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Ahmed, M O, El-Adaway, I H and Caldwell, A (2024) Comprehensive understanding of factors impacting competitive construction bidding. Journal of Construction Engineering and Management, 150(04).
Borhani, A, Borhani, A, Dossick, C S and Jupp, J (2024) An ontological analysis for comparison of the concepts of sustainable building and intelligent building. Journal of Construction Engineering and Management, 150(04).
Eissa, R, Nabi, M A and El-Adaway, I H (2024) Risk–reward share allocation under different integrated project delivery relational structures: A monte-carlo simulation and cooperative game theoretic solutions approach. Journal of Construction Engineering and Management, 150(04).
Gunduz, M, Sirin, O and Al Nawaiseh, H M (2024) Assessment of critical project success factors for management of pavement construction using the Delphi approach. Journal of Construction Engineering and Management, 150(04).
Guo, W, Lu, W, Kang, F and Zhang, L (2024) How to foster relational behavior in construction projects: Direct and mediating effects of contractual complexity and regulatory focus. Journal of Construction Engineering and Management, 150(04).
Husam, S, Laishram, B and Johari, S (2024) Framework to enhance gender inclusion of workers in construction sites. Journal of Construction Engineering and Management, 150(04).
Ishdorj, S, Ahn, C R and Park, M (2024) Major factors influencing safety knowledge-sharing behaviors of construction field workers: Worker-to-worker level safety communication. Journal of Construction Engineering and Management, 150(04).
Kaya, H D and Dikmen, I (2024) Using system dynamics to support strategic digitalization decisions. Journal of Construction Engineering and Management, 150(04).
Kim, Y and Ham, Y (2024) Revealing the impact of heat radiation on construction: A microclimate simulation using meteorological data and geometric modeling. Journal of Construction Engineering and Management, 150(04).
Lee, K and Hasanzadeh, S (2024) Understanding cognitive anticipatory process in dynamic hazard anticipation using multimodal psychophysiological responses. Journal of Construction Engineering and Management, 150(04).
Ma, S, Li, Z, Li, L, Zhang, S and Zheng, R (2024) Deciphering the key characteristics of on-site industrialized construction: Inspiration from China. Journal of Construction Engineering and Management, 150(04).
Pinheiro Santos Fernandes, P G, Elias Arantes, A and Ferreira Nobre Júnior, E (2024) Optimization model for earthwork allocations considering the construction of multiple haul roads: GIS-based integrated approach. Journal of Construction Engineering and Management, 150(04).
Rizaee, S and Lei, Z (2024) Duration estimation of a heavy industrial scaffolding project: A case study. Journal of Construction Engineering and Management, 150(04).
- Type: Journal Article
- Keywords:
- ISBN/ISSN: 0733-9364
- URL: http://doi.org/10.1061/JCEMD4.COENG-13915
- Abstract:
Accurate project duration estimation is crucial for effective scheduling, budgeting, resource allocation, and overall construction management. Leveraging historical data from completed projects is an effective strategy to achieve this. In heavy industrial projects, where scaffolding activities can span from thousands to millions of hours, refining the estimation of scaffolding time is vital during the planning phase. This study undertook the analysis of data from a completed heavy industrial scaffolding project, aiming to propose a methodology and models for predicting future projects durations. The proposed methodology not only aids in improved duration but also contributes to cost estimation, scheduling, and project delivery of similar future endeavors. Commencing with data cleaning and categorizing the data based on activity types, the scatter plots of person-hours versus task weight within each category revealed a linear relationship. Consequently, linear models for each category were developed. Statistical factors such as data size, coefficient of determination, and mean absolute error were then utilized to calculate a score for each model, guiding the model selection process which substituted low score models with a parent category with a higher score. The data analysis and modeling were performed five times to ensure robustness and consistency in the results. On average, the initial models yielded a project duration estimate of only 0.36% higher than the actual duration, while the selected models increased this deviation to 4.14%. The scoring and selection process enhances estimation accuracy while maintaining proximity to actual project durations. This research makes three significant contributions: (1) introducing a categorical linear regression approach for scaffolding activity duration prediction, (2) presenting a novel normalization and scoring method that scores models based on statistical factors, and (3) implementing a practical model selection process to substitute weaker models with stronger ones, ultimately strengthening the reliability of activity and project duration predictions.
Salhab, D, Lindhard, S M and Hamzeh, F (2024) Simulation-based approximation of the gain from applying overlapping activities. Journal of Construction Engineering and Management, 150(04).
Vora, C, Aryal, A, Willoughby, S and Wang, C (2024) Investigating stakeholder perception and developing a decision framework for robot adoption in construction. Journal of Construction Engineering and Management, 150(04).
Wong, M O, Zhang, Z and Pan, W (2024) Multiuser virtual reality-enabled collaborative heavy lift planning in construction. Journal of Construction Engineering and Management, 150(04).
Xu, F, Nguyen, T and Du, J (2024) Augmented reality for maintenance tasks with chatgpt for automated text-to-action. Journal of Construction Engineering and Management, 150(04).
Zhang, Y, Xiao, B and Li, X (2024) Integrating virtual reality and consensus models for streamlined built environment design collaboration. Journal of Construction Engineering and Management, 150(04).