Work

Integrating Artificial Intelligence in Construction Management: Improving Project Efficiency and Cost-effectiveness

Year: 2024

Type: article

Abstract: The construction industry faces challenges such as project complexity, delays, and communication issues. Leveraging AI, particularly through data analysis, predictive analytics, and machine learning, addresses these challenges by optimizing project planning, scheduling, and risk management. This paper outlines strategies for AI integration, including data collection, machine learning algorithms, and cloud computing. Case studies highlight successful implementations, showcasing benefits such as increased efficiency, cost savings, and improved safety. However, challenges like data security and workforce acceptance must be considered. The abstract concludes by discussing future trends and encouraging the construction industry to embrace AI for enhanced project outcomes.

Source: International Journal of Advanced Multidisciplinary Research and Studies

DOI: 10.62225/2583049x.2024.4.2.2550

Authors: Nwankwo Constance Obiuto, Riliwan Adekola Adebayo, Oladiran Kayode Olajiga, Igberaese Clinton Festus-Ikhuoria

Institution: Nnamdi Azikiwe University

Language: English

Topic: BIM and Construction Integration

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: bronze

OpenAlex ID: W4393340902