Summary
Michigan has a choice to make. We can look at the rise of artificial intelligence, cloud computing and data centers as something happening to us, or we can decide Michigan will help shape what comes next.
-Automation Alley CEO Tom Kelly in Crain’s Detroit Business
Read the op-ed in full here.
Automotive manufacturers have invested heavily in hardware-in-the-loop (HIL) environments and built extensive libraries of plant models, restbus configurations, and test cases. However, when validation moves to software-in-the-loop (SIL) environments, these artifacts...
One tool for a single task. For most of history, that’s the way it’s been. A hammer for driving nails, a saw for cutting wood. Even in the digital age, many tools have been designed for just one purpose: a keyboard for text input, an MP3 player for listening to music,...
Ask anyone what quality means and they’ll likely describe an experience: a product that works reliably, fits well, and lasts.But that experience is not an accident. It is the outcome of hundreds of engineering decisions across design, manufacturing, and inspection —...
dSPACE explains how automotive OEMs can reuse HIL validation artifacts—including plant models, network configurations, ECU artifacts, and test projects—in SIL environments to reduce duplicate engineering work, enable earlier testing, improve consistency, and scale automated validation.
Siemens frames Software-Defined Systems (SDS) as an industrial evolution inspired by smartphone adaptability, combining Software-Defined Products and Software-Defined Automation to deliver flexible, secure, scalable and industrial-grade capabilities.
Manufacturing quality depends as much on trusted data as trusted processes, and improving data integrity can significantly reduce hidden quality costs, eliminate manual inefficiencies, and enable more reliable digital manufacturing initiatives.
