Robots simply are not used as widely as they could be, due to persistent barriers.
EV manufacturers must overcome a unique set of challenges to meet future customer expectations. Among them is the challenge to create innovative designs that meet safety requirements, performance criteria and keep costs down in the face of growing competition and a widening skills gap.
An engine manufacturer discovers there is a way to reduce 50 billion data points to 2 billion—a reasonable number from which the foundation for machine learning can be built.
The demand for titanium components by the aerospace industry began as a whisper about 15 years ago and steadily grew to a sustained, raucous shout over the last five and likely won’t quiet for several more.
Our focus has always been on helping manufacturers improve quality, productivity and visibility. In Sight Machine 2.0, among other things, we’ve added a set of enhancements to improve visibility.
Additive manufacturing lets companies think “outside the box.” Engineers can now start to look at a part without restrictions on size, shape or material. Instead of taking 15 different CNC milled parts and brazing them together, these companies have reimagined the part entirely—to be built as one part.
The industry’s fastest growing firms are leveraging new artificial intelligence (AI), blockchain and Internet of Things (IoT) solutions to transform supply chains, transport and logistics. Reliance on paper forms and clashing systems are giving way to improved transparency across the value chain.
When visiting some machine shops I hear PM, most commonly known as preventive maintenance, referred to as “postmortem,” as in, “We just run the machines until they die.”
Are you ready for metamorphic manufacturing, what some call the third wave of the industry’s digitization? If not, take in Contributing Editor Karen Haywood Queen’s expertly reported story.
To get to smart manufacturing, the industry needs integration, simulation and analysis.
