Artificial Intelligence in Manufacturing leading to Sustainability and Industry5.0

Informations projet

AIMS5.0

N° de convention de subvention: 101112089

DOI

10.3030/101112089

Date de signature de la CE 10 Mai 2023

Date de début 1 Mai 2023

Date de fin 30 Avril 2026

Financé au titre de

• Digital, Industry and Space

Coût total

€ 70 423 600,24

Contribution de l’UE

€ 17 777 818,48

Coordonné par

INFINEON TECHNOLOGIES AG
Germany

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Documents, reports (6)

Preliminary micro service requirements and first architecture concepts

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
Development and refinement plans for AI tools methods and algorithms

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

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

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

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

Conference proceedings (18)

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

Auteurs: G. Schneider, F. Zoghlami, G. Luhn, F. Lindner, S .Keil
Publié dans: 22th. European Advanced Process Control and Manufacturing Conference, 2024
Éditeur: apcm Conference in Hamburg

Data Augmentation Based on Depth Information for Neural Radiance Fields

Auteurs: Hamed Razavi Khosroshahi, Jaime Sancho, Gun Bang, Gauthier Lafruit, Eduardo Juarez, and Mehrdad Teratani
Publié dans: Electronic Imaging Symposium, 2024
Éditeur: NA

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

Auteurs: 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
Publié dans: NOMS 2024-2024 IEEE Network Operations and Management Symposium, Numéro 1, 2024
Éditeur: IEEE
DOI: 10.1109/NOMS59830.2024.10575125

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

Auteurs: V. Zaccaria, D. Dandolo, C. Masiero, G.A. Susto
Publié dans: 10th IEEE International Conference on Control, Decision and Information Technologies, (IEEE CODIT), 2024
Éditeur: NA

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

Auteurs: F. Lindner, V. Ramadasu, G. Schneider, G. Luhn
Publié dans: Euroma Conference, 2024
Éditeur: Euroma Conference in Barcelona

Integrating Transport Loads in Production Planning. A Simulation Approach

Auteurs: V. Betker, M. Kühn, S. Rank, G. Schneider
Publié dans: 22th. European Advanced Process Control and Manufacturing Conference in Hamburg, 2024
Éditeur: APCM

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

Auteurs: G. Luhn S. Keil G. Schneider F. Lindner G. Reiner
Publié dans: 22th. European Advanced Process Control and Manufacturing Conference, 2024
Éditeur: apcm

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

Auteurs: Hajo Terbrack, Holger Brandl, Tobias Sprogies, Karlheinz Leonardi
Publié dans: apcm conference Hamburg, 2024
Éditeur: APCM

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

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

Industry 5.0 and Operations Management—the Importance of Human Factors

Auteurs: Fabian Lindner, Gerald Reiner
Publié dans: NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium, 2023, ISSN 2374-9709
Éditeur: 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

Auteurs: Cas Rosman, Eric Weijers, Kai Schelthoff, Willem van Jaarsveld, Alp Akcay, Ivo Adan
Publié dans: 2024 Winter Simulation Conference (WSC), 2025
Éditeur: IEEE
DOI: 10.1109/WSC63780.2024.10838984

Supporting Energy Management At IFX Using Artifical Intelligence

Auteurs: F. Zoghlami, N. H. Annacota, M. Ernst, G. Welde, G. Schneider, C. Kögler, M. Wiese
Publié dans: Smart Systems Integration Conference in Hamburg, 2024
Éditeur: SSI

AcME-AD: Accelerated Model Explanations for Anomaly Detection

Auteurs: Valentina Zaccaria, David Dandolo, Chiara Masiero, Gian Antonio Susto
Publié dans: 2nd World Conference on eXplainable Artificial Intelligence, 2024
Éditeur: NA

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

Auteurs: Charlotte Lotze, Laurens Borgmann, Holger Brandl, Germar Schneider
Publié dans: apcm conference Hamburg, 2024
Éditeur: APCM

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

Auteurs: Kenneth J. Braakman, D. Martin Knotter, Alp Akcay, Ivo Adan
Publié dans: 2024 Winter Simulation Conference (WSC), 2025
Éditeur: IEEE
DOI: 10.1109/WSC63780.2024.10838790

Experimental Evaluation of Deep Neural Networks for Vehicle Model Identification

Auteurs: Amira Moualhi, Maryam Nezami, Saleh Mulhem, Georg Schilbach
Publié dans: The 22nd European Control Conference (ECC), 2024
Éditeur: NA

Variability reduction in semiconductor manufacturing using machine learning and explainable AI

Auteurs: V. Ramadasu, F. Lindner, G. Reiner, G. Schneider, G. Luhn
Publié dans: 33rd European Conference on Operational Research in Copenhagen, 2024
Éditeur: European Conference

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

Auteurs: V. Ramadasu, F. Lindner, G. Reiner, G. Schneider, F. Lindner, G. Luhn
Publié dans: 22th. European Advanced Process Control and Manufacturing Conference, 2024
Éditeur: apcm

Peer reviewed articles (6)

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

Auteurs: Natalie Gentner, Gian Antonio Susto
Publié dans: Computer & Industrial Engineering, Numéro Volume 187, 2024, ISSN 1879-0550
Éditeur: Elsevier
DOI: 10.1016/j.cie.2023.109821

Future Generation Computer Systems

Auteurs: A. Mathew, V. Andrikopoulos, F. J. Blaauw, and D. Karastoyanova
Publié dans: Future Generation Computer Systems, Numéro Volume 154, 2024, ISSN 0167-739X
Éditeur: Elsevier
DOI: 10.1016/j.future.2023.12.026

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

Auteurs: Daniel Sascha Schorn, Lars Mönch
Publié dans: IEEE Transactions on Semiconductor Manufacturing, Numéro 37(1), 2023, ISSN 1558-2345
Éditeur: IEEE
DOI: 10.1109/TSM.2023.3326865

CeRULEo: Comprehensive utilitiEs for Remaining Useful Life Estimation methOds

Auteurs: Luciano Lorenti, Gian Antonio Susto
Publié dans: The Journal of Open Source Software, Numéro 8(88), 5294, 2023, ISSN 2475-9066
Éditeur: Open Journals
DOI: 10.21105/joss.05294

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

Auteurs: """G. Dimirakopoulos, K. Karathanasopoulou, T. Gutt, H. Ehm, A. Lackner, A. Hoess, G. Schneider"""
Publié dans: IEEE Industrial Electronics Magazine, 2023, ISSN 2374-9709
Éditeur: IEEE
DOI: 10.1109/NOMS56928.2023.10154446

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

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

Thesis and dissertations (3)

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

Auteurs: Frank Hartman
Publié dans: 2024
Éditeur: NA

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

Auteurs: Bram Smits
Publié dans: 2023
Éditeur: NA

Interpretable Evaluation of Factual Consistency in Abstractive Summarization

Auteurs: Daan Hegger
Publié dans: 2023
Éditeur: NA

Other (2)

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

Auteurs: Corinna Kofler & Isabell Dicillia-Kowatsch
Publié dans: 2024
Éditeur: WiDS Villach

Carinthia dataset

Auteurs: Corinna Kofler, Sabrina Strauß, Anja Zernig, Ernesto Lazaro Garcia, Michael Boxleitner, Beatrix Mayr, Isabell Dicillia-Kowatsch, Claudia Anna Dohr
Publié dans: 2024
Éditeur: Zenodo
DOI: 10.5281/zenodo.10715190