Artificial Intelligence in Manufacturing leading to Sustainability and Industry5.0

Información del proyecto

AIMS5.0

Identificador del acuerdo de subvención: 101112089

DOI

10.3030/101112089

Fecha de la firma de la CE 10 Mayo 2023

Fecha de inicio 1 Mayo 2023

Fecha de finalización 30 Abril 2026

Financiado con arreglo a

• Digital, Industry and Space

Coste total

€ 70 423 600,24

Aportación de la UE

€ 17 777 818,48

Coordinado por

INFINEON TECHNOLOGIES AG
Germany

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Documents, reports (3)

Final micro service architecture requirements and architecture realization

Detailed descriptions of requirements from use cases and requirements to address WP3 objectives with concrete proposals for addressing the requirements based on the Eclipse Arrowhead architecture and its implementation platform and which extensions that so far has been addressed.

Reports on updated Digital Reference 3

This will cover the remaining classes and characteristics missing to come up with a complete ontology allowing to generate computer based efficiently the CO2 balance (DR).

Guidelines incl. checklist and self-assessment of how to ap-ply AI in the European industry

Publicaciones

Conference proceedings (20)

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

Autores: G. Schneider, F. Zoghlami, G. Luhn, F. Lindner, S .Keil
Publicado en: 22th. European Advanced Process Control and Manufacturing Conference, 2024
Editor: apcm Conference in Hamburg

Data Augmentation Based on Depth Information for Neural Radiance Fields

Autores: Hamed Razavi Khosroshahi, Jaime Sancho, Gun Bang, Gauthier Lafruit, Eduardo Juarez, and Mehrdad Teratani
Publicado en: Electronic Imaging Symposium, 2024
Editor: NA

A Self-assessment Tool to Encourage the Uptake of Artificial Intelligence in Digital Workspaces

Autores: 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
Publicado en: NOMS 2024-2024 IEEE Network Operations and Management Symposium, Edición 1, 2024
Editor: IEEE
DOI: 10.1109/NOMS59830.2024.10575125

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

Autores: V. Zaccaria, D. Dandolo, C. Masiero, G.A. Susto
Publicado en: 10th IEEE International Conference on Control, Decision and Information Technologies, (IEEE CODIT), 2024
Editor: NA

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

Autores: F. Lindner, V. Ramadasu, G. Schneider, G. Luhn
Publicado en: Euroma Conference, 2024
Editor: Euroma Conference in Barcelona

Grammar-Constrained Decoding Makes Large Language Models Better Logical Parsers

Autores: Federico Raspanti, Tanir Ozcelebi, Mike Holenderski
Publicado en: Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), 2025
Editor: Association for Computational Linguistics
DOI: 10.18653/V1/2025.ACL-INDUSTRY.34

Integrating Transport Loads in Production Planning. A Simulation Approach

Autores: V. Betker, M. Kühn, S. Rank, G. Schneider
Publicado en: 22th. European Advanced Process Control and Manufacturing Conference in Hamburg, 2024
Editor: APCM

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

Autores: G. Luhn S. Keil G. Schneider F. Lindner G. Reiner
Publicado en: 22th. European Advanced Process Control and Manufacturing Conference, 2024
Editor: apcm

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

Autores: Hajo Terbrack, Holger Brandl, Tobias Sprogies, Karlheinz Leonardi
Publicado en: apcm conference Hamburg, 2024
Editor: APCM

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

Autores: F. Boni, R. De Monte, Y. Yang, N. Gentner, J. K. Low, G. A. Susto
Publicado en: 10th IEEE International Conference on Control, Decision and Information Technologies, (IEEE CODIT), 2024
Editor: NA

Industry 5.0 and Operations Management—the Importance of Human Factors

Autores: Fabian Lindner, Gerald Reiner
Publicado en: NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium, 2023, ISSN 2374-9709
Editor: 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

Autores: Cas Rosman, Eric Weijers, Kai Schelthoff, Willem van Jaarsveld, Alp Akcay, Ivo Adan
Publicado en: 2024 Winter Simulation Conference (WSC), 2025
Editor: IEEE
DOI: 10.1109/WSC63780.2024.10838984

A Life Cycle and Enabling Concepts for Green Business Process Management

Autores: Michel Medema, Bogdan Popescu, Vasilios Andrikopoulos, Dimka Karastoyanova
Publicado en: 2025 11th International Conference on ICT for Sustainability (ICT4S), 2025
Editor: IEEE
DOI: 10.1109/ICT4S68164.2025.00037

Supporting Energy Management At IFX Using Artifical Intelligence

Autores: F. Zoghlami, N. H. Annacota, M. Ernst, G. Welde, G. Schneider, C. Kögler, M. Wiese
Publicado en: Smart Systems Integration Conference in Hamburg, 2024
Editor: SSI

AcME-AD: Accelerated Model Explanations for Anomaly Detection

Autores: Valentina Zaccaria, David Dandolo, Chiara Masiero, Gian Antonio Susto
Publicado en: 2nd World Conference on eXplainable Artificial Intelligence, 2024
Editor: NA

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

Autores: Charlotte Lotze, Laurens Borgmann, Holger Brandl, Germar Schneider
Publicado en: apcm conference Hamburg, 2024
Editor: APCM

Leveraging Machine Signals for Device-Level Quality Detection and Automatic Root Cause Analysis in Semiconductor Wire Bonding

Autores: Kenneth J. Braakman, D. Martin Knotter, Alp Akcay, Ivo Adan
Publicado en: 2024 Winter Simulation Conference (WSC), 2025
Editor: IEEE
DOI: 10.1109/WSC63780.2024.10838790

Experimental Evaluation of Deep Neural Networks for Vehicle Model Identification

Autores: Amira Moualhi, Maryam Nezami, Saleh Mulhem, Georg Schilbach
Publicado en: The 22nd European Control Conference (ECC), 2024
Editor: NA

Variability reduction in semiconductor manufacturing using machine learning and explainable AI

Autores: V. Ramadasu, F. Lindner, G. Reiner, G. Schneider, G. Luhn
Publicado en: 33rd European Conference on Operational Research in Copenhagen, 2024
Editor: European Conference

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

Autores: V. Ramadasu, F. Lindner, G. Reiner, G. Schneider, F. Lindner, G. Luhn
Publicado en: 22th. European Advanced Process Control and Manufacturing Conference, 2024
Editor: apcm

Peer reviewed articles (12)

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

Autores: Natalie Gentner, Gian Antonio Susto
Publicado en: Computer & Industrial Engineering, Edición Volume 187, 2024, ISSN 1879-0550
Editor: Elsevier
DOI: 10.1016/j.cie.2023.109821

Constraints

Autores: Michel Medema; Luc Breeman; Alexander Lazovik
Publicado en: Constraints, 2024, ISSN 1383-7133
Editor: Kluwer Academic Publishers
DOI: 10.1007/S10601-024-09374-7

A safeness condition for minimal separators based on vertex connectivity

Autores: Michel Medema, Alexander Lazovik
Publicado en: Discrete Mathematics, Edición 348, 2025, ISSN 0012-365X
Editor: Elsevier BV
DOI: 10.1016/J.DISC.2025.114524

Limiting the memory consumption of caching for detecting subproblem dominance in constraint problems

Autores: Michel Medema, Luc Breeman, Alexander Lazovik
Publicado en: Constraints, Edición 29, 2024, ISSN 1383-7133
Editor: Springer Science and Business Media LLC
DOI: 10.1007/S10601-024-09374-7

International Journal of Information Security

Autores: Tariq Bontekoe; Dimka Karastoyanova; Fatih Turkmen
Publicado en: International Journal of Information Security, 2025, ISSN 1615-5262
Editor: Springer Verlag
DOI: 10.1007/S10207-025-01047-7

Pattern-based serverless data processing pipelines for Function-as-a-Service orchestration systems

Autores: A. Mathew, V. Andrikopoulos, F. J. Blaauw, and D. Karastoyanova
Publicado en: Future Generation Computer Systems, Edición Volume 154, 2024, ISSN 0167-739X
Editor: Elsevier
DOI: 10.1016/J.FUTURE.2023.12.026

Learning Priority Indices for Energy-Aware Scheduling of Jobs on Batch Processing Machines.

Autores: Daniel Sascha Schorn, Lars Mönch
Publicado en: IEEE Transactions on Semiconductor Manufacturing, Edición 37(1), 2023, ISSN 1558-2345
Editor: IEEE
DOI: 10.1109/TSM.2023.3326865

CeRULEo: Comprehensive utilitiEs for Remaining Useful Life Estimation methOds

Autores: Luciano Lorenti, Gian Antonio Susto
Publicado en: The Journal of Open Source Software, Edición 8(88), 5294, 2023, ISSN 2475-9066
Editor: Open Journals
DOI: 10.21105/joss.05294

On the Way to Realize the 5th Industrial Revolution: Achievements, Challenges and Research Areas

Autores: """G. Dimirakopoulos, K. Karathanasopoulou, T. Gutt, H. Ehm, A. Lackner, A. Hoess, G. Schneider"""
Publicado en: IEEE Industrial Electronics Magazine, 2023, ISSN 2374-9709
Editor: IEEE
DOI: 10.1109/NOMS56928.2023.10154446

Combining case-based reasoning and process mining for root cause analysis in complex manufacturing environments

Autores: M.C.A. van der Pas, A.E. Akçay, R.M. Dijkman, I.J.B.F. Adan
Publicado en: Manufacturing Letters, Edición 46, 2025, ISSN 2213-8463
Editor: Elsevier BV
DOI: 10.1016/J.MFGLET.2025.11.010

IRIS at LLMs4OL 2025 Tasks B, C and D: Enhancing Ontology Learning Through Data Enrichment and Type Filtering

Autores: Insan-Aleksandr Latipov, Mike Holenderski, Nirvana Meratnia
Publicado en: Open Conference Proceedings, Edición 6, 2025, ISSN 2749-5841
Editor: TIB Open Publishing
DOI: 10.52825/OCP.V6I.2895

Industry 5.0: Research Areas and Challenges With Artificial Intelligence and Human Acceptance

Autores: """G. Dimitrakopoulos, K. Karathanasopoulou, A. Lackner, P. Varga, J. Delsing, M. Tauber, G. Schneider, H. Ehm, T. Gutt, A. Hoess"""
Publicado en: IEEE Industrial Electronics Magazine, 2024, ISSN 1932-4529
Editor: IEEE
DOI: 10.1109/MIE.2024.3387068

Thesis and dissertations (4)

Root Cause Analysis in a Framework on Multi-Agent Systems in a Manufacturing Process

Autores: Mitchel M. Ouwerkerk
Publicado en: 2025
Editor: Eindhoven University of Technology

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

Autores: Frank Hartman
Publicado en: 2024
Editor: NA

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

Autores: Bram Smits
Publicado en: 2023
Editor: NA

Interpretable Evaluation of Factual Consistency in Abstractive Summarization

Autores: Daan Hegger
Publicado en: 2023
Editor: NA

Other (2)

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

Autores: Corinna Kofler & Isabell Dicillia-Kowatsch
Publicado en: 2024
Editor: WiDS Villach

Carinthia dataset

Autores: Corinna Kofler, Sabrina Strauß, Anja Zernig, Ernesto Lazaro Garcia, Michael Boxleitner, Beatrix Mayr, Isabell Dicillia-Kowatsch, Claudia Anna Dohr
Publicado en: 2024
Editor: Zenodo
DOI: 10.5281/zenodo.10715190