Use of Artificial Intelligence in Construction Planning: Delay Prediction and Resource Optimization with Machine Learning

• Author(s): Danilo Ramos Stein
• Paper ID: 1710021
• Page: 592-596
• Published Date: 31-01-2022
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 5 Issue 7 January-2022

Abstract

This article explores the application of Artificial Intelligence (AI), particularly machine learning (ML), in construction planning with a focus on delay prediction and resource optimization. By leveraging historical project data, real-time sensor inputs, and multimodal information, ML models can forecast potential schedule deviations and optimize the allocation of labor, equipment, and materials. AI-driven decision support systems and automated alert mechanisms enhance managerial responsiveness and improve overall project efficiency. Additionally, the integration of AI supports sustainability objectives through predictive maintenance and resource waste reduction. Despite challenges related to data quality and model interpretability, the adoption of AI technologies in construction management demonstrates significant potential to improve productivity, reduce costs, and increase project success rates.

Keywords

Machine Learning, Predictive Planning, AI In Construction, Resource Optimization, Construction Delays, Decision Support Systems, Construction Productivity

Citations

IRE Journals:
Danilo Ramos Stein "Use of Artificial Intelligence in Construction Planning: Delay Prediction and Resource Optimization with Machine Learning" Iconic Research And Engineering Journals Volume 5 Issue 7 2022 Page 592-596

IEEE:
Danilo Ramos Stein "Use of Artificial Intelligence in Construction Planning: Delay Prediction and Resource Optimization with Machine Learning" Iconic Research And Engineering Journals, 5(7)