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Artificial Intelligence in Manufacturing leading to Sustainability and Industry5.0

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Preliminary micro service requirements and first architecture concepts (opens in new window)

First descriptions of requirements from use cases and requirements to address WP3 objectives with indications on possibilities for addressing the requirements based on the Eclipse Arrowhead architecture and implementation platform and which extensions that will be needed.

Compilation of the methods and sources evaluated for the guidelines for all industrial AI Use Cases (opens in new window)
Development and refinement plans for AI tools methods and algorithms (opens in new window)

Preliminary descriptions of the AI tools methods and algorithms that are the basis of refinement and tai-loring according to the automation, process engineering and industrial supply chain requirements.Note: As this report is declared public, confidential annexes will be provided within the separate, sensitive deliverable D2.5.

Reports on updated Digital Reference 2 (opens in new window)

This will especially cover the extension to sustainability for external supply chain. For example, the details for the CO2 balance of automotive supply chain (including semiconductors) and regenerative energy generation supply chain (including semiconductors) is not in yet (DR).

Reports on updated Digital Reference 1 (opens in new window)

This will especially cover the extension to sustainability for internal semiconductor supply chain. For example, the ecological operating curve is not yet in the digital reference (DR)

Exploration of HW components for the edge processing platform (opens in new window)

First, analysis of requirements from use cases and requirements to address objectives of WP2, WP3, and use-cases. Exploring of HW components fulfilling the requirements, the compatibility with sensors of the other partners, and under consideration of economic metrics.

Publications

Digitalisation & AI for Industry 5.0 Applications to Make Semiconductor Manufacturing Sustainable

Author(s): G. Schneider, F. Zoghlami, G. Luhn, F. Lindner, S .Keil
Published in: 22th. European Advanced Process Control and Manufacturing Conference, 2024
Publisher: apcm Conference in Hamburg

Data Augmentation Based on Depth Information for Neural Radiance Fields

Author(s): Hamed Razavi Khosroshahi, Jaime Sancho, Gun Bang, Gauthier Lafruit, Eduardo Juarez, and Mehrdad Teratani
Published in: Electronic Imaging Symposium, 2024
Publisher: NA

A Self-assessment Tool to Encourage the Uptake of Artificial Intelligence in Digital Workspaces (opens in new window)

Author(s): Belal Abu Naim, Yasin Ghafourian, Markus Tauber, Fabian Lindner, Christoph Schmittner, Erwin Schoitsch, Germar Schneider, Olga Kattan, Gerald Reiner, Anna Ryabokon, Francesca Flamigni, Konstantina Karathanasopoulou, George Dimitrakopoulos
Published in: NOMS 2024-2024 IEEE Network Operations and Management Symposium, Issue 1, 2024
Publisher: IEEE
DOI: 10.1109/NOMS59830.2024.10575125

Enabling Efficient and Flexible Interpretability of Data-driven Anomaly Detection in Industrial Processes with AcME-AD

Author(s): V. Zaccaria, D. Dandolo, C. Masiero, G.A. Susto
Published in: 10th IEEE International Conference on Control, Decision and Information Technologies, (IEEE CODIT), 2024
Publisher: NA

Making machine learning support accessible on the shop floor: visualising impeding bottlenecks in semiconductor manufacturing to induce proactive work behavior

Author(s): F. Lindner, V. Ramadasu, G. Schneider, G. Luhn
Published in: Euroma Conference, 2024
Publisher: Euroma Conference in Barcelona

Integrating Transport Loads in Production Planning. A Simulation Approach

Author(s): V. Betker, M. Kühn, S. Rank, G. Schneider
Published in: 22th. European Advanced Process Control and Manufacturing Conference in Hamburg, 2024
Publisher: APCM

Unleashing Value-driven Creativity at Universities - Enabling “Industry5.0” from R&D to the High Tech Industries

Author(s): G. Luhn S. Keil G. Schneider F. Lindner G. Reiner
Published in: 22th. European Advanced Process Control and Manufacturing Conference, 2024
Publisher: apcm

Sustainability is the new normal in high-volume semiconductor frontend production: Balancing WIP flow for energy availability, cost and peak consumption

Author(s): Hajo Terbrack, Holger Brandl, Tobias Sprogies, Karlheinz Leonardi
Published in: apcm conference Hamburg, 2024
Publisher: APCM

Enhancing Predictive Analytics in Semiconductor Manufacturing: A Deep Learning Approach for Overall Equipment Efficiency Estimation

Author(s): F. Boni, R. De Monte, Y. Yang, N. Gentner, J. K. Low, G. A. Susto
Published in: 10th IEEE International Conference on Control, Decision and Information Technologies, (IEEE CODIT), 2024
Publisher: NA

Industry 5.0 and Operations Management—the Importance of Human Factors (opens in new window)

Author(s): Fabian Lindner, Gerald Reiner
Published in: NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium, 2023, ISSN 2374-9709
Publisher: IEEE
DOI: 10.1109/NOMS56928.2023.10154282

Aggregated Simulation Modeling to Assess Product-Specific Safety Stock Targets During Market Up- and Downswings: A Case Study (opens in new window)

Author(s): Cas Rosman, Eric Weijers, Kai Schelthoff, Willem van Jaarsveld, Alp Akcay, Ivo Adan
Published in: 2024 Winter Simulation Conference (WSC), 2025
Publisher: IEEE
DOI: 10.1109/WSC63780.2024.10838984

Supporting Energy Management At IFX Using Artifical Intelligence

Author(s): F. Zoghlami, N. H. Annacota, M. Ernst, G. Welde, G. Schneider, C. Kögler, M. Wiese
Published in: Smart Systems Integration Conference in Hamburg, 2024
Publisher: SSI

AcME-AD: Accelerated Model Explanations for Anomaly Detection

Author(s): Valentina Zaccaria, David Dandolo, Chiara Masiero, Gian Antonio Susto
Published in: 2nd World Conference on eXplainable Artificial Intelligence, 2024
Publisher: NA

Jointly optimizing intralogistics, WIP flow and stocker management in a segregated high-automation semiconductor font-end fab

Author(s): Charlotte Lotze, Laurens Borgmann, Holger Brandl, Germar Schneider
Published in: apcm conference Hamburg, 2024
Publisher: APCM

Leveraging Machine Signals for Device-Level Quality Detection and Automatic Root Cause Analysis in Semiconductor Wire Bonding (opens in new window)

Author(s): Kenneth J. Braakman, D. Martin Knotter, Alp Akcay, Ivo Adan
Published in: 2024 Winter Simulation Conference (WSC), 2025
Publisher: IEEE
DOI: 10.1109/WSC63780.2024.10838790

Experimental Evaluation of Deep Neural Networks for Vehicle Model Identification

Author(s): Amira Moualhi, Maryam Nezami, Saleh Mulhem, Georg Schilbach
Published in: The 22nd European Control Conference (ECC), 2024
Publisher: NA

Variability reduction in semiconductor manufacturing using machine learning and explainable AI

Author(s): V. Ramadasu, F. Lindner, G. Reiner, G. Schneider, G. Luhn
Published in: 33rd European Conference on Operational Research in Copenhagen, 2024
Publisher: European Conference

Machine Learning and Explainable AI to Manage Process Variabilities and Resource Efficiencies in Semiconductor Manufacturing

Author(s): V. Ramadasu, F. Lindner, G. Reiner, G. Schneider, F. Lindner, G. Luhn
Published in: 22th. European Advanced Process Control and Manufacturing Conference, 2024
Publisher: apcm

Heterogeneous domain adaptation and equipment matching: DANN-based Alignment with Cyclic Supervision (DBACS) (opens in new window)

Author(s): Natalie Gentner, Gian Antonio Susto
Published in: Computer & Industrial Engineering, Issue Volume 187, 2024, ISSN 1879-0550
Publisher: Elsevier
DOI: 10.1016/j.cie.2023.109821

Future Generation Computer Systems (opens in new window)

Author(s): A. Mathew, V. Andrikopoulos, F. J. Blaauw, and D. Karastoyanova
Published in: Future Generation Computer Systems, Issue Volume 154, 2024, ISSN 0167-739X
Publisher: Elsevier
DOI: 10.1016/j.future.2023.12.026

Learning Priority Indices for Energy-Aware Scheduling of Jobs on Batch Processing Machines. (opens in new window)

Author(s): Daniel Sascha Schorn, Lars Mönch
Published in: IEEE Transactions on Semiconductor Manufacturing, Issue 37(1), 2023, ISSN 1558-2345
Publisher: IEEE
DOI: 10.1109/TSM.2023.3326865

CeRULEo: Comprehensive utilitiEs for Remaining Useful Life Estimation methOds (opens in new window)

Author(s): Luciano Lorenti, Gian Antonio Susto
Published in: The Journal of Open Source Software, Issue 8(88), 5294, 2023, ISSN 2475-9066
Publisher: Open Journals
DOI: 10.21105/joss.05294

On the Way to Realize the 5th Industrial Revolution: Achievements, Challenges and Research Areas (opens in new window)

Author(s): """G. Dimirakopoulos, K. Karathanasopoulou, T. Gutt, H. Ehm, A. Lackner, A. Hoess, G. Schneider"""
Published in: IEEE Industrial Electronics Magazine, 2023, ISSN 2374-9709
Publisher: IEEE
DOI: 10.1109/NOMS56928.2023.10154446

Industry 5.0: Research Areas and Challenges With Artificial Intelligence and Human Acceptance (opens in new window)

Author(s): """G. Dimitrakopoulos, K. Karathanasopoulou, A. Lackner, P. Varga, J. Delsing, M. Tauber, G. Schneider, H. Ehm, T. Gutt, A. Hoess"""
Published in: IEEE Industrial Electronics Magazine, 2024, ISSN 1932-4529
Publisher: IEEE
DOI: 10.1109/MIE.2024.3387068

Finding effective preventive maintenance policies for multiple machines in a single buffered flow line

Author(s): Frank Hartman
Published in: 2024
Publisher: NA

An aggregation model for short-term WIP forecasting in a high-mix waferfab

Author(s): Bram Smits
Published in: 2023
Publisher: NA

Interpretable Evaluation of Factual Consistency in Abstractive Summarization

Author(s): Daan Hegger
Published in: 2023
Publisher: NA

The power of computer vision: enhancing manufacturing quality control by automated image classification

Author(s): Corinna Kofler & Isabell Dicillia-Kowatsch
Published in: 2024
Publisher: WiDS Villach

Carinthia dataset (opens in new window)

Author(s): Corinna Kofler, Sabrina Strauß, Anja Zernig, Ernesto Lazaro Garcia, Michael Boxleitner, Beatrix Mayr, Isabell Dicillia-Kowatsch, Claudia Anna Dohr
Published in: 2024
Publisher: Zenodo
DOI: 10.5281/zenodo.10715190

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