Automotive engineering has never had so much complexity to address. Producing millions of vehicles per year is a daunting feat.
While suppliers are under more pressure than ever to produce precision parts faster and with less scrap, in-process metrology means manufacturers can detect as soon as possible when a part is going wrong, correcting the issue quickly and saving it from scrap.
When it comes to using new materials, medical and dental device makers are ultra-conservative—because they need to clear devices through a thicket of federal regulators.
Conrad Leiva, vice president for product strategy and alliance at iBASEt and chair of the smart manufacturing working group at MESA International, speaks with Smart Manufacturing magazine Editor in Chief Brett Brune.
Manufacturers who have deployed the digital or smart factory have put down their pencils, found new uses for their clipboards and closed their spreadsheet programs in favor of using real-time data gleaned from condition monitoring of their machinery.
Information technology and operations technology are unlikely candidates for a successful marriage. But to ensure that manufacturers thrive in the digital age, OT and IT must find ways to work together—or to at least, as on Tinder, swipe right to indicate interest.
In a broad-ranging display of high-precision manufacturing proficiencies, Murata Machinery USA demonstrated its turning, fiber laser, punch press and automated storage technologies Sept. 18-20 at its biennial North American technology showcase.
Chuck Mathews, executive vice president, CMO, CTO ESPRIT CAM, part of Hexagon Manufacturing Intelligence, discusses the latest software trends.
Vollmer of America completed its move into a new 30,000-square-foot facility near Pittsburgh International Airport in June of 2020 and participated in the Las Vegas AWFS Fair in July this year.
In the AI world, fear is driven by unfamiliarity with the process, the professional impact of failure and the daunting tasks of pulling together all of the people and perspectives required just to get started. Here are three key lessons learned from our work with Rolls-Royce and Gulfstream that will clear your AI project for takeoff.