Software

At many facilities, when there’s a problem on the factory floor, the high-value, highly salaried engineers spend their time collecting data from different machines and systems, exporting it to spreadsheets and wrangling with it to find a solution. This process of data collection and analysis can take from days to weeks—and sometimes longer. There are two ways to transform this process: the traditional way and the intelligent way.

Networked production, machine learning in the production process, intelligent workpieces: What do all these buzz words mean? And, more importantly: How suitable are they for everyday use and how is this topic related to precision and grinding technology? All of these and more fascinating questions will be discussed at the Grinding Symposium, May 8-10, 2019 in Thun, Switzerland.

Irvine, CA, March 13, 2019 – CGTech kicked off the first of its 2019 North American VERICUT Users’ Exchange (VUE) events last week in Irvine, CA. At VUE, attendees learn about new software features, tips and tricks for improving manufacturing efficiency, and have the opportunity to express ideas about the future direction of the software. There is no charge to attend.

At a manufacturing organization, a hardware design engineer or a factory floor manufacturing engineer can wear the hat of a citizen data scientist. Optimizing a design process or improving throughput/yield on the factory floor could be his or her goal to bring more business value out of processes.

Chinese factories make up a third of the "manufacturing lighthouses," or principal drivers for adopting new technology in the fourth Industrial Revolution, according to a list by the World Economic Forum and management consulting firm McKinsey & Co. These advances in smart manufacturing should be encouraging for China, but the country already is undermining them.

Salt Lake City, Utah, USA – SA International (SAi), a provider of software solutions for the signmaking, digital printing and CNC machining industries, has announced the promotion of Gudrun Bonte to VP Product Management.

Manufacturers’ most valuable data is generated daily on shop floors, bringing with it the challenge of analyzing it to find prescriptive insights fast. This is an ideal problem for machine learning to solve.