JOURNAL ARTICLE

Role of Artificial Intelligence in Construction Project Management

Abstract

The construction sector occupies one of the major roles within the global economy, and 13% of world GDP currently comes from this industry. It is also expected to expand by 85%, to a value of $15.5 billion by 2030, with demand in China, the United States, and India acting as the major drives. The growth notwithstanding, the sector has been confronting serious problems with regard to arranging and disseminating large quantities of information among subcontractors, contractors, designers, clients, and other stakeholders with efficiency. Information Technology has emerged as a key enabler, thereby integrating scattered data across geographically dispersed projects, transforming the construction value chain. Artificial Intelligence accelerates this change, and the increasing investment demonstrates the possibility of boosting workforce productivity by 40 percent and doubling economic growth rates annually by 2035. This paper discusses the application of Artificial Intelligence (AI) in Construction Project Management (CPM) and reviews methodologies and applications that have been advanced for the improvement of efficiency and decision-making in the industry. The construction industry is bound to mark a tremendous change by the implementation of Artificial Intelligence (AI), redefining conventional processes and opening up innovation and productivity to new heights.

Keywords:
Project management Engineering management Computer science Engineering Construction engineering Knowledge management Systems engineering

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
20
Refs
0.35
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Occupational Health and Safety Research
Health Sciences →  Health Professions →  Radiological and Ultrasound Technology
BIM and Construction Integration
Physical Sciences →  Engineering →  Building and Construction
Construction Project Management and Performance
Social Sciences →  Decision Sciences →  Management Science and Operations Research

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