02022nam a22001337a 4500 529817 529817 250508b ||||| |||| 00| 0 eng d Bhaskaran, E. 52914 Implementation of artificial intelligence and robotics in green production for an automotive components cluster in Chennai Productivity 65(4), Jan-Mar, 2025: p.375-391 This study explores the application of Artificial Intelligence (AI) and Robotics in promoting green production within an automotive component manufacturing cluster in Chennai. The objective of the study is to utilize these technologies to enhance both production efficiency and environmental sustainability. By integrating AI and Robotics, the cluster aims to optimize production processes, reduce energy consumption, minimize waste, and lower carbon emissions, while improving overall operational performance and reducing costs. The research methodology examines the impact of automation, predictive maintenance, energy-efficient production techniques, and waste reduction driven by AI systems using input, process, and output variables. Additionally, it highlights the importance of workforce training and the adoption of sustainable technologies to align with eco-friendly production goals. Findings indicate that the implementation of AI and Robotics can significantly improve resource efficiency, cut costs, and boost environmental performance, contributing to the shift toward greener manufacturing practices. To conclude, the study provides valuable insights into how automotive component manufacturers in Chennai can adopt these technologies to foster innovation, enhance competitiveness, and meet sustainability requirements, ensuring long-term success in a rapidly evolving industry.- Reproduced https://www.printspublications.com/journal/productivity--a-quarterly-journal-of-the-national-productivity-council?srsltid=AfmBOooy3llFQepvT0Uqrhs8DgBViGofbY2coXQxh76DH0zstGBVwlTW Productivity AR 0 0 ddc 0 0 405004 IIPA IIPA 2025-05-08 65(4), Jan-Mar, 2025: p.375-391 AR135666 2025-05-08 AR