32 Enhancing Circular Economy through AI-Driven Generative Design and Advanced Manufacturing for Sustainable Product Development

Abstract

This paper presents a novel framework for accelerating the transition to a circular economy by integrating Artificial Intelligence (AI)-driven generative design with advanced manufacturing technologies for sustainable product development. Traditional linear economic models, characterized by a ‘take-make-dispose’ approach, are increasingly unsustainable. The proposed framework leverages AI algorithms to explore vast design spaces, optimizing for material efficiency, recyclability, and product longevity from the initial design phase. Concurrently, advanced manufacturing techniques, such as additive manufacturing, facilitate the production of complex geometries and customized components, minimizing waste and enabling on-demand production. This interdisciplinary approach, merging design, engineering, and technology, aims to overcome current limitations in sustainable product lifecycle management. We demonstrate the potential of this framework through a conceptual case study, highlighting its capacity to significantly reduce environmental impact and foster economic value creation within a closed-loop system. The integration of these technologies offers a scalable and adaptable solution for industries striving towards genuine circularity. This research contributes to the growing body of knowledge on sustainable innovation, providing a practical pathway for the implementation of circular economy principles in manufacturing.