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Generative AI for Product Design and Development is an interesting topic. As a mechanical engineer, being curious to know about AI along with latest trending topic Generative AI. Globalization puts manufacturing enterprises in the need for continuous change and the adaption to new challenges in the smart connected environments. Trying to understand how it is going to helpful for the manufacturing industry to enhance their product development via PLM.
What is Generative Artificial Intelligence?
Consider ourselves in the learning process through browsing books, articles published in journals etc. feed it as many to the brain as possible, which in turn will make us to speak on the particular topics. In the same fashion with the advent of Neural Network, which uses artificial intelligence formulas enables to abstract the underlying pattern pertaining to the input, and after that utilize that to create similar content with higher quality outputs by self-learning from every set of information that are not limited to text, images, videos etc.
Generative AI uses a type of deep learning called generative adversarial networks (GANs) to create new content. A GAN consists of two neural networks: a generator that creates new data and a discriminator that evaluates the data. The generator and discriminator work together, with the generator improving its outputs based on the feedback it receives from the discriminator until it generates content that is indistinguishable from real data.
Ref: World Economic Forum
How it is applicable to manufactures via PLM Industry?
Some of the simple usecase that have impact of Generative AI in Design and Development as
Product Design
Generative AI have many potential benefits that could positively impact (value-added to) the manufacturing industries economy. Among the straightforward use case I can consider in New Product Development (NPD), assimilation of generative AI in CAD application which helps the product design engineer by generating ideas for end items based upon the client demands, enabling manufacturers to maximize cost, performance, besides recyclability and sustainability.
Product Development
To stay compliant with rigorous regulatory criteria of the product established, suppliers can simplify process, improve approaches, as well as automate processes by means of PLM by using the power of generative AI the communication, option of Suppliers, their components can be structured to accomplish high quality, operational, besides compliance excellence.
Final Thoughts
Manufacturing Industries encounters a number of challenges today, such as developing smart sustainable products for the future, considerate of sustainability and energy efficiency. Generative AI is powerful such that it can analyze data’s generated from CAD to PLM to ERP to MES to SCADA to IIoT, which has the potential to revolutionize the manufacturing industry transformation with combination of Industry 4.0 technology through Industry5.0. Just my thoughts!
