AI-DRIVEN SUSTAINABILITY REVOLUTIONIZING MANUFACTURING SUPPLY CHAINS FOR A GREENER FUTURE
Abstract
Advances in real-time data analysis, predictive maintenance, and resource optimization have been made possible by AI technologies, particularly big data analytics. Nonetheless, issues including poor data quality, inadequate infrastructure, and shortages of skilled agricultural workers continue to exist. Future developments in AI for agriculture will bring with them both benefits and difficulties, such as the need for fair access to AI technology and ethical problems. This study looks at how AI and big data analytics might enhance the sustainability of the manufacturing supply chain. Because of environmental concerns and the growing demand for healthcare, manufacturing supply chains are realizing the need of eco-friendly operations. It goes on to describe how AI and big data analytics may change these ramifications. Big data analytics is given top priority in this research for demand forecasting, inventory management, and procurement. In conclusion, big data analytics and AI are a huge help to sustainability, which is revolutionizing industrial supply chains for a greener future.
Keyword : AI-Driven, Sustainability, Revolutionizing, Supply Chains, Greener Future, Artificial Intelligence, Big Data.
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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