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Before harmonizing new technology onto the manufacturing floor, critical steps include determining the business problems to be solved and securing buy-in from all stakeholders, industry leaders said recently during an AeroDef conference panel talk on manufacturing production harmonization.

FANUC has made real one of the promises of Industry 4.0, that of predictive maintenance for factory equipment, with its Zero Down Time IoT solution. ZDT can be applied to any of FANUC’s robotic arms and their peripherals.

The auto industry wants to expand the use of 3D printers. Automakers such as Ford Motor Co. and BMW AG are working directly with additive manufacturers concerning deployment of the technology.

We all know the buzzwords circulating around digital data and the factory. You have heard them—Industry 4.0, smart factories, data analytics, and artificial intelligence (AI). The question we all have is how will this impact workers in the long term? What do these terms really mean? Nevertheless, both traditional software suppliers and makers of advanced manufacturing equipment are offering digital solutions.

For machine shops in a competitive global marketplace, keeping spindles running and making product is the only way to stay in business. Still, adding a new piece of equipment, even with the promise of improving the efficiency of your existing ones, may be a difficult sell to management.

There’s growing evidence that some of the moldmaking business that fled the U.S. chasing cheaper sources offshore is returning. Moldmakers are not finding enough of a favorable cost differential to offset poor mold performance and the need for rework of faulty molds.

As technologies that are a part of Industry 4.0 proliferate, investing in a single platform creates efficiencies in operation and in training.

To Reflect Maturity of IoT Marketplace, places new focus on technology innovation that fosters business transformation

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.

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.