Abstracts – Browse Results

Search or browse again.

Click on the titles below to expand the information about each abstract.
Viewing 20 results ...

Ayodele, O A, Chang-Richards, A and González, V (2020) Factors Affecting Workforce Turnover in the Construction Sector: A Systematic Review. Journal of Construction Engineering and Management, 146(02).

Balali, V, Zalavadia, A and Heydarian, A (2020) Real-Time Interaction and Cost Estimating within Immersive Virtual Environments. Journal of Construction Engineering and Management, 146(02).

Bayat, M, Khanzadi, M and Nasirzadeh, F (2020) Bargaining Game Model to Determine Concessionary Items in Build-Operate-Transfer Contracts. Journal of Construction Engineering and Management, 146(02).

Bhandari, S, Hallowell, M R, Boven, L V, Welker, K M, Golparvar-Fard, M and Gruber, J (2020) Using Augmented Virtuality to Examine How Emotions Influence Construction-Hazard Identification, Risk Assessment, and Safety Decisions. Journal of Construction Engineering and Management, 146(02).

Cheng, J C P, Chen, K and Chen, W (2020) State-of-the-Art Review on Mixed Reality Applications in the AECO Industry. Journal of Construction Engineering and Management, 146(02).

Enshassi, M S A, Walbridge, S, West, J S and Haas, C T (2020) Dynamic and Proactive Risk-Based Methodology for Managing Excessive Geometric Variability Issues in Modular Construction Projects Using Bayesian Theory. Journal of Construction Engineering and Management, 146(02).

  • Type: Journal Article
  • Keywords: Excessive geometric variability; Tolerances; Modular construction; Bayesian theory; Dynamic risk assessment; Proactive management; Decision support;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001747
  • Abstract:
    Managing excessive geometric variability risks (i.e., out-of-tolerance and out-of-alignment issues) represents a major challenge in modular construction projects, owing to lack of accurate data on modularization process capabilities for fabrication, transportation, and erection at the early design phase. Unrealistic and insufficient modularization process capability data typically convey a misleading risk profile and result in suboptimal mitigation solutions, which can in turn lead to cost overruns, schedule delays, quality issues, and owner dissatisfaction. Current modularization practices and previously developed risk management frameworks apply static risk assessment and management techniques, which do not enable updating of the generic information and initial assessment of the risk profile, when more realistic data become available. To address this persistent challenge in modular construction projects, this paper aims to introduce a systematic methodology that employs Bayesian inference theory for the dynamic assessment and proactive management of excessive geometric variability issues. The developed methodology includes a practical process for continual (1) updating of initial estimates of the performance of tolerance-based mitigation strategies based on real-time data, (2) reassessment of the risk profile, and (3) refinement of risk response decisions. The results of the case study described subsequently in this paper demonstrate how key project stakeholders and modular construction managers (e.g., designers, fabricators, and contractors) can use this methodology to efficiently reduce uncertainty in tolerance-related risk estimates and proactively manage impacts to improve modularization performance and maximize its benefits.

Gao, S, Song, X and Ding, R (2020) Promoting Information Transfer in Collaborative Projects through Network Structure Adjustment. Journal of Construction Engineering and Management, 146(02).

Hong, Y, Hammad, A, Zhong, X, Wang, B and Akbarnezhad, A (2020) Comparative Modeling Approach to Capture the Differences in BIM Adoption Decision-Making Process in Australia and China. Journal of Construction Engineering and Management, 146(02).

Hou, X, Zeng, Y and Xue, J (2020) Detecting Structural Components of Building Engineering Based on Deep-Learning Method. Journal of Construction Engineering and Management, 146(02).

John, S T, Roy, B K, Sarkar, P and Davis, R (2020) IoT Enabled Real-Time Monitoring System for Early-Age Compressive Strength of Concrete. Journal of Construction Engineering and Management, 146(02).

Ma, H, Zeng, S, Lin, H and Zeng, R (2020) Impact of Public Sector on Sustainability of Public–Private Partnership Projects. Journal of Construction Engineering and Management, 146(02).

Ma, X, Chan, A P C, Li, Y, Zhang, B and Xiong, F (2020) Critical Strategies for Enhancing BIM Implementation in AEC Projects: Perspectives from Chinese Practitioners. Journal of Construction Engineering and Management, 146(02).

Milberg, C T and Tommelein, I D (2020) Methods for Managing Tolerance Compatibility: Windows in Cast-in-Place Concrete. Journal of Construction Engineering and Management, 146(02).

Sharma, V, Caldas, C H and Mulva, S P (2020) Identification and Prioritization of Factors Affecting the Overall Project Cost of Healthcare Facilities. Journal of Construction Engineering and Management, 146(02).

Sherratt, F and Leicht, R (2020) Unpacking Ontological Perspectives in CEM Research: Everything Is Biased. Journal of Construction Engineering and Management, 146(02).

Swei, O (2020) Forecasting Infidelity: Why Current Methods for Predicting Costs Miss the Mark. Journal of Construction Engineering and Management, 146(02).

Syed, A and Sonparote, R S (2020) Development and Early-Age Performance of an Innovative Prestressed Precast Concrete Pavement. Journal of Construction Engineering and Management, 146(02).

Trinh, M T and Feng, Y (2020) Impact of Project Complexity on Construction Safety Performance: Moderating Role of Resilient Safety Culture. Journal of Construction Engineering and Management, 146(02).

Zhou, M, Liu, Y, Wang, K and Fahmi Hassanein, M (2020) New Asynchronous-Pouring Rapid-Construction Method for Long-Span Prestressed Concrete Box Girder Bridges with Corrugated Steel Webs. Journal of Construction Engineering and Management, 146(02).

Zuluaga, C M, Albert, A and Winkel, M A (2020) Improving Safety, Efficiency, and Productivity: Evaluation of Fall Protection Systems for Bridge Work Using Wearable Technology and Utility Analysis. Journal of Construction Engineering and Management, 146(02).