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…
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…
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…
Control your supply chain product quality and timely delivery
End to end supply chain quality management helps organizations identify and resolve product problems before they reach the market. Quality issues can arise at any point in the supply chain, and it is critical that organizations uncover them as early as possible to prevent incurring…
AI predictive analytics – Boost your manufacturing efficiency
The higher your level of analytics, the more value you will be able to extract from your data to create a global end-to-end control of your manufacturing process. AI predictive analytics 97% of companies plan to integrate AI into their manufacturing activities over the…
