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General Electric Co. (Boston) has been very public about its use of additive manufacturing (AM) technology to build critical jet engine components, starting with the fuel nozzle for its LEAP engine.

With additive manufacturing (AM) as an established part of many companies’ product development and manufacturing processes, there has been a greater understanding of the technology’s technical and business advantages. With that, more users are benefitting from lighter and more durable parts, increased design freedom and on-demand part production.

Data management and the maintenance of clean, usable data for asset performance metrics pose great challenges for manufacturers today.

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.

As machine vision technologies improve, providing more data more frequently, new uses for inspection during the manufacturing process are emerging. The automotive industry might represent the ultimate challenge to providers of machine vision equipment used in robotic guidance and material inspection.

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.

Data mining and Big Data are hot topics. Your company develops process mining software; how does it differ from data mining?

Ford Motor Co. unveiled the interior of its new Advanced Manufacturing Center on Tuesday, demonstrating how it’s looking to technology to improve its manufacturing.

Changes in health care are driving more innovative tooling, including new machining strategies and complex cutting tools that help deliver more patient-centered solutions.

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.