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Preventive maintenance is essential for manufacturers to reduce downtime—and the vast amounts of data being produced by plants can be effectively used for predictive maintenance.

Why don’t more manufacturers in the United States use smart manufacturing technologies like AI and machine learning to reduce waste, achieve predictive maintenance and enhance their automation systems? Five CESMII roundtable panelists share their insights.

Digitization and data dominated the discussion as EASTEC returned to West Springfield, Mass., after its 2020 pandemic hiatus.

Shop floor metrology equipment is getting faster, smarter, and more automated. Is it time for an upgrade?

Machine stops stake their reputation on their finishing techniques for cross hole deburring, cylinder honing, surface finishing, edge-blending and cleaning of parts.

The program is equipped to solve wide range of unique grinding and finishing challenges through its Robotic Automation Cell Anchors Program

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.

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.

GE Appliances (GEA) has been designing and manufacturing consumer appliances for over 125 years. The iconic brand, headquartered in Louisville, KY, employs nearly 6000 people, a number that rose to 12,000 employed globally after its acquisition by Haier, making the company part of the largest appliance manufacturer in the world.

More and more manufacturers are seeing productivity as a crucial factor to their business success. In the meantime, business models are changing from the large quantities and few variants to small quantities with frequently changed variants. This change requires high flexibility during production.