Challenges

Traditional manufacturing processes can require significant investment in prototyping and destructive testing to find safe and cost-effective assembly solutions. This development process is expensive in terms of wasted materials and time consuming for designers and engineers, but necessary to prove that a given design will perform and meet client specifications.

Opportunity

AI can be used to find patterns in manufacturing data that can lead to the best possible manufacturing solutions. By looking at a wide variety of data including materials properties, prior configurations, test results and more, AI based models can determine which combinations of variables are most likely to produce a positive result. Using this information, designers and engineers can pursue avenues that are most likely to work and may even find new solutions they had not thought of before. By focusing on high-probability solutions, manufacturers can reduce costs, speed time to market and improve quality.