Boost First Pass Yield by Unifying Your Data in a Digital Twin Database
AI Analytics: Enhance Your First Pass Yield with a Unified Digital Twin Database First Pass Yield (FPY) is a key metric in manufacturing, defined as the percentage of units that pass testing on their first attempt, divided by the total units tested during a specific…
Using AI to Improve Your First Pass Yield in Manufacturing
In today’s highly competitive electronics manufacturing sector, optimizing First Pass Yield (FPY)—the percentage of products that passed the test in the first trial without rework and retest —is crucial for improving efficiency, reducing costs, and maintaining customer satisfaction. Traditionally, manufacturers relied on manual methods, process…
Preventing recalls in electronics manufacturing with artificial intelligence
The demand for electronic products is growing exponentially. From microchips in computers and smartphones, automotive manufacturers also rely on components manufactured by electronics manufacturers, which are challenged by rising global competition and an increasing need to provide high-quality components. The electronics manufacturing industry has long…
AI technology to avoid tier 1 modules recalls
The automotive industry places great importance on maintaining superior quality, and suppliers can achieve consistent quality throughout the production chain by leveraging advanced manufacturing technologies. This article explores the various benefits that automotive suppliers can gain from advanced manufacturing in the industry. Enhancing Predictive Analytics…
Quality 4.0 – advanced technologies to maximize product quality
“Quality 4.0” refers to smart and digital methods of controlling the quality of products during and after manufacturing, which are crucial components of Industry 4.0. Quality 4.0 demonstrates new technologies such as Machine Learning/Artificial Intelligence and connected devices for achieving manufacturing operational excellence and maximizing…
