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My original intention for this column was to discuss a phrase getting a lot of buzz lately, artificial intelligence (AI). By any measure, interest in AI is expanding exponentially, both in the number of articles one can read on the subject and, according to Google Trends, the number of searches for those articles.

New systems, software and processes are replacing so-called islands of automation with seamless, automated manufacturing lines that boost overall equipment effectiveness (OEE) from 30 to 80% or more.

When the new ISO 9001:2015 certification standard was announced in late 2015, it made waves in manufacturing due to its heavy emphasis on risk management. In our experience, in helping companies become ISO 9001:2015 certified, we’ve seen first hand how the value of embracing a risk-averse culture and the other core aspects of ISO 9001:2015 extends to all aspects of operations.

Our focus has always been on helping manufacturers improve quality, productivity and visibility. In Sight Machine 2.0, among other things, we’ve added a set of enhancements to improve visibility.

Additive manufacturing lets companies think “outside the box.” Engineers can now start to look at a part without restrictions on size, shape or material. Instead of taking 15 different CNC milled parts and brazing them together, these companies have reimagined the part entirely—to be built as one part.

The industry’s fastest growing firms are leveraging new artificial intelligence (AI), blockchain and Internet of Things (IoT) solutions to transform supply chains, transport and logistics. Reliance on paper forms and clashing systems are giving way to improved transparency across the value chain.

When visiting some machine shops I hear PM, most commonly known as preventive maintenance, referred to as “postmortem,” as in, “We just run the machines until they die.”

Are you ready for metamorphic manufacturing, what some call the third wave of the industry’s digitization? If not, take in Contributing Editor Karen Haywood Queen’s expertly reported story.

To get to smart manufacturing, the industry needs integration, simulation and analysis.

Demand for automation and robots is surging in multiple industries, including automotive, writes the CEO of Thomas.com.