected, resource utilization can be improved by incorporating allocation and scheduling in the risk-response procedure. Also, the study suggests that project managers should avoid RR resource consumption and cost increases caused by excessive risk response in specific circumstances.