The most important step in digitizing any manufacturing or supply chain process is analysis of the ROI and business case and being able to demonstrate success to company leaders.
Industrial computed tomography is a cost-effective, reliable way to meet intensifying
requirements for qualifying both the design of aerospace parts and the materials needed for their construction.
A technological transformation at renewable energy firm Siemens Gamesa will enable real-time reporting and digital enabling of its workforce.
Key steps are virtual twins and real relationships.
Sandvik Coromant’s Package Selector Application analyzes a 3D CAD model of a product and recommends the smallest packaging possible using an AI algorithm that calculates the product’s rotation.
While fossil fuels dominate the energy market, expect a new mix of parts as renewable energy and EVs grow in market share.
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.
AI software enables the company to capture relevant runtime metadata and put it into context to create useful information in real time.
Worker training will be key to implementing Industry 4.0 in manufacturing, speakers at a presentation said today.
Craig Zoberis and Davin Erickson detail how Fusion OEM discovered and implemented collaborative robots, or cobots. The company is now investing in future expert machinists by using cobots—and making headway in closing the manufacturing industry skills gap. They explain the phases of training for cobots, as well as how cobots “talk” with other machines—and how machines perform “handshakes” (and are therefore envied by humans who today are struggling with social distancing).
