Manufacturers face a difficult task juggling the current “innovation agenda.” Today, the Industrial Internet of Things (IIoT), robotic automation and artificial intelligence (AI) are all poised to be the next big thing.
The classic manufacturing conundrum is how to make products quicker, cheaper, and better.
Until the middle of 2010, first-tier subcontract machinist, JJ Churchill, could produce turbine blades only if they had their fir-tree root-forms preground elsewhere, or if they were subsequently added by another subcontractor. No longer is this the case.
Simulation tools are making it much easier for manufacturers to optimize their processes, visualizing the entire path of production from NC metalcutting simulations through 3D design and factory-floor imaging.
The combination of AI with IIoT delivers intelligent, connecting systems that can self-correct and self-heal themselves.
Smart mechatronics offers greater intelligence, more efficient operation and a modular approach to delivering complete systems.
IMTS to highlight how wide-ranging processes are finding fresh ways to work together.
Why don’t more manufacturers in the United States use smart manufacturing technologies like AI and machine learning to reduce waste, achieve predictive maintenance and enhance their automation systems? Five CESMII roundtable panelists share their insights.
Blockchain technology is becoming a key player in modernizing supply chains to enable easy tracking, automate transactions and delivery, and build end-to-end trust, Chandra Narayanaswami, principal research staff member, Member IBM Academy of Technology at IBM Research, told people attending a smart manufacturing session at the MD&M West conference here last week.
Siemens announced today the introduction of Camstar™ Electronics Suite software, an innovative manufacturing execution system (MES) for electronics.
