In a new era of industrial revolution, intelligence is key. Knowing how product design can affect manufacturability or how production processes can affect finished quality helps manufacturers make ...

Researchers at Korea University have developed a machine learning model for predicting sheet resistance in phosphorus oxychloride (POCl3) doping processes in solar cell manufacturing. “Our study aims ...

The industrial environment is undergoing a significant transition in a time of fast technological advancement, and Industry 4.0, or smart manufacturing, is at the vanguard of this transition.

The data silos contained in disconnected manufacturing systems makes gaining an accurate understanding of day-to-day operations difficult. A Unified Namespace architecture is becoming essential for ...

The nature of manufacturing is changing, and at the heart of this transformation is the use of real-time data, automation, robotics and machine learning — to name just a few technologies that ...

Established in 1809, Miami University is located in Oxford, Ohio, with regional campuses in Hamilton and Middletown, a learning center in West Chester, and a European study center in Luxembourg.

If you are in manufacturing, you probably have heard of Industry 4.0, smart factories, the fourth industrial revolution, and smart manufacturing. But what exactly is the difference between all of ...

Predicting exactly how and when a process tool is going to fail is a complex task, but it’s getting a tad easier with the rollout of smart sensors, standard interfaces, and advanced data analytics.

Manufacturers are turning to their ERP and SCM systems for innovations as they seek to modernize operations. Enterprise resource planning and supply chain management software have been essential tools ...

Industry experts note that improving access to safety-critical information can significantly reduce workplace incidents, particularly in high-risk sectors. By embedding training into daily operations, ...