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September 07, 2023 | Dr. Gerhard Luhn
AISSI: Addressing Semiconductor Manufacturing Challenges
AISSI aims to redefine AI-driven semiconductor production planning by elevating efficiency, quality, and enabling small and medium enterprise expansion.
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May 10, 2023 | Dr. Holger Brandl
Optimizing Semiconductor Production with Scheduling, Dispatching, Digital Twin & AI
Learn how combining scheduling, dispatching, digital twin, and AI technologies can deliver significant benefits in semiconductor production.
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May 24, 2022 | Karim Sadek
Process Run-Time Predictions
Predictive capabilities for process run-times can be used for operator guidance, resource optimization, and engineering insights.
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August 24, 2021 | Jim Connett
The Modeled Process
A well-modeled MES outlines the plan, design, and golden path to manufacturing excellence if followed.
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August 09, 2021 | Travis Stevens
A New Way to Optimize Semiconductor Yield: Make the Machines Hum Again
How to optimize yields in semiconductor fabs using a sophisticated approach to analyze lot and equipment data.
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June 21, 2021 | Jim Connett
What Does the Chip Shortage Mean for the Semiconductor Industry?
Manufacturing automation will play a critical role in semiconductor manufacturers’ ability to meet increasing demand for integrated circuits.
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February 08, 2021 | Ricco Walter
Digital Transformation for 200mm Fabs
As 200mm demand continues to outpace supply across the industry, Industry 4.0 technology has the power to breathe new life into 200mm fabs.
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January 18, 2021 | Helen Leps
2020: A year of challenges and digitization
With Covid19 digitalization is more needed than ever. The manufacturing industry took the chance to tackle automation and digitalization with high force.
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January 12, 2021 | Dr. Holger Brandl
Predictive Analytics: Enabling robust planning & factory optimization
Insights on predictive analytics to enable factory forecasting to optimize planning and production capabilities.
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October 13, 2020 | Dr. Holger Brandl
Spot and resolve shopfloor incidents faster with event stream processing
Using stream analytics to aggregate, combine, compare and model events in real-time, it dramatically reduces the delay between shopfloor incident and action.
