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To run factories at optimal efficiency, plant managers need to mine real-time shop-floor operational data as fast as possible, to quickly determine where and when any manufacturing process bottlenecks occur. With today’s shop-floor data management software and related hardware solutions, manufacturers can leverage more key production performance data than ever in order to fine-tune their manufacturing processes.

Today’s products require high finishes, burr-free edges, freedom from contamination, and often close tolerances. Electropolishing provides all of those conditions and more in a matter of seconds for many metal parts. It is a process that has been used for more than a hundred years. It is widely known and the science is widely discussed, but its ability to run job shop lots and high-precision high-volume parts in the same equipment makes it a bit unique.

The industrial revolution of today, called Industry 4.0, is driven by the interconnectedness of advanced technology, automation, robotics, and real-time data, also called the Internet of Things (IoT). While these cyber-physical systems can autonomously exchange information to trigger actions and make decentralized decisions, it’s impossible to dismiss the importance of the human element in manufacturing.

After petroleum prices collapsed in the mid-2010s, shale oil and gas producers responded to the down-swing by borrowing techniques and technology from the energy sector’s offshore well operations, manufacturing, and even the medical industry to increase efficiency.

Glenn Bridgman describes the difference between his shop’s manual grinders and its newest state-of-the-art CNC ID/OD grinder, a Studer CT960 OD/ID from United Grinding (Miamisburg, OH), as “feel vs. facts.” Bridgman, president of Bridge Tool & Die (Buckley, MI), believes that manual grinding is a somewhat personal operation.

Powerful trends will push manufacturing close to complete automation by 2050, while the people still working in the industry will be empowered to rapidly innovate like never before.

Being a competitive player in the aerospace and defense industry is no small feat. In an industry in which you need to be accountable for every piece of an assembly, meeting customer expectations and requirements can be daunting tasks.

A conversation between Smart Manufacturing Editor in Chief Brett Brune and Sridhar Kota, professor of mechanical engineering at the University of Michigan and Executive Director of MForesight. 

Within manufacturing, a shift has begun to extend big data analytics and condition monitoring beyond the factory door to both ends of the supply chain—to customers, other end users and to second-and third-tier suppliers.

The concept of attaching data to CAD models, such as GD&T, seems to be growing. Using model-based definition, the industry is beginning to take advantage of the technique.