Materials and Technology Selection for Construction Projects Supported with the Use of Artificial Intelligence

Area of Science:

• Construction Management
• Engineering Economics
• Artificial Intelligence in Construction

Background:

• Project success is heavily influenced by material and technology choices.
• Early integration of these factors offers greater optimization potential.
• Current planning methods often delay material and technology integration, limiting project optimization.

Purpose of the Study:

• To propose a novel approach for optimizing construction projects.
• To integrate value engineering principles with advanced computational methods.
• To enhance the selection process of materials and technologies.

Main Methods:

• Development of a computational model based on value engineering.
• Application of artificial intelligence and metaheuristic algorithms.
• Validation through a case study involving an office building construction.

Main Results:

• Significant improvement in the economic results of construction projects.
• Demonstrated effectiveness of the proposed AI-driven method.
• Enhanced ability to select optimal materials and technologies.

Conclusions:

• The new value engineering approach significantly improves construction project parameters.
• AI and metaheuristic algorithms are effective tools for construction project optimization.
• Early and intelligent selection of materials and technologies is crucial for project success.