ADAPTIVE SCHEDULING: APPLYING AI AND MACHINE LEARNING TO OPTIMIZE PROJECT TIMELINES AND RESOURCE

This paper seeks to discuss how project management is an ever-evolving activity due to the changing nature of the business environment, and proper techniques must be employed to enhance timelines and resources management. This study investigates the utilisation of Artificial Intelligence (AI) and Machine Learning (ML) in dynamic scheduling for project management. Another way is through the use of forecasting models, improvement of tuning algorithms, as well as real-time data analysis whereby through the time intervals, people are able to come up with new times and effective utilisation of resources. This paper explores and discusses numerous AI and ML approaches and studies the capability of these approaches for minimizing the number of delays and increasing the effectiveness of the management of the available resources to optimize overall project performance. In this paper, the applicability of these technologies for modifying the conventional scheduling systems is illustrated utilizing case studies and computerized simulations.

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Publication Details

Journal
International Journal of Engineering Technologies and Management Research
Published
2025-05-31
DOI
https://doi.org/10.29121/ijetmr.v12.i5.2025.1631
Citations
1
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
1.01
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article

ADAPTIVE SCHEDULING: APPLYING AI AND MACHINE LEARNING TO OPTIMIZE PROJECT TIMELINES AND RESOURCE

Neeraj Chauhan
1 citations
International Journal of Engineering Technologies and Management Research
BIM and Construction Integration
1.01
article

ADAPTIVE SCHEDULING: APPLYING AI AND MACHINE LEARNING TO OPTIMIZE PROJECT TIMELINES AND RESOURCE

Neeraj Chauhan
article en
1 citations

Abstract

This paper seeks to discuss how project management is an ever-evolving activity due to the changing nature of the business environment, and proper techniques must be employed to enhance timelines and resources management. This study investigates the utilisation of Artificial Intelligence (AI) and Machine Learning (ML) in dynamic scheduling for project management. Another way is through the use of forecasting models, improvement of tuning algorithms, as well as real-time data analysis whereby through the time intervals, people are able to come up with new times and effective utilisation of resources. This paper explores and discusses numerous AI and ML approaches and studies the capability of these approaches for minimizing the number of delays and increasing the effectiveness of the management of the available resources to optimize overall project performance. In this paper, the applicability of these technologies for modifying the conventional scheduling systems is illustrated utilizing case studies and computerized simulations.

International Journal of Engineering Technologies and Management ResearchVol. 12(5)
Maharshi Dayanand University (IN)
Openalex Percentile: Top 24%
BIM and Construction Integration
1.01
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