Digital Twin and Generative AI for Product Development

Optimisation of the product design and development cycle is crucial for maintaining product quality and ensuring lower production costs. It is necessary to intervene at early stages to prevent future expenses. Leveraging rapid digitalisation to achieve the desired goals and bringing in 'smart manufacturing' will benefit industries with large-scale productions. This paper proposes a novel approach to enhance 'design for manufacturability (DfM)' paradigm. Integrating digital twins and generative artificial intelligence (AI), a software is proposed that not only simulates real-world environments for testing and visualisation of potential processes but also provides designs to optimise the manufacturing process, maintain cost, and enhance the product's appeal to the target market. The proposed model uses sensors to replicate the product in a digital environment to run a simulation. Meanwhile, a generative AI model embedded in the software provides creative and effective solutions based on user requirements and market data. When incorporated into the product development cycle, this process will ensure cost efficiency and improve the time required to develop quality products, enabling quicker launches. Thus, combining these emerging technologies yields a powerful, innovative model that enhances design for manufacturability.