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Al and Autonomous Systems: An Experiment in Industry 5.0 Transformation

Verstina Natalia, Yashwant Singh Bisht, Pranav Kumar Prabhakar, Rishabh Arora, Sudipta K. Mishra, N. Rajasekhar

Year
2024
Citations
6
Access
Open access

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.

Keywords

Context (archaeology)ProductivityQuality (philosophy)Production (economics)RobotProduct (mathematics)Energy consumptionComputer scienceProcess (computing)Industrial engineering

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