Adopting Predictive Maintenance On Fab Tools


Predictive maintenance, based on more and better sensor data from semiconductor manufacturing equipment, can reduce downtime in the fab and ultimately cut costs compared with regularly scheduled maintenance. But implementing this approach is non-trivial, and it can be disruptive to well-honed processes and flows. Not performing maintenance quickly enough can result in damage to wafers or the... » read more

Smart Manufacturing: What’s Needed For The Industrial Intelligence Revolution?


Smart manufacturing – the use of nascent technology within the industrial Internet of things (IIoT) to address traditional manufacturing challenges – is leading a supply chain revolution, resulting in smart, connected, and intelligent environments, capable of self-operation and self-healing. While factory automation has been around for decades, smart manufacturing goes a great deal furth... » read more

The Drive Toward More Predictive Maintenance


Maintenance is a critical behind-the-scenes activity that keeps manufacturing facilities running and data centers humming. But when not performed in a timely manner, it can result in damaged products or equipment, or significant system/equipment downtime. By shifting from scheduled maintenance to predictive maintenance, factories and electronic system owners can reap substantial benefits, in... » read more

Robots Become More Useful In Factories


Most people associate factory automation with large robotic machines, such as those that weld automobile chassis on assembly lines. But as prices drop and technology improves, robots are being deployed for smaller and more varied tasks, and they are getting better at all of them. Inside of factories, robots can significantly improve output, consistency, and reliability. They can work around ... » read more

Weaving Digital Threads Into A Global Fabric Of Enterprise Knowledge


How smart manufacturing software provides visibility and control of all phases of the semiconductor manufacturing process. Run-to-run (R2R) automated process control gathers critical data from each production run and automatically adjusts process parameters for the next run based on sophisticated models of process performance. Click here to read more. » read more

Manufacturing Shifts To AI Of Things


AI is being infused into the Internet of Things, setting the stage for significant improvements in manufacturing productivity, improved uptime, and reduced costs — regardless of market segment. The traditional approach to improving manufacturing equipment reliability and efficiency is regular scheduled maintenance. While that is an improvement over just fixing or replacing equipment when i... » read more

Digging Much Deeper With Unit Retest


Keeping test costs flat in the face of product complexity continues to challenge both product and test engineers. Increased data collection at package-level test and the ability to respond to it in a never-before level of detail has prompted device makers and assembly and test houses to tighten up their retest processes. Test metrology, socket contamination, and mechanical alignment have alw... » read more

Smart Manufacturing In Fabs


Not long after STMicroelectronics opened its first semiconductor plant in Singapore more than 50 years ago, a facility chiefly focused on chip assembly and packaging, the company realized that it had constructed the site in an area with a blossoming chip ecosystem with a bright future. Before long, the company became the first to start a wafer fab facility in the so-called Little Red Dot. To... » read more

Adaptive Test Gains Ground


Not all devices get tested the same way anymore, and that’s a good thing. Quality, test costs, and yield have motivated product engineers to adopt test processes that fall under the umbrella of adaptive test, which uses test data to modify a subsequent test process. But to execute such techniques requires logistics that support analysis of data, as well as enabling changes to a test based ... » read more

Much Smarter Manufacturing


Smart manufacturing is undergoing some fundamental changes as more sensors are integrated across fabs to generate more usable data, and as AI/ML systems are deployed to sift through that data and identify patterns and anomalies more quickly. The concept of smart manufacturing — also referred to as Industrie 4.0 in Europe, for the fourth industrial revolution — emerged from the World Econ... » read more

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