Anirban Nag for Bloomberg: Robots to offset negative impact of slower labor force growth. Emerging markets won't be so lucky, Moody's report says
Dan Miklovic, LNS Research via Plant Services: On the road to smarter manufacturing, do not confuse sophistication with maturity.
Technology for Industrial Control Systems and SCADA are now available that allow for continuous monitoring of these critical systems. A baseline is created and any deviations can be alerted and acted upon.
Sculpteo's 3rd annual report on 3D Printing and Digital Manufacturing
Peter Hirshberg and Marcia Kadanoff for US News: Maker Cities are remaking America for the future.
Sarat Babu for The Engineer: If we're going to unlock the full potential of 3D printing we'll need to fundamentally rethink the design process, writes Sarat Babu, founder of Betatype.
KARLSRUHER INSTITUT FĂśR TECHNOLOGIE (KIT): Researchers develop guidelines for intelligent production and products
Unsupervised Machine Learning is much more cost effective than Supervised Machine Learning because the algorithm does not need blueprints or understanding of the physical process to "learn" the behavior of the asset.
The greatest benefit seems to be in complex control of the factory. A SCADA system is extremely useful for all of the workers on the production team. The operator has the main overview of the production in real time, the technologist is able to reconfigure the recipes from the office when itÂ's necessary, for maintenance it is important when and why the failures happened and the shift leader can check who is responsible for that.
After a developing period of 1.5 years 3D Ninja, the largest reseller of 3D printers in The Netherlands, officially launches http://www.ifind3d.com, the world's largest search engine for 3D printable models, containing 740.029 designs.
Jim O'Donnell for TechTarget: The era of 3D printing and additive manufacturing may be just around the corner, but the industry needs to coalesce for it to grow to scale, according to panel at Rapid + TCT conference.
By embracing the cloud, manufacturers no longer simply collect data but instead, gain actionable insights from it. Whether it's for quality improvement, sales forecasts or preventative maintenance, predictive analytics or machine learning can give manufacturers an edge over their competitors and possibly, a complete new service to sell.
IoTium's Managed Service Offering Transforms Mission Critical Industrial Environments to Accelerate the Mass Deployment of Industry 4.0 at Scale
Ian O'Neill, Space.com: The first printing segment of NASA's 3D-Printed Habitat Challenge is now complete, and the U.S. space agency has awarded $100,000 to the two winning teams.
IIoT-ready Human Machine Interfaces (HMIs) allow manufacturers to take data from the floor and share it with a local or cloud-based server, where it can be used company-wide, regardless of the user's location. The translation of machine data to actionable information allows companies to make cost-saving decisions and allocate resources more appropriately.
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