02142nam a22001457a 4500999001900000008004100019100002600060245012700086260001700213300003700230520159300267773001701860942000701877952011201884  c529817d529817250508b           ||||| |||| 00| 0 eng d  aBhaskaran, E. 952914  aImplementation of artificial intelligence and robotics in green production for an automotive components cluster in Chennai  aProductivity  a 65(4), Jan-Mar, 2025: p.375-391  aThis 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
  aProductivity  cAR  00102ddc40709405004aIIPAbIIPAd2025-05-08h 65(4), Jan-Mar, 2025: p.375-391pAR135666r2025-05-08yAR