Lean Manufacturing and Industry 4.0 October 18, 2017 At UGN, one of our core operating principles is sustainability. That means minimizing waste to improve efficiency, add value, and refine the manufacturing process for our automotive products when and where we can.
One singular, sensational product data source August 28, 2018 Just getting familiar with the digital thread? You’ve come to the right place to learn what it is and why you need it for your products.
With Machine Monitoring, Instant ROI is Possible August 18, 2016 There have been many process improvement trends in manufacturing over the decades, and none have had more significant ROI than machine monitoring. The increase in machine monitoring is owed in large part to the rise in popularity of the open and royalty-free interconnectivity standard MTConnect.
When is it best to make your own components? October 3, 2018 Most manufacturers have relied on third-party vendors to make parts that are then incorporated into the final product. From automakers sourcing stereos and aircraft makers contracting for jet engines to a small bakery ordering plastic bags or a woodshop buying nails, producers of all types have supplemented their internal capabilities through a painstakingly developed supply chain of external vendors.
The Future of the Metalworking Industry May 2, 2017 Manufacturing Engineering asked thought leaders at five companies for their views on challenges and trends facing the metalworking industry.
GDPR: A Rick Oppedisano AI Love Story October 16, 2018 Artificial intelligence will go long way to imbue data management with trust.
Print locally—disrupt globally February 1, 2022 Additive will provide a simpler, more responsive supply chain for high-value parts, according to Velo3D CEO Benny Buller.
Advancing Industry 4.0 in a Pandemic September 9, 2021 The president of Eaton's Vehicle Group describes how the company accelerated its use of Industry 4.0 during the COVID-19 pandemic.
Using AI, ML to turn data into greenbacks at Rolls-Royce July 28, 2021 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.
Tulane Spinoff Enables Smart QA in Polymers February 7, 2018 Fluence Analytics (formerly Advanced Polymer Monitoring Technologies), a manufacturer of smart industrial and laboratory monitoring systems, recently released the third generation of its ACOMP, an automated system that performs continuous, real-time monitoring and characterization of polymers for 3D printing and other uses during manufacturing and post-processing.
