Leveraging Generative AI and Cloud-Based Automotive Engineering Management for Enhanced Vehicle Design and Manufacturing Optimization

Authors

  • Phani Raj Kumar Bollipalli

Keywords:

Generative AI, Cloud, Automotive Engineering, Vehicle Design, Manufacturing Optimization.

Abstract

This paper investigates the application of cloud combined with Generative AI in automobile construction engineering design and manufacturing optimization. Leveraging the cloud’s muscle and scale and the creative memory and capability of generative AI, this direction should help radically decrease design time, optimize material use and accelerate the manufacturing process, the company wrote. Utilizing state-of-the-art AI algorithms, we show how optimization of vehicle components combined with structural and aerodynamic optimization can provide significant benefits in performance and cost. The findings indicate that generative AI not only speeds up the design phase by providing novel, data-driven designs, but also allows ongoing learning and adaptation for the manufacturing cycle. In addition, the cloud models allow designers from different locations to collaborate more effectively, and the restricted access to data in the cloud leads to a more efficient and responsive workflow. The research shows that synergy in implementing said technologies results in lower production costs, enhanced safety of vehicles and a higher pace of introducing innovations onto the market, thus indicating a bright future for automotive engineering in the era of the digital metamorphosis.

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Published

30.12.2024

How to Cite

Phani Raj Kumar Bollipalli. (2024). Leveraging Generative AI and Cloud-Based Automotive Engineering Management for Enhanced Vehicle Design and Manufacturing Optimization. International Journal of Intelligent Systems and Applications in Engineering, 12(23s), 3697 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/7841

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Section

Research Article