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Ballesteros-Pérez, P, Phua, F T T and Mora-Melià, D (2019) Human Resource Allocation to Multiple Projects Based on Members’ Expertise, Group Heterogeneity, and Social Cohesion. Journal of Construction Engineering and Management, 145(02).
Beltrão, L M P and Carvalho, M T M (2019) Prioritizing Construction Risks Using Fuzzy AHP in Brazilian Public Enterprises. Journal of Construction Engineering and Management, 145(02).
Carmichael, D G, Nguyen, T A and Shen, X (2019) Single Treatment of PPP Road Project Options. Journal of Construction Engineering and Management, 145(02).
Elmasry, M, Zayed, T and Hawari, A (2019) Multi-Objective Optimization Model for Inspection Scheduling of Sewer Pipelines. Journal of Construction Engineering and Management, 145(02).
Gurmu, A T (2019) Tools for Measuring Construction Materials Management Practices and Predicting Labor Productivity in Multistory Building Projects. Journal of Construction Engineering and Management, 145(02).
Hwang, B, Zhao, X and Yang, K W (2019) Effect of BIM on Rework in Construction Projects in Singapore: Status Quo, Magnitude, Impact, and Strategies. Journal of Construction Engineering and Management, 145(02).
Islam, M S, Nepal, M P and Skitmore, M (2019) Modified Fuzzy Group Decision-Making Approach to Cost Overrun Risk Assessment of Power Plant Projects. Journal of Construction Engineering and Management, 145(02).
Jafari, A, Valentin, V and Bogus, S M (2019) Identification of Social Sustainability Criteria in Building Energy Retrofit Projects. Journal of Construction Engineering and Management, 145(02).
Koskela, L, Ferrantelli, A, Niiranen, J, Pikas, E and Dave, B (2019) Epistemological explanation of lean construction. Journal of Construction Engineering and Management, 145(02), 04018131 .
Liang, R, Zhang, J, Wu, C, Sheng, Z and Wang, X (2019) Joint-Venture Contractor Selection Using Competitive and Collaborative Criteria with Uncertainty. Journal of Construction Engineering and Management, 145(02).
Noktehdan, M, Shahbazpour, M, Zare, M R and Wilkinson, S (2019) Innovation Management and Construction Phases in Infrastructure Projects. Journal of Construction Engineering and Management, 145(02).
Poleacovschi, C, Javernick-Will, A, Tong, T and Wanberg, J (2019) Engineers Seeking Knowledge: Effect of Control Systems on Accessibility of Tacit and Codified Knowledge. Journal of Construction Engineering and Management, 145(02).
Sakhakarmi, S, Park, J and Cho, C (2019) Enhanced Machine Learning Classification Accuracy for Scaffolding Safety Using Increased Features. Journal of Construction Engineering and Management, 145(02).
Tokdemir, O B, Erol, H and Dikmen, I (2019) Delay Risk Assessment of Repetitive Construction Projects Using Line-of-Balance Scheduling and Monte Carlo Simulation. Journal of Construction Engineering and Management, 145(02).
- Type: Journal Article
- Keywords: Delay risk assessment; Line-of-balance (LOB) scheduling; Monte Carlo simulation; Repetitive projects; Construction management;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001595
- Abstract:
Although the line-of-balance (LOB) method is widely used for the scheduling of repetitive construction projects, there are only a limited number of studies that deal with the issue of how to incorporate uncertainty in repetitive schedules. In this paper, a delay risk assessment method is proposed for projects scheduled by LOB. In the proposed method, a LOB schedule is prepared considering the target rate of delivery, and then risk scenarios are defined considering the sources of uncertainty and vulnerability of activities. Next, probability distributions are determined for the required number of labor-hours for each activity and for learning rates, and finally, the delay risk of the project is quantified using Monte Carlo simulation. The application of the method, its outputs, and its potential benefits are demonstrated by a hypothetical case study. Moreover, the proposed method is applied to a real high-rise building project and the potential benefits of using a probabilistic LOB schedule at the planning stage are investigated. The findings reveal that the outputs of the proposed method may enable decision makers to estimate delay risk under various scenarios, formulate effective risk response strategies, and prepare contingency plans for resource utilization in repetitive tasks. However, the simplifying assumptions made during the development of the proposed model regarding the relationships between activity durations, risk scenarios, and learning rates may limit its applicability for all project conditions. Yet the method is generic, and its assumptions can be revised in consideration of specific project characteristics and objectives.
Trinh, M T, Feng, Y and Mohamed, S (2019) Framework for Measuring Resilient Safety Culture in Vietnam’s Construction Environment. Journal of Construction Engineering and Management, 145(02).
Valente, C P, Brandalise, F M P and Formoso, C T (2019) Model for Devising Visual Management Systems on Construction Sites. Journal of Construction Engineering and Management, 145(02).
Xu, J, Shi, Y and Zhao, S (2019) Reverse Logistics Network-Based Multiperiod Optimization for Construction and Demolition Waste Disposal. Journal of Construction Engineering and Management, 145(02).
Yao, H, Chen, Y, Chen, Y and Zhu, X (2019) Mediating Role of Risk Perception of Trust and Contract Enforcement in the Construction Industry. Journal of Construction Engineering and Management, 145(02).
Yoo, W, Ozer, H and Ham, Y (2019) System-Level Approach for Identifying Main Uncertainty Sources in Pavement Construction Life-Cycle Assessment for Quantifying Environmental Impacts. Journal of Construction Engineering and Management, 145(02).