Data-driven method based on a process mining approach for Automated Digital Twin generation, operations, and maintenance in circular value chains

Informations projet

AUTO-TWIN

N° de convention de subvention: 101092021

DOI

10.3030/101092021

Date de signature de la CE 11 Novembre 2022

Date de début 1 Decembre 2022

Date de fin 30 Novembre 2025

Financé au titre de

• Digital, Industry and Space

Coût total

€ 5 999 986,25

Contribution de l’UE

€ 5 999 986,25

Coordonné par

POLITECNICO DI MILANO
Italy

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 (8)

Data management plan

Data management plan T75

Architecture specification and integration guidelines

Definition of specifications for AUTO-TWIN architecture (T1.3) and reference architecture (T1.4). Definition of the integration guidelines (T1.4).

Data management plan Rev. 1

Data management plan (T7.5). First revision.

Continuous integration and validation report No. 1

Periodic report on continuous integration and validation report (T5.1).

Project report

Project progress report (T7.1,T7.2). Legal and societal framework (T7.4). Project Handbook and quality and risk management plan (T7.3).

Consolidated specifications

Definition and mapping of requirements and KPIs for the use cases definition of databased interactions and needs at the sensornetwork layer Related to T21 T22

Pilot setup report

Demonstration pilot methodology and setup (T5.2) and human-twin management (T5.3) report.

Early solution report

Periodic pilot report (T5.4).

Other (1)

Twin Connectivity

Specifications for communication and implementation of connectivity in legacy systems so that connection field-twin is enabled (T2.1).

Publications

Conference proceedings (13)

Digital Twins: Features, Models, And Services

Auteurs: Andrea Matta, Giovanni Lugaresi
Publié dans: 2023 Winter Simulation Conference (WSC), 2024
Éditeur: IEEE
DOI: 10.1109/WSC60868.2023.10407260

Common challenges for circular manufacturing industries in recycling

Auteurs: Muhammad Ameer, Nicla Frigerio, Andrea Matta
Publié dans: Procedia CIRP, 2024, ISSN 2212-8271
Éditeur: Elsevier
DOI: 10.1016/j.procir.2024.01.093

Production Planning and Allocation of Re-Entrance Flows with Stochastic Quality

Auteurs: Xiaoxiao Shen, Nicla Frigerio, Shi-Chang Du, Andrea Matta
Publié dans: 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE), 2024
Éditeur: IEEE
DOI: 10.1109/CASE59546.2024.10711627

Enabling Object-Centric Process Mining from Time-Series

Auteurs: Abu Sbeit, Abd Alrhman Cavadini, Franco Fahland, Dirk
Publié dans: 5th International Workshop on Event Data and Behavioral Analytics at ICPM 2025 (EdbA), Montevideo, Uruguay, 2025
Éditeur: Springer - currently made OA via Zenodo
DOI: 10.5281/ZENODO.17412426

Green Gateways: a concept for decisions in Circular-Oriented Economies

Auteurs: Nicla Frigerio, Barış Tan, Andrea Matta
Publié dans: Procedia CIRP, 2024, ISSN 2212-8271
Éditeur: Elsevier
DOI: 10.1016/j.procir.2024.01.088

Inferring Missing Entity Identifiers from Context Using Event Knowledge Graphs

Auteurs: Ava Swevels, Remco Dijkman, Dirk Fahland
Publié dans: Lecture Notes in Computer Science, Numéro 14159, 2023
Éditeur: Springer
DOI: 10.1007/978-3-031-41620-0_11

Why are my Pizzas late?

Auteurs: Fahland, Dirk; Fournier, Fabiana; Limonad, Lior; Skarbovsky, Inna; Ava J.E., Swevels
Publié dans: 2nd International Workshop on Process Management in the AI era (PMAI2023), 2023
Éditeur: CEUR
DOI: 10.5281/ZENODO.14258627

Object-Centric Process Mining (and More) Using a Graph-Based Approach With PromG

Auteurs: Ava Swevels, Eva L. Klijn, Dirk Fahland
Publié dans: CEUR Workshop Proceedings, Numéro 3648, 2023, ISSN 1613-0073
Éditeur: CEUR-WS

Machine Learning Based Approximations for Some Production Control Problems with Product Returns and Remanufacturing

Auteurs: Arash GANDOMKAR GHALHAR, Bijan BIBAK, Fikri KARAESMEN, Oktay KARABAG, Barıs¸ TAN
Publié dans: 14th Conference on Stochastic Models of Manufacturing and Service Operations (SMMSO 2024), 2024

Automated Generation of Digital Models for Production Lines Through State Reconstruction

Auteurs: Lulai Zhu, Giovanni Lugaresi, Andrea Matta
Publié dans: Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023, ISSN 2161-8070
Éditeur: IEEE
DOI: 10.1109/CASE56687.2023.10260475

Lecture Notes in Business Information Processing

Auteurs: Fabiana Fournier, Lior Limonad, Inna Skarbovsky
Publié dans: Business Process Management BPM 2024 International Workshops, 2024, ISSN 1865-1348
Éditeur: Springer Verlag
DOI: 10.48550/ARXIV.2406.05506

Implementing Object-Centric Event Data Models in Event Knowledge Graphs

Auteurs: Swevels, A., Fahland, D., Montali, M.
Publié dans: Lecture Notes in Business Information Processing, Numéro 503, 2024
Éditeur: Process Mining Workshops. ICPM 2023
DOI: 10.1007/978-3-031-56107-8_33

Digital twins: features, models, and services

Auteurs: Andrea Matta and Giovanni Lugaresi
Publié dans: Proceedings of the Winter Simuation Conference, 2023, ISSN 1558-4305
Éditeur: IEEE
DOI: 10.1109/wsc60868.2023.10407260

Thesis and dissertations (3)

Designing an Architecture for a Common Data Environment Supporting Digital Twins

Auteurs: Catalin Pop
Publié dans: 2023
Éditeur: Eindhoven University of Technology

Developing a Digital Twin for Discrete Event Processes Using Event Knowledge Graphs and Process Mining Techniques

Auteurs: Abu Sbeit
Publié dans: 2024
Éditeur: Technical University of Eindhoven

Analysis of Resource Working Behaviour and Working Patterns Utilizing High-Level Batch Aggregation

Auteurs: Liliia Aliakberova
Publié dans: 2024
Éditeur: Eindhoven University of Technology

Peer reviewed articles (7)

Data-Driven Energy Modeling of Machining Centers Through Automata Learning

Auteurs: Lestingi, Livia; FRIGERIO, NICLA; BERSANI, MARCELLO M.; MATTA, ANDREA; Rossi, Matteo
Publié dans: IEEE Transactions on Automation Science and Engineering, Numéro 22, 2024, ISSN 1558-3783
Éditeur: ΙΕΕΕ
DOI: 10.1109/TASE.2024.3430394

The WHY in business processes: Discovery of Causal Execution Dependencies

Auteurs: Fournier, Fabiana; Limonad, Lior; Skarbovsky, Inna; David, Yuval
Publié dans: Künstliche Intelligenz, 2025, ISSN 0933-1875
Éditeur: Springer Nature
DOI: 10.1007/S13218-024-00883-4

Production and changeover control of textile and PET recycling

Auteurs: Elias El Achkar, Nicla Frigerio
Publié dans: Journal of Cleaner Production, Numéro 474, 2024, ISSN 0959-6526
Éditeur: Elsevier BV
DOI: 10.1016/J.JCLEPRO.2024.143609

The digital twin synchronization problem: Framework, formulations, and analysis

Auteurs: Baris Tan and Andrea Matta
Publié dans: IISE Transactions, Numéro 56, 2024, ISSN 2472-5854
Éditeur: Taylor and Francis
DOI: 10.1080/24725854.2023.2253869

Purchasing and remanufacturing decisions with different quality returned material and finished goods

Auteurs: Oktay Karabağ, Fikri Karaesmen, Barış Tan
Publié dans: International Journal of Production Research, Numéro 63, 2025, ISSN 0020-7543
Éditeur: Informa UK Limited
DOI: 10.1080/00207543.2025.2451419

How well can a large language model explain business processes as perceived by users?

Auteurs: Dirk Fahland, Fabiana Fournier, Lior Limonad, Inna Skarbovsky, Ava J.E. Swevels
Publié dans: Data & Knowledge Engineering, Numéro 157, 2025, ISSN 0169-023X
Éditeur: Elsevier BV
DOI: 10.1016/J.DATAK.2025.102416

Optimizing production and remanufacturing decisions for make-to-stock hybrid manufacturing systems using real-time information on products in use

Auteurs: Oktay Karabağ, Fikri Karaesmen, Barış Tan
Publié dans: International Journal of Production Research, 2025, ISSN 0020-7543
Éditeur: Informa UK Limited
DOI: 10.1080/00207543.2025.2559141

Other (1)

Towards a Benchmark for Causal Business Process Reasoning with LLMs

Auteurs: Fournier, Fabiana; Limonad, Lior; Skarbovsky, Inna
Publié dans: 2024
DOI: 10.5281/ZENODO.15543495

Book chapters (1)

Data Collection and Management for Digital Twins

Auteurs: Giovanni Lugaresi, Lulai Zhu, Andrea Matta
Publié dans: Handbook on Digital Twin and Artificial Intelligence Techniques for Rail Applications, 2025, ISBN 9781003492146
Éditeur: CRC Press
DOI: 10.1201/9781003492146-3