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How Collaborations Expedite Tooling Progress

Ongoing exchange between CAD/CAM software technology developers and cutting tool manufacturers is an excellent illustration of how technology collaborations can create productivity gains in manufacturing. Several examples involve our company and cutting tool manufacturers.

Solving the Shop-Floor Data Analysis Puzzle

As the move toward a more connected manufacturing industry gains momentum and manufacturers start collecting factory-floor data, the need for fast, efficient data analysis becomes ever more critical.

Composites for Aerospace: Faster, More Automated

The aerospace industry continues to increase its use of composites, a phenomenon that’s pushing academics, trade groups and manufacturers to research and develop methods to enhance the techniques and tools for using the materials.

Walking the Talk at IMTS 2018

I just returned from IMTS in Chicago and my first thought was, “where will I be able to rack up all those bonus steps I got last week?” On the easiest day, I walked 7.9 miles, and I topped 10 miles on two other days. It’s easy to understand why.

Take Control at IMTS 2018

Most anyone attending IMTS 2018 is well aware that machine tools are the lifeblood of virtually any manufacturing company. Without lathes and machining centers, parts don’t get made, barstock collects dust on the shelf, and machinists…they’d have nothing to do.

Just What the Doctor Ordered for Business Expansion

When making over-the-counter and prescription soft-gel products, the dosage that fills each gel cap must be precise. It follows, then, that the system for metering the amount of formulation demands the same exacting level of precision. Such is the requirement at leading contract manufacturers of nutritional and pharmaceutical soft-gel products. To keep their metering pumps and production equipment accurate and reliable, they look to Progressive Tool & Manufacturing Inc. (Greensboro, NC).

Real Thinking About Artificial Intelligence

My instincts tell me we need a sense of urgency around the use of artificial intelligence (AI) in manufacturing. The urgency is driven by how quickly technology can move today, and how an unexpected breakthrough can quickly dominate.