Digital Intelligent MOdular FACtories

Informazioni relative al progetto

DIMOFAC

ID dell’accordo di sovvenzione: 870092

DOI 10.3030/870092

Progetto chiuso

Data della firma CE 22 Agosto 2019

Data di avvio 1 Ottobre 2019

Data di completamento 31 Marzo 2024

Finanziato da

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Advanced manufacturing and processing

Costo totale € 19 133 232,49

Contributo UE € 14 163 497,63

Coordinato da

COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
France

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 (19)

Metrics assessment and pilots benchmarking
M53 Standardization strategy and report (SR)

M48 Standardization strategy and report (SR)

M40 Training plan report (TR)
M36 Dissemination and Communication Plan (D&CP)

M36 Dissemination and Communication Plan DCP

M24 Dissemination and Communication Plan (D&CP)

M24 Dissemination and Communication Plan DCP

M53 Training plan report (TR)

M48 Training plan report (TR)

M53 Dissemination and Communication Plan (D&CP)

M48 Dissemination and Communication Plan (D&CP)

Guidelines for social-economic innovation
Network of 11 Open Pilots Lines Report
Assessment report on DIMOFAC impact on industrial pilot lines
M36 Standardization strategy and report (SR)

M36 Standardization strategy and report SR

M6 Dissemination and Communication Plan (D&CP)
Portfolio of plug and produce modules
M36 Project Technical Progress Report
Guidelines for industrial showrooms & lighthouses factories
M24 Project Technical Progress Report
M12 Project Technical Progress Report
Modules pre-industrial scale deployment and testing

Modules preindustrial scale deployment and testing

M48 Project Technical Progress Report

Other (3)

Module hardware and software interfaces
Expression of interest (EOI) call
Network of industrial showrooms & lighthouses factories

Open Research Data Pilot (3)

M53 Data Management Plan (DMP)

M48 Data Management Plan (DMP)

M24 Data Management Plan (DMP)

M24 Data Management Plan DMP

M6 Data Management Plan (DMP)

Pubblicazioni

Conference proceedings (5)

An OPC UA Model of the Skill Execution Interaction Protocol for the Active Asset Administration Shell

Autori: Aleksandr Sidorenko, Magnus Volkmann, William Motsch, Achim Wagner, Martin Ruskowski
Pubblicato in: Procedia Manufacturing, Numero 23519789, 2021, Pagina/e 191-199, ISSN 2351-9789
Editore: Elsevier
DOI: 10.1016/j.promfg.2021.10.027

Using Behavior Trees for Coordination of Skills in Modular Reconfigurable CPPMs

Autori: Sidorenko, Aleksandr, Jesko Hermann, and Martin Ruskowski
Pubblicato in: IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), Numero 06-09 September 2022, 2022, Pagina/e 1-8, ISBN 978-1-6654-9997-2
Editore: IEEE
DOI: 10.1109/etfa52439.2022.9921558

Integrating AR based operator support features for reconfigurable production systems

Autori: Angelos Christos Bavelos, Dimosthenis Dimosthenopoulos, Thodoris Togias, Niki Kousi, Sotiris Makris,
Pubblicato in: Procedia CIRP, Numero 22128271, 2022, Pagina/e Pages 276-281, ISSN 2212-8271
Editore: Elsevier
DOI: 10.1016/j.procir.2022.02.191

Towards a Comprehensive Methodology for Modelling Submodels in the Industry 4.0 Asset Administration Shell

Autori: Cornelis Bouter; Monireh Pourjafarian; Leon Simar; Robert Wilterdink
Pubblicato in: 2021 IEEE 23rd Conference on Business Informatics (CBI), 2021, Pagina/e pp. 10-19, ISBN 978-1-6654-2069-3
Editore: IEEE
DOI: 10.1109/cbi52690.2021.10050

A Library to Simulate Processes in the Factory Hall

Autori: Julia Gundermann, Torsten Blochwitz
Pubblicato in: Proceedings of the 15th International Modelica Conference 2023,, Numero October 9-11 2023, 2023, Pagina/e 357-374, ISBN 978-91-8075-505-4
Editore: Dirk Müller, Antonello Monti, and Andrea Benigni
DOI: 10.3384/ecp204357

Peer reviewed articles (2)

An adaptive, artificial intelligence-based chatter detection method for milling operations

Autori: Panagiotis Stavropoulos, Thanassis Souflas, Christos Papaioannou, Harry Bikas & Dimitris Mourtzis
Pubblicato in: The International Journal of Advanced Manufacturing Technology, Numero 02683768, 2022, ISSN 0268-3768
Editore: Springer Verlag
DOI: 10.1007/s00170-022-09920-8

Architecture for Data Acquisition in Research and Teaching Laboratories

Autori: Walter Quadrini, Simone Galparoli, Domenico Daniele Nucera, Luca Fumagalli, Elisa Negri
Pubblicato in: Procedia Computer Science, Numero 18770509, 2021, Pagina/e Pages 833-842, ISSN 1877-0509
Editore: Elsevier
DOI: 10.1016/j.procs.2021.01.333

Other (1)

Representing the Virtual: Using AAS to Expose DigitalAssets

Autori: Coen van Leeuwen, Cornelis Bouter, Rick Hindriks, & Robert Wilterdink
Pubblicato in: 2022
Editore: Zenodo
DOI: 10.5281/zenodo.6646540