Artificial Intelligence in Construction Management Enhancing Decision Making A cross a Project Life Cycle: throught A Machine Learning Method

Elafri Nedjwa; Abdallah Lalmi; Badreddine Boumali; Koudoua Ferhati

doi:10.31127/tuje.1968203

Artificial Intelligence in Construction Management Enhancing Decision Making A cross a Project Life Cycle: throught A Machine Learning Method

Abstract

The construction industry, which creates 13% of the world’s GDP, suffers from cost overruns of 28% and delays of over 42%, yet is still undigitized. AI has the promise of transforming management in the areas of cost, time and safety. This research provides a systematic review of AI applications and performs an original machine learning analysis on seven algorithms, i.e., Support Vector Machines, Logistic Regression, K-Nearest Neighbors, Random Forest, Stacking Ensemble, Artificial Neural Networks, and XGBoost on 139 Indian road projects with 44 risk factors. XGBoost performed the best with 82.50% accuracy and 84.21% F1-score. The most important concerns were the delay in decision-making (0.152), cash flow problems (0.082) and cost underestimate (0.071). Case studies demonstrate AI’s capabilities: 98.7% accurate cost estimation, 94.36% delay prediction via deep learning, and 97% safety monitoring with computer vision. These findings underscore the importance of ensemble ML in proactive, data-driven risk management, bringing projects into a predictive framework rather than reactive.

Keywords

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Details

Primary Language

English

Subjects

Waste Management, Reduction, Reuse and Recycling, Reinforced Concrete Buildings, Architectural Engineering

Journal Section

Research Article

Authors

Elafri Nedjwa ^*
0000-0001-9623-0107
Algeria

Abdallah Lalmi
0000-0002-9806-1391
Algeria

Badreddine Boumali
0000-0002-7565-3730
Algeria

Koudoua Ferhati
0000-0003-3733-7718
Algeria

Publication Date

October 16, 2026

Submission Date

June 10, 2026

Acceptance Date

August 1, 2026

Published in Issue

Year 2026 Volume: 10 Number: 4

DOI

https://doi.org/10.31127/tuje.1968203

IZ

https://izlik.org/JA57AM56AD

Cite

RIS / Bibtex

APA

Nedjwa, E., Lalmi, A., Boumali, B., & Ferhati, K. (2026). Artificial Intelligence in Construction Management Enhancing Decision Making A cross a Project Life Cycle: throught A Machine Learning Method. Turkish Journal of Engineering, 10(4), 1658-1666. https://doi.org/10.31127/tuje.1968203

AMA

1.Nedjwa E, Lalmi A, Boumali B, Ferhati K. Artificial Intelligence in Construction Management Enhancing Decision Making A cross a Project Life Cycle: throught A Machine Learning Method. TUJE. 2026;10(4):1658-1666. doi:10.31127/tuje.1968203

Chicago

Nedjwa, Elafri, Abdallah Lalmi, Badreddine Boumali, and Koudoua Ferhati. 2026. “Artificial Intelligence in Construction Management Enhancing Decision Making A Cross a Project Life Cycle: Throught A Machine Learning Method”. Turkish Journal of Engineering 10 (4): 1658-66. https://doi.org/10.31127/tuje.1968203.

EndNote

Nedjwa E, Lalmi A, Boumali B, Ferhati K (October 1, 2026) Artificial Intelligence in Construction Management Enhancing Decision Making A cross a Project Life Cycle: throught A Machine Learning Method. Turkish Journal of Engineering 10 4 1658–1666.

IEEE

[1]E. Nedjwa, A. Lalmi, B. Boumali, and K. Ferhati, “Artificial Intelligence in Construction Management Enhancing Decision Making A cross a Project Life Cycle: throught A Machine Learning Method”, TUJE, vol. 10, no. 4, pp. 1658–1666, Oct. 2026, doi: 10.31127/tuje.1968203.

ISNAD

Nedjwa, Elafri - Lalmi, Abdallah - Boumali, Badreddine - Ferhati, Koudoua. “Artificial Intelligence in Construction Management Enhancing Decision Making A Cross a Project Life Cycle: Throught A Machine Learning Method”. Turkish Journal of Engineering 10/4 (October 1, 2026): 1658-1666. https://doi.org/10.31127/tuje.1968203.

JAMA

1.Nedjwa E, Lalmi A, Boumali B, Ferhati K. Artificial Intelligence in Construction Management Enhancing Decision Making A cross a Project Life Cycle: throught A Machine Learning Method. TUJE. 2026;10:1658–1666.

MLA

Nedjwa, Elafri, et al. “Artificial Intelligence in Construction Management Enhancing Decision Making A Cross a Project Life Cycle: Throught A Machine Learning Method”. Turkish Journal of Engineering, vol. 10, no. 4, Oct. 2026, pp. 1658-66, doi:10.31127/tuje.1968203.

Vancouver

1.Elafri Nedjwa, Abdallah Lalmi, Badreddine Boumali, Koudoua Ferhati. Artificial Intelligence in Construction Management Enhancing Decision Making A cross a Project Life Cycle: throught A Machine Learning Method. TUJE. 2026 Oct. 1;10(4):1658-66. doi:10.31127/tuje.1968203