Services

Can Legacy Fabs Keep Up with IoT Demand?

Can Legacy Fabs Keep Up with IoT Demand?

The Internet of Things (IoT) is set to drive demand and innovation in the semiconductor market over the next decade. While some consumer IoT applications will require semiconductors manufactured using cutting-edge technologies to deliver fast performance and low power consumption, the vast majority of chips for IoT applications will be utilized in client-side applications. These chips, such as a sensor monitoring room temperature in a connected HVAC system, require processing capabilities that can be met using legacy process (90 and 45nm) technologies manufactured on 200mm wafers.And herein lies the opportunity and challenge for legacy manufacturing.
The Service Model Evolution

The Service Model Evolution

The growing complexity of manufacturing chips, displays and solar cells together with higher investment costs of advanced production facilities are changing service and support requirements.  The service business is still driven by the need to keep systems up and running: identifying mechanical problems, adjusting hardware, replacing parts, etc. However, today’s semiconductor fabs are also under increasing pressure to accelerate and maximize yield, reduce cost and improve productivity.
Survey Says: We Can Do Better—and We Are

Survey Says: We Can Do Better—and We Are

Applied Materials is a place where the voice of the customer comes through loud and clear. Each year we conduct a comprehensive customer satisfaction survey so customers can tell us how we’re doing.  As we prepare for the 2013 survey, we reflect on last year’s results. Last summer we contacted more than 1,400 customers globally and got a response rate of 70 percent. Much of what we heard from respondents made us proud: across the board our customer satisfaction and loyalty ratings have gone up significantly. But there were still some pain points customers asked us to address. In the June 2013 issue of Nanochip Fab Solutions, we highlight what Applied is doing to engineer a better customer experience. This companywide effort encompasses technology, services, training, and process improvements.
Mining Big Data to Deliver Big Results

Mining Big Data to Deliver Big Results

More than 2.5 million terabytes of “Big Data” is created every day – a truly astronomical sum. The challenge is how to extract strategic insight and actionable information from these mountains of data. Semiconductor Manufacturing and Design magazine recently examined Big Data in microchip fabrication. The article includes perspectives from leading chipmakers and discusses Applied’s remarkable data-mining technology as a solution.
The Evolution of the Semiconductor Service Model

The Evolution of the Semiconductor Service Model

Once upon a time, microchips were (relatively) simple and so was servicing the machines used to make them: if a machine stopped working, you called a technician. We call this break/fix model Service 1.0.As chips became more sophisticated, instead of just repairing the equipment, Service 2.0 aimed to make it faster and more efficient.Today, chips are almost unimaginably complex and we’re on the brink of Service 3.0, where virtually everything in the fab is monitored to identify subtle shifts that could affect chip performance.Recently, Dan Hutcheson, CEO of VLSIresearch, explored the evolving nature of service with Charlie Pappis, group vice president and general manager of Applied Global Services.