Welding is an integral part of the heavy equipment manufacturing industry, and one of the challenges technicians face during welding is porosity—the presence of cavities in the weld metal.
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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.
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.
A band of “brothers” is easing the path to badly needed renewable energy systems in the vast remote lands of Argentina and neighboring Uruguay.
The vicissitudes of the Argentine economy make it difficult for small and medium-sized companies to plan long term. That’s why Conextube feels the urgent need to add “intelligent production technology” and increase process automation through the adoption of robots.
LIMS—the Low Investment Manufacturing System—is an unassuming little box consisting of a computer with proprietary Solution Engine software and an I/O hub that plugs into a standard outlet. When wired at the edge of a piece of production equipment, it becomes a simple solution for collecting and sharing complex sensor-derived data.
Businesses are starting to recover from the pandemic—some more than others—and the need to deliver a seamless experience from online to the store is requiring a rethink of entire supply chains.
The most important step in digitizing any manufacturing or supply chain process is analysis of the ROI and business case and being able to demonstrate success to company leaders.
AP&T provides a case study of the work it did at a plant in Italy of Fiat Chrysler Automobiles (now Stellantis).
Why don’t more manufacturers in the United States use smart manufacturing technologies like AI and machine learning to reduce waste, achieve predictive maintenance and enhance their automation systems? Five CESMII roundtable panelists share their insights.