Volume 14 / Number 3 / September 2024

Nguyen, T. T. H. (2024). Toward Industry 4.0 - The Application of Digital Technologies in Construction. Journal of Engineering, Project, and Production Management, 14(3), 0021.
DOI: 10.32738/JEPPM-2024-0021

Wang, R. J., Yu, W. D., Liao, H. C., Chang, H. K., and Lim, Z. Y. (2024). Cost/Benefit Analysis of AIoT Image Sensing for Construction Safety Monitoring. Journal of Engineering, Project, and Production Management, 14(3), 0022.
DOI: 10.32738/JEPPM-2024-0022

Moshood, T. D., Rotimi, J. O. B., and Shahzad, W. (2024). Pipeline Projects: Matters Arising in the New Zealand Construction Industry. Journal of Engineering, Project, and Production Management, 14(3), 0023.
DOI: 10.32738/JEPPM-2024-0023

Alhorani, R., Bazlamit, B., Elhaija, W. A., and Rabayah, H. (2024). Integrating Industry 4.0 Concepts in Civil Engineering Education. Journal of Engineering, Project, and Production Management, 14(3), 0024.
DOI: 10.32738/JEPPM-2024-0024

Chayutthanabun, A., Suanmali, S., and Chinda, T. (2024). The Adoption of Smart Warehouse Technology in Thailand. Journal of Engineering, Project, and Production Management, 14(3), 0025.
DOI: 10.32738/JEPPM-2024-0025

Panas, A., Kalaitzakis, N., and Pantouvakis, J. P. (2024). Automated Tool for the Comparative Estimation of Earthmoving Productivity. Journal of Engineering, Project, and Production Management, 14(3), 0026.
DOI: 10.32738/JEPPM-2024-0026

Tsaimou, C. N., Kagkelis, D. G. N., Karantzalos, K., Sartampakos, P., and Tsoukala, V. K. (2024). Remote Sensing Synergies for Port Infrastructure Monitoring and Condition Assessment. Journal of Engineering, Project, and Production Management, 14(3), 0027.
DOI: 10.32738/JEPPM-2024-0027

Jiang, S. (2024). Low-Carbon Economy in Urban Solid Waste Logistics Management. Journal of Engineering, Project, and Production Management, 14(3), 0028.
DOI: 10.32738/JEPPM-2024-0028

Ren, Y. (2024). Optimizing Ship Pilotage with Intelligent Information Services: Integrating GIS-Based Big Data Positioning and Neural Network Approaches. Journal of Engineering, Project, and Production Management, 14(3), 0029.
DOI: 10.32738/JEPPM-2024-0029

Zhao, S. (2024). Enhancing Concrete Damage Detection through Ultrasonic Rebound Measurements and Deep Learning Techniques. Journal of Engineering, Project, and Production Management, 14(3), 0030.
DOI: 10.32738/JEPPM-2024-0030