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Research Paper | Information Technology | India | Volume 11 Issue 1, January 2022 | Popularity: 5 / 10
Application of Artificial Intelligence for Process Optimization in Electric Vehicle (EV) and Electric Vertical Takeoff and Landing (eVTOL) Manufacturing
Keyurkumar Kantibhai Gohel
Abstract: EVs and eVTOLs have become fast-growing markets, while their boundaries are set by the ever-increasing demand for more sustainable transportation means. Manufacturing such classes of advanced vehicles faces significant challenges in using complex production processes, strict quality and safety requirements, and needing fast scale-up while keeping costs in check [1]. AI signifies a transformative potential for these challenges in their attempts at optimization of various stages of the manufacturing process. This paper, therefore, discusses the application of AI techniques, including predictive maintenance, automated quality control, intelligent process control, and smart supply chain management, for further streamlining production processes in electric vehicles and eVTOLs. I look at how AI-powered solutions reduce waste and improve product quality while enhancing overall efficiency. In this respect, I also reflect on actual AI applications across both industries, commenting on related pitfalls and opportunities arising. The concluding section will emphasize a few future trends and research areas related to the application of artificial intelligence in EV and eVTOL manufacturing: increasing automation, robotics, development of digital twin technologies, further revolutionary technologies likely to shape industries.
Keywords: Electrical vehicles, eVTOL, artificial intelligence, manufacturing, process optimization, predictive maintenance, automated quality control, intelligent process control, smart supply chain management, Industry 4.0
Edition: Volume 11 Issue 1, January 2022
Pages: 1720 - 1732
DOI: https://www.doi.org/10.21275/SR220110100905
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