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Nothing seems so obvious in subtractive machining than that milling and turning processes really are very different: single point vs. multipoint tools; rotating workpiece vs. rotating tool; static tool vs. rotating tool, etc.

Today, the ideal factory can achieve levels of self-controlling (and perhaps self-learning) production processes, in which production reacts autonomously to changes or faults and takes appropriate measures.

You have heard it before, today’s manufactured products are becoming ever more complicated. As computers and microcontrollers get ever cheaper and more powerful they have become more enticing for product engineers to use and incorporate. This means the intellectual property in the embedded software has grown increasingly in value – possibly exponentially.

The Fourth Industrial Revolution has begun, and there is wide agreement this revolution will involve cyber-physical systems with human-machine interaction and lots of data. But many still wonder what the revolution is about and what to expect as consumers and manufacturers.

Siemens’ product lifecycle management (PLM) business announces a new comprehensive solution to unleash the full potential of the burgeoning additive manufacturing revolution. The new solution, which will begin rolling out in January, 2017, is comprised of integrated design, simulation, digital manufacturing, data and process management software.

The ongoing digital transformation of manufacturing comes baked-in with many uncertainties, and the automotive business is no exception.

Challenged by an increasingly niche-oriented automotive market, The Chrysler Group (Auburn Hills, MI) must increase the number of models it offers while decreasing its capital investment. The company plans to offer 50% more models in 2009 compared to 2004, according to John Felice, VP of manufacturing, technology and global enterprise for Chrysler.

What are companies looking for in manufacturing execution systems [MES] software?

Manufacturing competitiveness depends on working faster, smarter, and better, with the convergence of the Industrial Internet of Things (IIoT) devices and smart sensors, software and data analytics.

Jon Sobel, CEO and Co-Founder of Sight Machine Inc. in San Francisco, sat down with Senior Editor Patrick Waurzyniak to discuss numerous topics related to Controls and Software, including how Sight Macine Inc. uses analytics software to help shops leverage plant-floor data.