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Are you leading a digital transformation initiative, focused on Industry 4.0, and looking for the best levers to reduce your engineering costs while guaranteeing product performance? Generative engineering could meet your needs.
It is a design technique that uses algorithms to automatically generate new design ideas. It can be used to exhaustively explore different design spaces and thus increase the performance of your product.
By using generative engineering, you can quickly generate many different design ideas and evaluate them to find the most promising ones. This can help you identify creative solutions to the design challenges you face and discover new possibilities for your product. This identification is guided by artificial intelligence tools, so that in just a few hours you can navigate very large solution spaces (several thousand!)
See here how Renault uses Dessia's generative engineering solutions for its design process.
On the contrary, you can better understand the limits and possibilities of your product. In this way, your engineers will be able to challenge their assumptions and perform rapid trial-and-error loops to converge on more optimal trade-offs.
It is also important to track and document your design decisions in detail when using generative engineering. This will allow you to better understand why you chose certain design options over others and ensure that you can replicate the results in the future.
In short, using generative engineering to exhaustively explore design spaces can be an effective way to increase the performance of your product. By generating numerous design ideas and testing them, you can find new creative solutions to design challenges and better understand the limits and possibilities of your product. By carefully tracking and documenting your design decisions, you can also better understand how to improve the performance of your product in the future.
