AI-Driven Decision Support Systems for Project Management in Automobile Engineering

The integration of artificial intelligence in project management with revolutionize engineering processes like automobile. The present study explores the impact of artificial intelligence in decision support system to optimise the project workflow with improved decision making and prediction of potential bottlenecks in automotive engineering. The technology driven decision support system includes natural language processing predictive analytics and machine learning examined for product innovation time management and cost production. The study discusses about the challenges in adaptability of artificial intelligence data security and system integration in the complex environment. The real-world applications are analysed for highlighting the ai driven decision support system to enhance competitiveness and agility in automobile engineering for project management. The study emphasises the potentiality of artificial intelligence in redefining the conventional engineering practises for data driven and smarter decision making in automotive sector.

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Publication Details

Published
2025-02-21
DOI
https://doi.org/10.1109/ce2ct64011.2025.10939814
Citations
2
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
4.57
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AI-Driven Decision Support Systems for Project Management in Automobile Engineering

Vikrant Huddar, Amrita Baid More, M. Vasudevan, Mukhammad Ali Turdialiev et al.
2 citations
Big Data and Business Intelligence
4.57
article

AI-Driven Decision Support Systems for Project Management in Automobile Engineering

Vikrant Huddar, Amrita Baid More, M. Vasudevan, Mukhammad Ali Turdialiev, B. Senthil Kumar, Durga Praveen Deevi
article en
2 citations

Abstract

The integration of artificial intelligence in project management with revolutionize engineering processes like automobile. The present study explores the impact of artificial intelligence in decision support system to optimise the project workflow with improved decision making and prediction of potential bottlenecks in automotive engineering. The technology driven decision support system includes natural language processing predictive analytics and machine learning examined for product innovation time management and cost production. The study discusses about the challenges in adaptability of artificial intelligence data security and system integration in the complex environment. The real-world applications are analysed for highlighting the ai driven decision support system to enhance competitiveness and agility in automobile engineering for project management. The study emphasises the potentiality of artificial intelligence in redefining the conventional engineering practises for data driven and smarter decision making in automotive sector.

University of Mumbai (IN), Tashkent State University of Law (UZ), Medi-Caps University (IN), Hindustan Institute of Technology and Science (IN)
Openalex Percentile: Top 6%
Big Data and Business Intelligence
4.57
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