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The classic manufacturing conundrum is how to make products quicker, cheaper, and better.

Nesting is the process of arranging parts to be cut from sheets of metal or wood in the most efficient manner possible in order to maximize yield and speed the cutting process. By reducing scrap and accelerating the cutting process, fabricators are saving on material cost while running more jobs.

Welding has been around for millennia, but today’s technology doesn’t often benefit from the information- and feedback-rich technologies that its machining cousin does. Christopher Ripley, Director of Business Development, and Eduardo Almeida, Director of Engineering, Innovation and R&D for BrandTech®, sit down with Chris Mahar, Associate Editor, to talk about the company’s BrandTech® Precision Welding system and how its computer-controlled system differs from traditional stud welding.

April is National Welding Month and exciting things are happening within the industry. In this podcast, Chris Mahar, Associate Editor of Manufacturing Engineering magazine, talks with Monica Pfarr, Executive Director of the American Welding Society Foundation about what’s happening in the industry and what AWS is doing to celebrate. From the industry as a whole to the current market temperature and the workforce, this podcast is a welding one-stop-shop.

Turning to software over paper reports does more than just save trees. Chris Mahar, Associate Editor of Manufacturing Engineering, talks with David McPhail, President and CEO of Memex Inc., about how manufacturers can utilize technology to improve efficiency, reduce downtime and boost productivity and profits across their business.

Manufacturers require a deep understanding of operations to make quick, data-driven decisions and keep production running in the face of unpredictable challenges.

To climb the Mastercam learning curve, Ariel Corp. worked with CNC Software to craft a training course for its workforce.

The complex world of artificial intelligence and machine learning—and why it all matters

Materials.AI is trained on Fictiv's manufacturing data to help mechanical engineers navigate material options.

How to effectively manage, automate and refine maintenance operations