Artificial Intelligence in Manufacturing leading to Sustainability and Industry5.0

Informazioni relative al progetto

AIMS5.0

ID dell’accordo di sovvenzione: 101112089

DOI

10.3030/101112089

Data della firma CE 10 Maggio 2023

Data di avvio 1 Maggio 2023

Data di completamento 30 Aprile 2026

Finanziato da

• Digital, Industry and Space

Costo totale

€ 70 423 600,24

Contributo UE

€ 17 777 818,48

Coordinato da

INFINEON TECHNOLOGIES AG
Germany

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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

Pubblicazioni

Conference proceedings (20)

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

Autori: G. Schneider, F. Zoghlami, G. Luhn, F. Lindner, S .Keil
Pubblicato in: 22th. European Advanced Process Control and Manufacturing Conference, 2024
Editore: apcm Conference in Hamburg

Data Augmentation Based on Depth Information for Neural Radiance Fields

Autori: Hamed Razavi Khosroshahi, Jaime Sancho, Gun Bang, Gauthier Lafruit, Eduardo Juarez, and Mehrdad Teratani
Pubblicato in: Electronic Imaging Symposium, 2024
Editore: NA

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

Autori: 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
Pubblicato in: NOMS 2024-2024 IEEE Network Operations and Management Symposium, Numero 1, 2024
Editore: IEEE
DOI: 10.1109/NOMS59830.2024.10575125

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

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

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

Autori: F. Lindner, V. Ramadasu, G. Schneider, G. Luhn
Pubblicato in: Euroma Conference, 2024
Editore: Euroma Conference in Barcelona

Grammar-Constrained Decoding Makes Large Language Models Better Logical Parsers

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

Integrating Transport Loads in Production Planning. A Simulation Approach

Autori: V. Betker, M. Kühn, S. Rank, G. Schneider
Pubblicato in: 22th. European Advanced Process Control and Manufacturing Conference in Hamburg, 2024
Editore: APCM

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

Autori: G. Luhn S. Keil G. Schneider F. Lindner G. Reiner
Pubblicato in: 22th. European Advanced Process Control and Manufacturing Conference, 2024
Editore: apcm

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

Autori: Hajo Terbrack, Holger Brandl, Tobias Sprogies, Karlheinz Leonardi
Pubblicato in: apcm conference Hamburg, 2024
Editore: APCM

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

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

Industry 5.0 and Operations Management—the Importance of Human Factors

Autori: Fabian Lindner, Gerald Reiner
Pubblicato in: NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium, 2023, ISSN 2374-9709
Editore: 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

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

A Life Cycle and Enabling Concepts for Green Business Process Management

Autori: Michel Medema, Bogdan Popescu, Vasilios Andrikopoulos, Dimka Karastoyanova
Pubblicato in: 2025 11th International Conference on ICT for Sustainability (ICT4S), 2025
Editore: IEEE
DOI: 10.1109/ICT4S68164.2025.00037

Supporting Energy Management At IFX Using Artifical Intelligence

Autori: F. Zoghlami, N. H. Annacota, M. Ernst, G. Welde, G. Schneider, C. Kögler, M. Wiese
Pubblicato in: Smart Systems Integration Conference in Hamburg, 2024
Editore: SSI

AcME-AD: Accelerated Model Explanations for Anomaly Detection

Autori: Valentina Zaccaria, David Dandolo, Chiara Masiero, Gian Antonio Susto
Pubblicato in: 2nd World Conference on eXplainable Artificial Intelligence, 2024
Editore: NA

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

Autori: Charlotte Lotze, Laurens Borgmann, Holger Brandl, Germar Schneider
Pubblicato in: apcm conference Hamburg, 2024
Editore: APCM

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

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

Experimental Evaluation of Deep Neural Networks for Vehicle Model Identification

Autori: Amira Moualhi, Maryam Nezami, Saleh Mulhem, Georg Schilbach
Pubblicato in: The 22nd European Control Conference (ECC), 2024
Editore: NA

Variability reduction in semiconductor manufacturing using machine learning and explainable AI

Autori: V. Ramadasu, F. Lindner, G. Reiner, G. Schneider, G. Luhn
Pubblicato in: 33rd European Conference on Operational Research in Copenhagen, 2024
Editore: European Conference

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

Autori: V. Ramadasu, F. Lindner, G. Reiner, G. Schneider, F. Lindner, G. Luhn
Pubblicato in: 22th. European Advanced Process Control and Manufacturing Conference, 2024
Editore: apcm

Peer reviewed articles (12)

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

Autori: Natalie Gentner, Gian Antonio Susto
Pubblicato in: Computer & Industrial Engineering, Numero Volume 187, 2024, ISSN 1879-0550
Editore: Elsevier
DOI: 10.1016/j.cie.2023.109821

Constraints

Autori: Michel Medema; Luc Breeman; Alexander Lazovik
Pubblicato in: Constraints, 2024, ISSN 1383-7133
Editore: Kluwer Academic Publishers
DOI: 10.1007/S10601-024-09374-7

A safeness condition for minimal separators based on vertex connectivity

Autori: Michel Medema, Alexander Lazovik
Pubblicato in: Discrete Mathematics, Numero 348, 2025, ISSN 0012-365X
Editore: Elsevier BV
DOI: 10.1016/J.DISC.2025.114524

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

Autori: Michel Medema, Luc Breeman, Alexander Lazovik
Pubblicato in: Constraints, Numero 29, 2024, ISSN 1383-7133
Editore: Springer Science and Business Media LLC
DOI: 10.1007/S10601-024-09374-7

International Journal of Information Security

Autori: Tariq Bontekoe; Dimka Karastoyanova; Fatih Turkmen
Pubblicato in: International Journal of Information Security, 2025, ISSN 1615-5262
Editore: Springer Verlag
DOI: 10.1007/S10207-025-01047-7

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

Autori: A. Mathew, V. Andrikopoulos, F. J. Blaauw, and D. Karastoyanova
Pubblicato in: Future Generation Computer Systems, Numero Volume 154, 2024, ISSN 0167-739X
Editore: Elsevier
DOI: 10.1016/J.FUTURE.2023.12.026

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

Autori: Daniel Sascha Schorn, Lars Mönch
Pubblicato in: IEEE Transactions on Semiconductor Manufacturing, Numero 37(1), 2023, ISSN 1558-2345
Editore: IEEE
DOI: 10.1109/TSM.2023.3326865

CeRULEo: Comprehensive utilitiEs for Remaining Useful Life Estimation methOds

Autori: Luciano Lorenti, Gian Antonio Susto
Pubblicato in: The Journal of Open Source Software, Numero 8(88), 5294, 2023, ISSN 2475-9066
Editore: Open Journals
DOI: 10.21105/joss.05294

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

Autori: """G. Dimirakopoulos, K. Karathanasopoulou, T. Gutt, H. Ehm, A. Lackner, A. Hoess, G. Schneider"""
Pubblicato in: IEEE Industrial Electronics Magazine, 2023, ISSN 2374-9709
Editore: IEEE
DOI: 10.1109/NOMS56928.2023.10154446

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

Autori: M.C.A. van der Pas, A.E. Akçay, R.M. Dijkman, I.J.B.F. Adan
Pubblicato in: Manufacturing Letters, Numero 46, 2025, ISSN 2213-8463
Editore: 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

Autori: Insan-Aleksandr Latipov, Mike Holenderski, Nirvana Meratnia
Pubblicato in: Open Conference Proceedings, Numero 6, 2025, ISSN 2749-5841
Editore: TIB Open Publishing
DOI: 10.52825/OCP.V6I.2895

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

Autori: """G. Dimitrakopoulos, K. Karathanasopoulou, A. Lackner, P. Varga, J. Delsing, M. Tauber, G. Schneider, H. Ehm, T. Gutt, A. Hoess"""
Pubblicato in: IEEE Industrial Electronics Magazine, 2024, ISSN 1932-4529
Editore: 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

Autori: Mitchel M. Ouwerkerk
Pubblicato in: 2025
Editore: Eindhoven University of Technology

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

Autori: Frank Hartman
Pubblicato in: 2024
Editore: NA

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

Autori: Bram Smits
Pubblicato in: 2023
Editore: NA

Interpretable Evaluation of Factual Consistency in Abstractive Summarization

Autori: Daan Hegger
Pubblicato in: 2023
Editore: NA

Other (2)

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

Autori: Corinna Kofler & Isabell Dicillia-Kowatsch
Pubblicato in: 2024
Editore: WiDS Villach

Carinthia dataset

Autori: Corinna Kofler, Sabrina Strauß, Anja Zernig, Ernesto Lazaro Garcia, Michael Boxleitner, Beatrix Mayr, Isabell Dicillia-Kowatsch, Claudia Anna Dohr
Pubblicato in: 2024
Editore: Zenodo
DOI: 10.5281/zenodo.10715190