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Like many technologies in manufacturing and fabrication today, welding operations have evolved to be more automated, flexible, adaptive, and “smarter” for improved throughput, safety and deposition accuracy.

The COVID-19 pandemic is causing major upheavals both in people’s lives and in the manufacturing world. One of the main problems that even the most developed nations are facing is a shortage of personal protection equipment (PPE), including masks, glasses, gowns, safety suits, and fans.

With a shortage of young workers willing and able to do today’s factory jobs, manufacturers are taking steps to retain the older workforce already punching in.

Maybe your company specializes in aerospace or medical components, and you need to produce complex geometries in metals too tough to cut via conventional machining methods.

Speeding the flow of jobs through the shop, while maintaining top quality, ranks among the hallmarks of any successful manufacturing operation’s goals.

Some of the key trends in manufacturing are brought about by convergence of the design and manufacturing industries. With manufacturers under more pressure than ever to deliver better products faster and at lower cost, the need to connect and automate design and manufacturing processes to reduce iterations, errors, and delivery times is becoming critical.

For decades, plant personnel have performed insulation resistance tests with handheld megohmmeters to prevent motor failures that lead to costly unplanned shutdowns, failure-to-produce penalties and rewinding repairs. However, these tests only provide a “snapshot” of motor health. In a matter of days, motor windings and cables exposed to moisture, chemicals, contaminants or vibration can be compromised and fail at startup.

Well into the 21st century, the medical industry faces a host of intriguing challenges, from aging populations to a growing range of personalized and at-home diagnostic and care devices—all set against a backdrop of increasing digital collection, transfer and storage of sensitive patient data.

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.

The automation debate is a captivating one, but for some it conjures up images of a world where their roles become obsolete, superseded by the ruthless efficiency and unwavering energy of machines.