The classic manufacturing conundrum is how to make products quicker, cheaper, and better.
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 range and requirements of flexible machining cells are increasing.
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.
Light vehicles will be so different by 2035, experts aren’t even sure we’ll still call them “cars.” Perhaps “personal mobility devices.” More important will be the radical changes to the manufacturing of automotive parts.
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.
New-to-market REcreate redefines reverse engineering with a fresh, flexible design approach.
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.
Software AG (Frankfurt, MDAX: SOW) announced an original survey of over 125 North American manufacturers in the heavy industry and automotive sectors that revealed they are unable to scale their Industrial Internet of Things (IIoT) investments across their enterprises, and therefore are losing millions of dollars in potential profits while falling behind competitors that have invested in enabling technologies that support IIoT across the enterprise.
