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Fabscape is the premier open platform for vendor-independent data monitoring, management, and analytics across the entire production line.
Semiconductor Manufacturing Analytics Maturity Model: Where Are You on the Scale?
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FEATURES | FABSCAPE | Equipment Manufacturer | 3rd Party Platforms | FDC System | MES |
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Cross-Vendor AI-Assisted Maintenance Planning | |||||
Cross-Vendor Predictive & Prescriptive Analytics Powered by AI | |||||
Custom Features Developed by Your Own Team | |||||
Cross-Vendor Equipment Performance Analysis | |||||
Single Dashboard for All Equipment | |||||
Tool Performance Summaries | |||||
Graphical View of Multiple Equipment Data | |||||
Customizable Data Analysis Across Equipment |
With vendor-developed extensions
For same equipment manufacturer only
Sophisticated Analytics, Simplified
News and Insights
- News & PR
Developers in the semiconductor space face a unique set of challenges when it comes to building data monitoring, management, and analytics solutions: proprietary platforms have rigid development environments that limit capabilities; platforms are siloed so developers have to recreate the same solutions to apply to different pieces of equipment; the complexity of developing on some platforms leads to long delays in developing custom features; and each platform may require knowledge of a different coding language.
- News & PR
Semiconductor Manufacturing Analytics Maturity Model: Where Are You on the Scale?
How many times per minute can your engineering staff check your manufacturing data? - Published Papers
When it comes to research and design, the semiconductor industry has a strong history of achieving transformational innovation by means of openness and knowledge-sharing. Since no single organization can bear the burden of the enormous expense involved in semiconductor research and design, industry-wide initiatives—even among traditional competitors—have paved the way for innovation that advances the entire industry.
Semiconductor Manufacturing Analytics Maturity Model: Where Are You on the Scale?
How many times per minute can your engineering staff check your manufacturing data?