Industry 4.0 Presents Training Challenges February 16, 2022 Worker training will be key to implementing Industry 4.0 in manufacturing, speakers at a presentation said today.
Making work safer, healthier one data point at a time November 23, 2021 As broad-based adoption of wearable tech grows, it is not a stretch to think that in a few years we will have enough predictive data to dramatically reduce workplace injuries and fatalities.
Siemens Gamesa shows how to expand value from cloud November 19, 2021 A technological transformation at renewable energy firm Siemens Gamesa will enable real-time reporting and digital enabling of its workforce.
Industry 4.0: The Print Edition April 13, 2022 What manufacturers wanting in on Industry 4.0 should know before investing in a 3D printer
Methods Machine Tools Hosts Concurrent Open Houses in the Southwest September 10, 2021 CNC machine tools supplier Methods Machine Tools is hosting concurrent open houses at its Phoenix and Los Angeles technical centers Oct. 5 to Oct. 7.
EssentiumX exploring the full potential of additive July 29, 2021 The whole of manufacturing is moving toward a leaner and more agile future enabled by additive manufacturing. But this change requires continuous and unrelenting innovation to be able to do things not done before.
AR in assembly graduates from proof of concept to prime time July 28, 2021 HoloLens 2, Microsoft’s second-generation, mixed-reality smart glasses is a big part of why augmented reality in assembly has become ready for prime time.
Will good times soon roll for regenerative medicine? July 23, 2021 New regulatory guidance and changes in workforce prep are needed before the good times will roll for regenerative medicine
Daiwa Steel Tube’s lesson in Internet of Things adoption July 27, 2021 Because its president saw opportunities to improve efficiency and an immediate need to make up for capacity lost due to impending worker retirements, Daiwa Steel Tube is set to save more than $1 million a year.
At Forecast 3D, digital savvy brings supply chain resiliency July 29, 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.
