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.
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.
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.
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.
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.
September 16, 2020 | Axel Wogawa
Industry 4.0: Pros & Cons of Cloud Computing in Smart Manufacturing
Pros and Cons of Cloud Computing in Smart Manufacturing: What advantages does it offer over conventional on-premises computing plus what are the drawbacks?
August 18, 2020 | Jim Connett
The Details Are in the Data
Insights on manufacturing data collection: How should data be collected? When should data be collected? Where should the data be stored?
May 29, 2019 | Dr. Lutz Muche
Research News: Production Forecasting Solutions
Promising research offers solutions for the automatic detection of bottlenecks, forecasting and prediction of dynamic WIP waves, determination of optimal scheduling of equipment-maintenance cycles and...
November 20, 2018 | Dr. Gerhard Luhn
On imagination and thinking – the role of expertise in microelectronics, and the link to artificial intelligence
Artificial Intelligence has limits related to true learning, particularly in the microelectronics manufacturing industry where imagination, thinking, and real world expertise are required to discover ...