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Bingham, E, Gibson, G E and Asmar, M E (2018) Measuring User Perceptions of Popular Transportation Project Delivery Methods Using Least Significant Difference Intervals and Multiple Range Tests. Journal of Construction Engineering and Management, 144(06).

Chang, C and Yu, S (2018) Three-Variance Approach for Updating Earned Value Management. Journal of Construction Engineering and Management, 144(06).

de la Garza, J M and Pishdad-Bozorgi, P (2018) Workflow Process Model for Flash Track Projects. Journal of Construction Engineering and Management, 144(06).

El-adaway, I H, Abotaleb, I S, Eid, M S, May, S, Netherton, L and Vest, J (2018) Contract administration guidelines for public infrastructure projects in the United States and Saudi Arabia: comparative analysis approach. Journal of Construction Engineering and Management, 144(06), 04018031.

Guo, H, Yu, Y, Ding, Q and Skitmore, M (2018) Image-and-Skeleton-Based Parameterized Approach to Real-Time Identification of Construction Workers’ Unsafe Behaviors. Journal of Construction Engineering and Management, 144(06).

Ham, N, Moon, S, Kim, J and Kim, J (2018) Economic Analysis of Design Errors in BIM-Based High-Rise Construction Projects: Case Study of Haeundae L Project. Journal of Construction Engineering and Management, 144(06).

Han, Y, Li, Y, Taylor, J E and Zhong, J (2018) Characteristics and Evolution of Innovative Collaboration Networks in Architecture, Engineering, and Construction: Study of National Prize-Winning Projects in China. Journal of Construction Engineering and Management, 144(06).

Kosonen, H K and Kim, A A (2018) Mental Model Approach to Wastewater Treatment Plant Project Delivery during Emergency Response. Journal of Construction Engineering and Management, 144(06).

Kwon, N, Song, K, Lee, H, Kim, J and Park, M (2018) Construction Noise Risk Assessment Model Focusing on Construction Equipment. Journal of Construction Engineering and Management, 144(06).

Liu, D, Lu, W and Niu, Y (2018) Extended Technology-Acceptance Model to Make Smart Construction Systems Successful. Journal of Construction Engineering and Management, 144(06).

Liu, X, Song, Y, Yi, W, Wang, X and Zhu, J (2018) Comparing the Random Forest with the Generalized Additive Model to Evaluate the Impacts of Outdoor Ambient Environmental Factors on Scaffolding Construction Productivity. Journal of Construction Engineering and Management, 144(06).

Liu, Z, Wang, H and Li, H (2018) Model of Equipment Sharing between Contractors on Construction Projects. Journal of Construction Engineering and Management, 144(06).

Nzabonimpa, J D and Hong, W (2018) Novel Precast Erection Method of Interlocking Mechanical Joints Using Couplers. Journal of Construction Engineering and Management, 144(06).

Rahimi, Y, Tavakkoli-Moghaddam, R, Iranmanesh, S H and Vaez-Alaei, M (2018) Hybrid Approach to Construction Project Risk Management with Simultaneous FMEA/ISO 31000/Evolutionary Algorithms: Empirical Optimization Study. Journal of Construction Engineering and Management, 144(06).

  • Type: Journal Article
  • Keywords: Risk management; Risk response strategy; Mixed-integer programming; Evolutionary algorithms;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001486
  • Abstract:
    Uncertainty and risks have been the inherent characteristics of large-scale projects. Although practitioners have applied different project risk management standards, numerous uncertainties, and risks in large-scale construction projects have led to significant failures in fulfilling a project’s goals. Therefore, in this study, a hybrid approach based on failure mode effects analysis (FMEA)/ISO 31000 has been proposed to identify, evaluate, and control the problem effectively. This hybrid approach is not a very accurate approach in providing an appropriate risk response; hence, a mixed-integer programming (MIP) model has been proposed to select the optimized risk response strategies for the project. In the present study, a model based on synergies among project risk responses was developed that is capable of considering the various criteria in the objective function and optimizing them based on the defined projects. Risk response selection for a large-scale project is a complex problem. Because of the nondeterministic polynomial time (NP)-hardness of the presented model, two metaheuristic algorithms, namely, the self-adaptive imperialist competitive algorithm and invasive weed optimization, were developed to solve the proposed MIP model. A large-scale high-rise residential building was evaluated as a case study to investigate the model proposed in this study empirically.

Raoufi, M and Fayek, A R (2018) Key Moderators of the Relationship between Construction Crew Motivation and Performance. Journal of Construction Engineering and Management, 144(06).

Shaofeng, L, Jincai, F, Pinghua, Z and Xiang, L (2018) Stability Analysis of Two Parallel Closely Spaced Tunnels Based on Convergence–Confinement Principle. Journal of Construction Engineering and Management, 144(06).

Sherratt, F, Welfare, K, Hallowell, M and Hoque Tania, M (2018) Legalized Recreational Marijuana: Safety, Ethical, and Legal Perceptions of the Workforce. Journal of Construction Engineering and Management, 144(06).

Vaux, J S and Kirk, W M (2018) Relationship Conflict in Construction Management: Performance and Productivity Problem. Journal of Construction Engineering and Management, 144(06).

Walters, J P, Kaminsky, J and Huepe, C (2018) Factors Influencing Household Solar Adoption in Santiago, Chile. Journal of Construction Engineering and Management, 144(06).

Yoon, S, Kang, K, Yoon, Y, Hastak, M and Ji, R (2018) Systematic Decision-Making Process for Composite Pavement Maintenance. Journal of Construction Engineering and Management, 144(06).

Yu, J and Leung, M (2018) Structural Stakeholder Model in Public Engagement for Construction Development Projects. Journal of Construction Engineering and Management, 144(06).

Zhao, T, Liu, W, Zhang, L and Zhou, W (2018) Retracted: Cluster Analysis of Risk Factors from Near-Miss and Accident Reports in Tunneling Excavation. Journal of Construction Engineering and Management, 144(06).