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If Industry 3.0 is identified by the computerization of factory floor processes to make them “smart,” then Industry 4.0 can be understood as the expansion of the idea to include all of the non-factory floor inputs required to produce a quality product and a successful enterprise.

An Eaton executive describes the automotive supplier's plans to utilize Industry 4.0.

Part 1 of this three-part series on the Connected Machine Shop ran in the July issue of Manufacturing Engineering.

Manufacturing is moving towards high-mix production different products in very small lots. Advanced robotics may be needed to get there.

With the potential for a 30% productivity increase or even more, there's a strong incentive for automating CNC machining processes. But before you flip the switch on that robot, you’ll need to check out the surrounding tools and processes.

Manufacturers make strategic and operational decisions with digital production data and analytics, including information ranging from part counts and output speeds to machine conditions and alarm status.

To be competitive in today’s dynamic manufacturing environment, small- and medium-sized manufacturers (SMMs) need to implement mechanisms to facilitate the effective processing of multiple streams of highly volatile and time-sensitive customer requirements.

How real machine data can spur improvement in manufacturing.

Modern event-based machine vision systems increase efficiency, productivity, and quality

Understanding the flow of energy within a plant is key in defining a roadmap to decarbonization