Mr. Shakir Syed
Transforming Automotive Engine Manufacturing: Leveraging Generative AI for Precision, Efficiency, and Innovation
Abstract
The rapid advancements in Artificial Intelligence, specifically Generative AI, have unlocked new potential in the manufacturing sector, enabling unprecedented levels of precision and efficiency. This presentation explores the application of Generative AI in the design, production, and quality control of automotive engines, focusing on its transformative impact on traditional manufacturing processes. Generative AI algorithms can optimize complex design parameters, simulate real-world performance under varying conditions, and generate innovative solutions that may elude conventional design methods. These algorithms also facilitate predictive maintenance and process automation, resulting in reduced downtime, minimized waste, and enhanced product quality. By analyzing case studies and industry data, this presentation highlights how Generative AI supports sustainable practices, boosts productivity, and addresses evolving consumer demands in the automotive sector. The discussion will include an overview of current challenges, potential solutions offered by AI technologies, and a roadmap for implementing Generative AI across the automotive engine manufacturing lifecycle. This research aims to demonstrate that by adopting Generative AI, manufacturers can achieve agile, data-driven production environments essential for the next generation of automotive innovation.