EFFRA Innovation Portal

A new approach using characteristic video singals to improve the stability of manufacturing processes

Project: SEMI40

Updated at: 29-04-2024

Product health assessment using patterns in semiconductor wafer test data

Project: SEMI40

Updated at: 29-04-2024

Optimization of global production scheduling with deep reinforcement learning

Project: SEMI40

Updated at: 29-04-2024

Lead time prediction using machine learning algorithms: A case study by a semiconductor manufacturer

Project: SEMI40

Updated at: 29-04-2024

Stochastic Optimal Power Flow in islanded grids with renewable penetration, energy storage systems and possible curtailm...

Project: SEMI40

Updated at: 29-04-2024

Enabling Security and Safety Evaluation in Industry 4.0 Use cases with Digital Twins

Project: SEMI40

Updated at: 29-04-2024

Estimating wafer chuck angular velocity from video data

Project: SEMI40

Updated at: 29-04-2024

Deep Reinforcement Learning for Semiconductor Production Scheduling

Project: SEMI40

Updated at: 29-04-2024

Aufbau eines Modells zur ereignisgetriebenen Produktionssteuerung

Project: SEMI40

Updated at: 29-04-2024

SemI40 Project Poster

Project: SEMI40

Updated at: 29-04-2024

Machine Learning to Automate Network Segregation for Enhanced Secuirty in Industry 4.0

Project: SEMI40

Updated at: 29-04-2024

Towards Robust Visual Wafer Cleaning Anomaly Detection

Project: SEMI40

Updated at: 29-04-2024

Queuing Network Modelling for improved Decision Support in Manufacturing Systems

Project: SEMI40

Updated at: 29-04-2024

Oppurtinities, Challenges and Use Cases of Digitization iwthin the Semiconductor Industry

Project: SEMI40

Updated at: 29-04-2024

On-Line Screening of a Chemical-Machine Wafer Cleaning Process Based on Ordinal Measure

Project: SEMI40

Updated at: 29-04-2024

Ein Industrie 4.0 Use Case in der Motorenproduktion

Project: SEMI40

Updated at: 29-04-2024

Digitalisierung zur Sicherstellung von Qualitätszielen in der Halbleiterindustrie

Project: SEMI40

Updated at: 29-04-2024

Monitoring Industry 4.0 Applications for Security and Safety Standard Compliance

Project: SEMI40

Updated at: 29-04-2024

A comparison of Supervised Approaches for Process Pattern Recognition in Analog Semiconductor Wafer Test Data

Project: SEMI40

Updated at: 29-04-2024

Framework for a Closed Control Loop Between Supply Chain Segments and Production Line

Project: SEMI40

Updated at: 29-04-2024

Investigation of multi-run Independent Component Analysis on simulated semiconductor data

Project: SEMI40

Updated at: 29-04-2024

Opportunities, Challenges and Use Cases of Digitization within the Semiconductor Industry

Project: SEMI40

Updated at: 29-04-2024

Simulation-assisted decision making for supply chain disruptions in production control

Project: SEMI40

Updated at: 29-04-2024

Newsletter SemI40

Project: SEMI40

Updated at: 29-04-2024

Application of IEC 62443 for IoT Components

Project: SEMI40

Updated at: 29-04-2024

Accuracy and robustness against covariate shift of water chiller models

Project: SEMI40

Updated at: 29-04-2024

Inter-Device Sensor-Fusion for Action Authorization on Industrial Mobile Robots

Project: SEMI40

Updated at: 29-04-2024

Optimal Wafer Dispatching based on Dynamic Programming

Project: SEMI40

Updated at: 29-04-2024

A Web-based Virtualization Toolbox for the Integrated Visualization of Data within Semiconductor Fabs

Project: SEMI40

Updated at: 29-04-2024

Towards Robust Visual Wafer Cleaning Anomaly Detection

Project: SEMI40

Updated at: 29-04-2024

Resources

Selected filters:

A new approach using characteristic video singals to improve the stability of manufacturing processes

Product health assessment using patterns in semiconductor wafer test data

Optimization of global production scheduling with deep reinforcement learning

Lead time prediction using machine learning algorithms: A case study by a semiconductor manufacturer

Stochastic Optimal Power Flow in islanded grids with renewable penetration, energy storage systems and possible curtailm...

Enabling Security and Safety Evaluation in Industry 4.0 Use cases with Digital Twins

Estimating wafer chuck angular velocity from video data

Deep Reinforcement Learning for Semiconductor Production Scheduling

Aufbau eines Modells zur ereignisgetriebenen Produktionssteuerung

SemI40 Project Poster

Machine Learning to Automate Network Segregation for Enhanced Secuirty in Industry 4.0

Towards Robust Visual Wafer Cleaning Anomaly Detection

Queuing Network Modelling for improved Decision Support in Manufacturing Systems

Oppurtinities, Challenges and Use Cases of Digitization iwthin the Semiconductor Industry

On-Line Screening of a Chemical-Machine Wafer Cleaning Process Based on Ordinal Measure

Ein Industrie 4.0 Use Case in der Motorenproduktion

Digitalisierung zur Sicherstellung von Qualitätszielen in der Halbleiterindustrie

Monitoring Industry 4.0 Applications for Security and Safety Standard Compliance

A comparison of Supervised Approaches for Process Pattern Recognition in Analog Semiconductor Wafer Test Data

Framework for a Closed Control Loop Between Supply Chain Segments and Production Line

Investigation of multi-run Independent Component Analysis on simulated semiconductor data

Opportunities, Challenges and Use Cases of Digitization within the Semiconductor Industry

Simulation-assisted decision making for supply chain disruptions in production control

Newsletter SemI40

Application of IEC 62443 for IoT Components

Accuracy and robustness against covariate shift of water chiller models

Inter-Device Sensor-Fusion for Action Authorization on Industrial Mobile Robots

Optimal Wafer Dispatching based on Dynamic Programming

A Web-based Virtualization Toolbox for the Integrated Visualization of Data within Semiconductor Fabs

Towards Robust Visual Wafer Cleaning Anomaly Detection