Late-stage errors and validation issues inflate R&D costs and delay market entry, posing significant challenges for engineering organizations. Despite years of pursuing Shift Left strategies, traditional point-based design methods often lead to entrenched design decisions before a sufficient range of alternatives have been explored.

Set-based design, on the other hand, embraces the exploration of multiple design options concurrently, reducing late-stage errors and ingraining flexibility in the development process. However, there are significant barriers to implementing set-based design strategies, due to the high computational spend, challenge of multi-disciplinary collaboration in complex design spaces and an over-reliance on excessive simulations.

This is where Secondmind for System Design comes in. By enabling intelligent, automatic identification of feasible sets of designs at the start of the design process, it minimizes the need for costly simulations and reduces late-stage error corrections, while its intuitive user interface promotes efficient collaboration across domains.

This white paper explores how Secondmind has enhanced set-based design, tackling the major issues of high-dimensional automotive design, effectively cutting time-to-market and costs for customers.

Download it to learn more here.