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As OEMs and suppliers alike wrestle to convert Big Data to Smart Data, Industry 4.0 and digitalization, plus cloud-based technologies for production monitoring and management, how do manufacturers best work together with end-users to achieve today’s production targets and plan future facilities?

Automotive engineering has never had so much complexity to address. Producing millions of vehicles per year is a daunting feat.

Complexity is pervasive in today’s component design and manufacturing processes. In the latest product lifecycle management (PLM) software, manufacturers get more choices, with new functionality being added to help visualize manufacturing processes with technologies that include augmented reality (VR) and virtual reality (VR).

Live Tooling, as the name implies, is specifically driven by the CNC control and the turret of various spindle and powered sub-spindle configurations on CNC lathes to perform various operations while the workpiece remains in orientation to the main spindle.

In the near absence of academic programs to teach undergraduate engineering students additive manufacturing, a California-based startup has stepped in to help fill the void through internships.

Jabil Inc. (St. Petersburg, FL) said it’s establishing a global network of 3D printing facilities as the company expands its additive manufacturing business.

Data mining and Big Data are hot topics. Your company develops process mining software; how does it differ from data mining?

Lasers — well-established tools in the manufacture of medical devices—are continuing to break ground by producing smaller, more precise and more functional parts thanks to faster pulse speeds at lower cost, new applications and the marriage of laser processing to Swiss-style machining.

Vericut 8.1 includes a new additive manufacturing [AM] module that simulates additive and hybrid machining processes used in any order, and on any brand NC machine. AM has reached a maturity level and has proven to be a valuable addition to manufacturing strategies.

Manufacturers face a difficult task juggling the current “innovation agenda.” Today, the Industrial Internet of Things (IIoT), robotic automation and artificial intelligence (AI) are all poised to be the next big thing.