Larger manufacturing enterprises have benefitted from smart-manufacturing innovations while smaller manufacturers have lagged behind—but that is changing.
Interoperability will make the autonomous mobile robot’s world go ‘round
Lutz Labisch to Become President and CEO for TRUMPF in North America
Worker training will be key to implementing Industry 4.0 in manufacturing, speakers at a presentation said today.
We all know the buzzwords circulating around digital data and the factory. You have heard them—Industry 4.0, smart factories, data analytics, and artificial intelligence (AI). The question we all have is how will this impact workers in the long term? What do these terms really mean? Nevertheless, both traditional software suppliers and makers of advanced manufacturing equipment are offering digital solutions.
As with any digital transformation process, the devil is in the details, and there are many potential pitfalls that can derail projects.
The bane of modern engineering is complexity. One promise of artificial intelligence and machine learning is helping engineers to use complex tools and harness vast data sets effectively.
Constant refinement of medical machining from tooling design to finished product requires not only the ability to handle a broad range of plastic and metal materials but also to achieve predictable results—particularly in the face of strict regulations.
Smart factory systems benefit from improved technologies, as well as proven applications.
New report from Claroty researchers finds latest ICS vulnerabilities most prevalent in energy, critical manufacturing, and water & wastewater sectors of critical infrastructure
