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 (13)

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

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

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

Enabling Object-Centric Process Mining from Time-Series

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

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

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

Autori: Ava Swevels, Eva L. Klijn, Dirk Fahland
Pubblicato in: CEUR Workshop Proceedings, Numero 3648, 2023, ISSN 1613-0073
Editore: CEUR-WS

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

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

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

Thesis and dissertations (3)

Designing an Architecture for a Common Data Environment Supporting Digital Twins

Autori: Catalin Pop
Pubblicato in: 2023
Editore: Eindhoven University of Technology

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

Autori: Abu Sbeit
Pubblicato in: 2024
Editore: Technical University of Eindhoven

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

Autori: Liliia Aliakberova
Pubblicato in: 2024
Editore: Eindhoven University of Technology

Peer reviewed articles (7)

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

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

Autori: Oktay Karabağ, Fikri Karaesmen, Barış Tan
Pubblicato in: International Journal of Production Research, Numero 63, 2025, ISSN 0020-7543
Editore: Informa UK Limited
DOI: 10.1080/00207543.2025.2451419

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

Autori: Dirk Fahland, Fabiana Fournier, Lior Limonad, Inna Skarbovsky, Ava J.E. Swevels
Pubblicato in: Data & Knowledge Engineering, Numero 157, 2025, ISSN 0169-023X
Editore: 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

Autori: Oktay Karabağ, Fikri Karaesmen, Barış Tan
Pubblicato in: International Journal of Production Research, 2025, ISSN 0020-7543
Editore: Informa UK Limited
DOI: 10.1080/00207543.2025.2559141

Other (1)

Towards a Benchmark for Causal Business Process Reasoning with LLMs

Autori: Fournier, Fabiana; Limonad, Lior; Skarbovsky, Inna
Pubblicato in: 2024
DOI: 10.5281/ZENODO.15543495

Book chapters (1)

Data Collection and Management for Digital Twins

Autori: Giovanni Lugaresi, Lulai Zhu, Andrea Matta
Pubblicato in: Handbook on Digital Twin and Artificial Intelligence Techniques for Rail Applications, 2025, ISBN 9781003492146
Editore: CRC Press
DOI: 10.1201/9781003492146-3