Demonstrating the enhanced value of innovative products can be challenging, particularly in industries like automotive manufacturing, where traditional blow fuses are the norm. Simply introducing a semiconductor-based alternative is not enough—specific simulations are required to provide real-time engineering insights into performance, cost savings, and sustainability benefits.

But how can we effectively perform simulations to showcase the added value of replacing a blow fuse with a semiconductor in a vehicle? The key lies in flexible data integration for product development and the use of knowledge graph technology to connect fragmented engineering data. By eliminating manual workarounds and enhancing proactive risk detection, manufacturers can achieve product quality improvements while reducing inefficiencies caused by complex engineering workflows.

In this session, Daniel Metzinger breaks down how knowledge graph technology enables end-to-end transparency, unlocking significant cost savings and sustainability benefits. Using a customer-agnostic analysis tool, he demonstrates a 14% saving potential and a reduction of 590 grams per vehicle, contributing to lower CO₂ emissions and more sustainable automotive designs.

Discover how innovative engineering solutions can reshape automotive manufacturing for a smarter, more efficient future.