Artificial intelligence-driven internet of things-based green supply chain for carbon reduction in sustainable manufacturing.

Recent advancements in sustainable business practices and information technology trends have led to the rise of green smart supply chains. These green sustainable supply chains are a novel approach that involves information technology to enhance the operational standards throughout various industries. The integration of artificial intelligence and the Internet of Things has transformed these sectors by utilizing intelligent supply chain practices, improving efficiency and significantly reducing environmental impacts. Based on this observation, the present study proposed a framework that integrates artificial intelligence-assisted internet of things-driven green supply chains in the manufacturing sector, a major contributor of carbon emissions. To succeed in the competitive industry 4.0, manufacturers must focus on developing sustainable products and processes. The framework proposed in this study aims to achieve net-zero carbon emissions by leveraging artificial intelligence in carbon emission reduction. By utilizing the advanced intelligence technology of improved support vector regression, the study demonstrates a significant decrease in carbon emissions. Also, green management, green products, and green technological innovations are crucial factors in the framework that help to increase the effectiveness of these solutions in achieving sustainability goals. Further, this research highlights the importance of intelligent manufacturing for a sustainable future and significantly contributes to future projects that primarily rely on these domains.