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The New Imperative: Improving Operations Through Industry 4.0

When it comes to being successful, manufacturers today have more tools than ever to succeed. Chris Mahar, Associate Editor of Manufacturing Engineering, talks with Jeff Lage, President, Advanced Manufacturing Technologies at Ellison Technologies, about how Industry 4.0 is helping manufacturers improve operations through data collection and insights. Providing tips on how businesses can get the most capacity out of their machines, remove waste and enable their machines do more.

Laser Cutting Powers Up

Implementing a comprehensive laser cutting system is not a task for the faint of heart. In addition to the financial outlay, requirements include planning for a complete system, not just the laser, according to Dustin Diehl, laser division product manager, Amada America Inc., Buena Park, Calif.

Continuous Insulation Resistance Testing Boosts Motor Productivity

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.

Hybrid Additive/Subtractive Tech Changing the Face of Design and Manufacturing

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.

Software: The Road to Zero Defects

Reducing the risk of automotive defects is one of the most critical issues facing manufacturers today – to protect the well-being of consumers, as well as their own reputations and financial health.

Turning Data Into Decisions

How do we turn all the data collected at each step of the manufacturing process into something usable?