Hi-tech Electronics and Semiconductors Some of the greatest challenges in Hi-tech Electronics and Semiconductor Industry are the shortening product life cycles, increasing number of concurrent products introductions in manufacturing and the explosive growth of data generated in manufacturing systems.  Predisys® Manufacturing Analytical Suite is built to help companies meet these challenges and become the leaders in their markets.

Predisys® Manufacturing Analytical Suite provides Hi-tech companies a Microsoft based horizontal platform for building an online SPC solution integrated seamlessly with any existing MES system as well as a powerful global Engineering Analysis environment for turning massive test or MES databases into strategic information. The Predisys core engine technology is built in partnership with leading microelectronics companies like Atmel and Vaisala to enabe concurrent analysis or millions of data points in a matter of seconds. This kind of high performance computing environment can be cost effectively built using standard multi-core processor hardware, Windows Server operating systems and MS SQL Server  2005. When all heavy processing is taking place on the server side, the client workstations will not be burdened with excessive load. The only applications needed on the client for analytics are standard Internet browsers and/or Microsoft Office.

Predisys solutions deliver the following capabilities for manufacturers in the hi-tech industry:

• Easy to use Engineering analytics enabling faster time-to-volume
• Collaborative, browser based  tools for Advanced Online SPC
• Improved yields and quality through real time performance measurement
• Increased effectiveness of Automated Test Systems
• Less problems with measurement variability though automated Gage R&R and Measurement Systems Analysis
• High performance data aggregation module (ETL) for MES and Test databases
• Reduced load caused by report generation on operational databases like MES
• Multi-location visibility to R&D, Material Sourcing, Customers etc.
• Connecting and organizing multiple data stores into one Operational Data Store (ODS) enabling effective correlation analysis
• Capability to handle and consolidate tens of thousands of process and test parameters in an fully automated data mart with a very low level of administration work needed