Al and Autonomous Systems: An Experiment in Industry 5.0 Transformation

¹ Department of Management and Innovation, National Research Moscow State University of Civil Engineering (NRU MGSU), 26 Yaroslavskoye Highway, Moscow, Russia,
² Uttaranchal University, Dehradun 248007, India
³ Lovely Professional University Phagwara, Punjab, India
⁴ K R Mangalam University, Gurgaon, India
⁵ GD Goenka University, Sohna, Haryana, India
⁶ GRIET, Bachupally, Hyderabad, Telangana, India

^* Corresponding Email: VerstinaN@gic.mgsu.ru

Abstract

Important practical consequences are shown in this experimental study of AI and autonomous systems integration in the context of Industry 5.0. AI optimization of the product manufacturing process resulted in a 35% decrease in the real faulty rate and a significant 20% rise in production rates, reaching an actual rate of 1440 units per hour. The actual defective rate was just 1.3%. Since autonomous robots were introduced, work completion rates have increased by 18%, totaling 2,520 tasks completed, and maintenance expenses have decreased by 9%, amounting to a $450 real cost savings. Furthermore, with an actual faulty rate of 2.6%, the AI-driven quality control method showed an astounding 35% decrease in defective goods. Ultimately, significant 15% energy consumption decrease was accomplished using AI-based energy optimization solutions, translating into real energy savings of 1,500 kWh. These results highlight the real advantages of combining AI and Autonomous Systems in Industry 5.0, such as increased productivity, lower costs, better product quality, and sustainability.