Digital twins are breathing life and innovation into increasingly more areas of manufacturing as well as solving challenges for machine shops of all sizes. With the skilled labor shortage and an ongoing effort to reshore high-tech manufacturing to the U.S., digital twins have a lot to offer.
Explore the digital transformation of transportation, from EVs to smart manufacturing
There has never been a more exciting time in the automotive industry. We are seeing unprecedented advancements in technology and materials coming to market in record time.
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 a Tier 1 automotive manufacturer in Mexico, it quickly became clear that AI in the factory was a fantastic solution to help human workers achieve greater levels of success; a human plus machine scenario where AI enhances the capabilities of, rather than replaces, human workers.
Claudia Jarrett, U.S. country manager at automation parts supplier EU Automation, explains why robots are more than affordable for small and mid-sized enterprises (SMEs).
Tool presetting machines are a wise investment for machine shops that want to increase their machine utilization. Idle machine tools are often indicators of inefficient machining operations, and stopping a machine tool for any reason is synonymous to losing profits.
Industry 4.0 is inevitable, and everyone is looking to find a way forward. But manufacturing leaders who focus only on the technology involved will be frustrated—because the new industrial revolution is just as much a culture and people thing as it is a technology thing.
AM is used in everything from aerospace and automotive to consumer products. But some of the earliest and most significant applications are in healthcare. To this end, the theme of this month’s Manufacturing Engineering is medical machining.
With Lantek MES, the entire manufacturing process can be tracked from planning through execution, allowing operators to group parts according to various criteria, such as machines, materials, thicknesses, customer and delivery date.