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Baker, M; Ali, M; Hassett, E; Jahan Tumpa, R (2025) Tapping the untapped resource to address construction skills shortages: Perceptions of Australian women career changers and construction women. Journal of Construction Engineering and Management, 151(4).
Chang, W C; Esmaeili, B; Hasanzadeh, S (2025) Impacts of physical and informational failures on worker-autonomy trust in future construction. Journal of Construction Engineering and Management, 151(4).
Charbel, G; Assaad, R H; Tejada, T R; Karaa, F (2025) Modeling the interdependencies between the risk factors contributing to preconstruction delays in construction projects. Journal of Construction Engineering and Management, 151(4).
Chen, S; Zeng, N; Li, F; Yue, H; Wang, Q; Li, Q (2025) Proactive safety risk control system for deep foundation pit construction: Situational tailoring of integrated cybernetics and dual-system theory. Journal of Construction Engineering and Management, 151(4).
Dou, Y; Zhong, L; Luo, L (2025) Supply chain resilience of prefabricated construction: Perspectives of stakeholder capabilities and vulnerabilities. Journal of Construction Engineering and Management, 151(4).
He, C; Liu, M; Hsiang, S M; Pierce, N; Megahed, S; Godfrey, A (2025) An ontological knowledge-driven smart contract framework for implicit bridge preservation decision making. Journal of Construction Engineering and Management, 151(4).
Jiang, Z; Han, Y; Cheng, Y; Wang, Z; Meng, H (2025) An improved yolov8-dyhead-wiseiou model for positioning and counting detection of grouting sleeves in a prefabricated wall. Journal of Construction Engineering and Management, 151(4).
Lin, S; Cheung, S O (2025) What organizational justice brings to project dispute negotiation. Journal of Construction Engineering and Management, 151(4).
Liu, Z; Li, X; Gao, Z; Zhang, Y; Teng, Y; Wu, C (2025) A hybrid and intuitive work packaging approach with multiple task relations, general work package precedence, and BIM in modular construction. Journal of Construction Engineering and Management, 151(4).
Mai, T P A; Doan, D T; Ghaffarianhoseini, A (2025) Utilizing multiskilled resources in addressing labor shortage issues in off-site construction: Benefits, challenges, and best practices. Journal of Construction Engineering and Management, 151(4).
Onubi, H O; Carpio, M (2025) Voluntary workplace proenvironmental behavior on construction project sites: Antecedent roles of green human resource management practices, environmental awareness, and job control. Journal of Construction Engineering and Management, 151(4).
Sharma, N; Laishram, B (2025) Decoding the emergent patterns of cost of quality through the lens of sociotechnical systems: A bibliometric analysis. Journal of Construction Engineering and Management, 151(4).
Shrestha, R; Ko, T; Lee, J (2025) Quantifying project uncertainties: Leveraging historical bid and change order data for automated detection of cost and schedule impacts in new projects. Journal of Construction Engineering and Management, 151(4).
- Type: Journal Article
- Keywords: change order; construction bid documents; cost; lage language model; natural language processing; project uncertainties; schedule
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/JCEMD4.COENG-15689
- Abstract:
Unexpected uncertainties often arise during construction project execution, impacting performance measures such as time, budget, scope, and quality. This study addresses these cost and schedule challenges by creating an automated risk management model that utilizes natural language processing (NLP) techniques. NLP techniques are powerful tools that can process and analyze natural language data, allowing us to uncover valuable insights from textual data. This method enables the extraction of meaningful information from bid, contract, and change order documentation. The bidirectional encoder representations from transformers (BERT) model, a widely recognized transformer-based model, transforms words and phrases into numerical representations. After that, cosine similarity is used to assess the similarity between new and old projects. All these techniques allow us to predict potential costs and schedule changes for upcoming projects based on data from past similar projects. The research question of this study is: How can historical bidding and change order documents be utilized to forecast uncertainties in project cost and schedule for new projects? To address this question, the authors proposed an approach using NLP, BERT, and cosine similarity to extract the relevant data from past similar projects to forecast the cost and schedule changes for upcoming new projects, thus providing proactive insights for project management. Using a case study of 113 projects, out of which 20% were set aside for testing, the model achieved an accuracy of 78.30% in forecasting cost changes and 75.0% in forecasting schedule changes, with an overall accuracy of more than 75% in predicting changes. This finding demonstrates the model's efficacy in anticipating project uncertainties, thus significantly contributing to improved project management. This data-driven approach to managing uncertainties ultimately enhances overall project success and performance by allowing construction professionals to anticipate and address potential risks and variations proactively.
Sun, R; Yan, Q; Zhang, C; Qiao, M; Ren, J (2025) Comprehensive evaluation of grouting effectiveness combining qualitative on-site tests and improved fuzzy integration with entropy weight method: Case study of a mountain tunnel. Journal of Construction Engineering and Management, 151(4).
Tao, Y; Hu, H; Xu, F; Zhang, Z (2025) Ergonomic risk mitigation through workforce planning for construction projects. Journal of Construction Engineering and Management, 151(4).
Wang, H; Chen, X; Wang, J; Guan, W; Wei, S (2025) Multiobjective trade-off optimization of time, cost, quality, and carbon emission in the building construction stage. Journal of Construction Engineering and Management, 151(4).
Yan, H; Liu, C; Yang, X; Feng, K (2025) Real-time digital twin-driven 3D near-miss detection system at construction sites. Journal of Construction Engineering and Management, 151(4).
Yu, M; Ruan, W; Zhou, Y; Zhao, Y (2025) Flow shop scheduling for prefabricated components production considering parallel machines and buffer constraints. Journal of Construction Engineering and Management, 151(4).