252: Adaptive Production, Resilient Manufacturing, and "Lightbulb Moments" in AI featuring Chris Stevens, SVP and GM of US Automation Business, Siemens Digital Industries

ManufacturingSiemens predictive maintenance AI

The AI analyzes machine data to predict maintenance needs based on specific parameters, allowing maintenance to be scheduled only when necessary rather than on a fixed schedule, which reduces downtime and parts costs.

“What we show them is based on data. We can do, we could do the scheduling for you. And you could do the maintenance when you need it based on these 6 parameters. It could be temperature, it could be moisture … by doing that, you can optimize your schedule, optimize those machines and do this one on day 10 and this one on day 180…”

Engineering & simulationSiemens digital twin and simulation tools

The company uses digital twins to virtually validate all different product configurations derived from a single bill of materials, allowing engineers to test variants without physical prototyping.

“what you could do is you could do virtual validation. on all your different configurations because we have that solve power now too. So, it allows you to create one, which simplifies everything I just described and allows you to virtually validate all the different configuration options.”