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

Informazioni relative al progetto

AUTO-TWIN

ID dell’accordo di sovvenzione: 101092021

DOI

10.3030/101092021

Data della firma CE 11 Novembre 2022

Data di avvio 1 Dicembre 2022

Data di completamento 30 Novembre 2025

Finanziato da

• Digital, Industry and Space

Costo totale

€ 5 999 986,25

Contributo UE

€ 5 999 986,25

Coordinato da

POLITECNICO DI MILANO
Italy

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 (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).

Pubblicazioni

Conference proceedings (9)

Digital Twins: Features, Models, And Services

Autori: Andrea Matta, Giovanni Lugaresi
Pubblicato in: 2023 Winter Simulation Conference (WSC), 2024
Editore: IEEE
DOI: 10.1109/WSC60868.2023.10407260

Common challenges for circular manufacturing industries in recycling

Autori: Muhammad Ameer, Nicla Frigerio, Andrea Matta
Pubblicato in: Procedia CIRP, 2024, ISSN 2212-8271
Editore: Elsevier
DOI: 10.1016/j.procir.2024.01.093

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

Autori: Nicla Frigerio, Barış Tan, Andrea Matta
Pubblicato in: Procedia CIRP, 2024, ISSN 2212-8271
Editore: Elsevier
DOI: 10.1016/j.procir.2024.01.088

Inferring Missing Entity Identifiers from Context Using Event Knowledge Graphs

Autori: Ava Swevels, Remco Dijkman, Dirk Fahland
Pubblicato in: Lecture Notes in Computer Science, Numero 14159, 2023
Editore: Springer
DOI: 10.1007/978-3-031-41620-0_11

Why are my Pizzas late?

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

Automated Generation of Digital Models for Production Lines Through State Reconstruction

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

Lecture Notes in Business Information Processing

Autori: Fabiana Fournier, Lior Limonad, Inna Skarbovsky
Pubblicato in: Business Process Management BPM 2024 International Workshops, 2024, ISSN 1865-1348
Editore: Springer Verlag
DOI: 10.48550/ARXIV.2406.05506

Implementing Object-Centric Event Data Models in Event Knowledge Graphs

Autori: Swevels, A., Fahland, D., Montali, M.
Pubblicato in: Lecture Notes in Business Information Processing, Numero 503, 2024
Editore: Process Mining Workshops. ICPM 2023
DOI: 10.1007/978-3-031-56107-8_33

Digital twins: features, models, and services

Autori: Andrea Matta and Giovanni Lugaresi
Pubblicato in: Proceedings of the Winter Simuation Conference, 2023, ISSN 1558-4305
Editore: IEEE
DOI: 10.1109/wsc60868.2023.10407260

Peer reviewed articles (4)

Data-Driven Energy Modeling of Machining Centers Through Automata Learning

Autori: Lestingi, Livia; FRIGERIO, NICLA; BERSANI, MARCELLO M.; MATTA, ANDREA; Rossi, Matteo
Pubblicato in: IEEE Transactions on Automation Science and Engineering, Numero 22, 2024, ISSN 1558-3783
Editore: ΙΕΕΕ
DOI: 10.1109/TASE.2024.3430394

The WHY in business processes: Discovery of Causal Execution Dependencies

Autori: Fournier, Fabiana; Limonad, Lior; Skarbovsky, Inna; David, Yuval
Pubblicato in: Künstliche Intelligenz, 2025, ISSN 0933-1875
Editore: Springer Nature
DOI: 10.1007/S13218-024-00883-4

Production and changeover control of textile and PET recycling

Autori: Elias El Achkar, Nicla Frigerio
Pubblicato in: Journal of Cleaner Production, Numero 474, 2024, ISSN 0959-6526
Editore: Elsevier BV
DOI: 10.1016/J.JCLEPRO.2024.143609

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

Autori: Baris Tan and Andrea Matta
Pubblicato in: IISE Transactions, Numero 56, 2024, ISSN 2472-5854
Editore: Taylor and Francis
DOI: 10.1080/24725854.2023.2253869