Minimize unscheduled downtime
Preventing one hour of downtime can be worth $250,000 to a semiconductor manufacturer. Predicting when equipment downtime might occur and preventing it improves throughput for the semiconductor manufacturer. This also builds customer satisfaction and a strong relationship with the equipment manufacturer.
Reduce after-sales service costs
80-90% of equipment failures begin randomly, and “just-in-case” service technician staffing and spares inventory for unexpected downtime can be extremely costly. Leveraging condition-based and predictive techniques to detect issues before they fail enables leaner staffing and lower spare parts inventories.
Improve equipment reliability and yield
It’s commonly understood that downtime of critical production equipment impacts throughput. What isn’t common knowledge is that degraded performance from supporting equipment-like filters and fans can also have a significant impact on semiconductor quality and yield.
Equipment manufacturers and their customers are looking for Product-as-a-Service business models. These models often include high service level agreements (SLAs) and require new and better approaches to ensure uptime while managing costs.
Security remains a top priority within the semiconductor fabrication plant. GE Digital's industrial portfolio is purpose-built with a high degree of security to protect all data and intellectual property.
Optimizing the performance of assets to increase reliability and availability, minimize costs, and reduce operational risks.