Learn How to Apply AI to Maximize First Pass Yield in Electronics Manufacturing
The first-pass yield of the process is a critical metric in electronics manufacturing that directly impacts production efficiency, quality, and cost-effectiveness. FPY measures the percentage of products that pass all quality inspections and tests without requiring rework or repair. Achieving a high First pass Yield…
Why aren’t “PASS/FAIL” criteria sufficient for controlling manufacturing yield and quality?
Managing a mass manufacturing process is always a challenge because hundreds of tasks must be successfully completed before your products are ready to be shipped to your customers. At every stage of the production flow—from incoming raw materials to the final stage before delivery—we implement…
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…