platform-enabled KITs of arTificial intelligence FOR an easy uptake by SMEs

Projektinformationen

KITT4SME

ID Finanzhilfevereinbarung: 952119

DOI

10.3030/952119

Projekt abgeschlossen

EK-Unterschriftsdatum 3 Juli 2020

Startdatum 1 Oktober 2020

Enddatum 31 März 2024

Finanziert unter

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Gesamtkosten

€ 9 213 270,00

EU-Beitrag

€ 7 999 799,25

Koordiniert durch

SCUOLA UNIVERSITARIA PROFESSIONALE DELLA SVIZZERA ITALIANA
Switzerland

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

Other (11)

Powered By FIWARE Middleware for AI

Solution for IDS-compliant data exchange and persistency dedicated to AI kits.

Open call infrastructure

Web platform for proposal submission, grant preparation, experiment reporting.

RAMP Marketplace intermediate release

A marketplace for composable elements that implements the KITT4SME concept (intermediate release).

Deployment of selected configuration

A tool to support the deployment of the configured kits.

RAMP Marketplace final release

A marketplace for composable elements that implements the KITT4SME concept (final release).

Identity management, secure data exchange solutions

Document illustrating the security solution designed for the platform, implementation of the Identity and Authorisation solution.

Integrated platform: deployment for open calls

Cloud deployment of an instance made available for experiments performed by open call winners with documentation.

Data persistency

Implementation of a persistency solution provided to store data used by platform services.

Integrated platform: deployment for pilots

Document describing the deployment of the platform, cloud deployment of an instance for the validation in WP6.

RAMP Marketplace first release

A marketplace for composable elements that implements the KITT4SME concept (first release).

Digital datasheet for modules characterization

Technical reference for the composition of modules in RAMP.

Documents, reports (34)

Digital shop floor data model and data structures

Data model representation through UML Component Diagram and software implementation.

Improvements and implementation of new features

Report on the pilots evaluation from end users viewpoint and recommendations for the improvement of the KITT4SME platform.

Standardisation activities roadmap

Report on the standardisation activities to be performed during the KITT4SME project as well as strategies to handle possible gaps.

Evaluation report second round release

Report on the open call proposals’ evaluation outcomes (final release).

Collaboration plan with other I4MS projects and DIHs

Document defining a plan of co-operation activities with other projects and initiatives.

Open call statistics infographic second round release

Infographic about the proposal submissions in the open call (final release).

Open call documentation second round release

Call text, Guide for Applicants, Guide for Evaluators, Proposal template (final release).

Evaluation report first round release

Report on the open call proposals’ evaluation outcomes (first release).

Open call outcomes and lessons learnt second round release

Report presenting new components for the marketplace and validation results, aggregated into lessons learnt (final release).

Leveraging the network effect

Map of the network effects and plan to exploit them.

Standardisation activities results

Report on the standardisation activities performed during the project.

AI requirements

Requirements concerning the implementation of AI solutions in the context of SMEs to improve performance

Security and privacy: issues and guidelines

Identification of issues related to data security and privacy and possible countermeasures and implementation guidelines.

Stakeholder analysis

Report on requirements of DIHs and SMEs for the establishment of a fruitful collaboration with the KITT4SME project.

Communication and dissemination strategy and plan

Document defining communication and dissemination strategies along with an implementation plan.

Programme for early adopters

Identification and engagement plan of early adopters of the KITT4SME platform including reward system and validation measures.

KITT4SME reference architecture

Document providing a blueprint of the KITT4SME platform and guidelines for development of interoperable components.

Data models

Document illustrating the data models used by the platform services.

Validation methodology

Commonly agreed plans for validation activities in the pilots

Final communication and dissemination report

Final report containing all the measures taken and achieved results against target KPIs.

Platform report

Lessons learnt on B2B platform usage, architectural approach and implementation, data sovereignty.

Assessment of the ecosystem building process results

End-of-the-project evaluation of the measures taken to engage earlier adopters and to leverage network effects.

Project Handbook and Quality Assurance Plan

Document structured as a handbook describing the project procedures (including role descriptions, reviewing procedures, dissemination procedures, communication matrix, risk management, etc.) and including quality procedures.

Generalised requirements and business processes

Service blueprints and business processes mapped based on BPMN.

Technology trend analysis

Mapping of current and planned R&D showing skills and competencies that manufacturing industries will need in the future.

Open call statistics infographic first round release

Infographic about the proposal submissions in the open call (first release).

Open call outcomes and lessons learnt first round release

Report presenting new components for the marketplace and validation results, aggregated into lessons learnt (first release).

Pilots design

Detailed description of pilots’ scenarios, guiding deployment and validation activities.

DIHs-centred ecosystem building strategy

Description of the KITT4SME digital playfield and strategy to establish an ecosystem fitting into it.

Demonstration pilot methodology

Description of the step-wise methodology for the pilots implementation and validation.

Mid-term communication and dissemination report

Mid-term report containing all the measures taken and achieved results against target KPIs.

Open call documentation first round release

Call text, Guide for Applicants, Guide for Evaluators, Proposal template (first release).

Ecosystem Management Body

Rules and policies for ecosystem building process and coordination actions for internal and external stakeholders.

Digital Platform Adoption Methodology

A methodology for cultural change in SMEs adopting the KITT4SME solution.

Demonstrators, pilots, prototypes (1)

Lighthouse demonstrators for SMEs

Modular demonstrators of the digital solutions offered by the platform.

Open Research Data Pilot (1)

Data management plan

Report that outlines how data are to be handled both during a research project, and after the project is completed

Veröffentlichungen

Peer reviewed articles (17)

Sustainable Green Human Resource Management Practices in Educational Institutions: An Interpretive Structural Modelling and Analytic Hierarchy Process Approach

Autoren: P. Goel, S. Mehta, R. Kumar, F. Castaño
Veröffentlicht in: Sustainability, Ausgabe 19, 2022, ISSN 2071-1050
Herausgeber: MDPI Open Access Publishing
DOI: 10.3390/su141912853

A Horse Herd Optimization Algorithm (HOA)-Based MPPT Technique under Partial and Complex Partial Shading Conditions

Autoren: S. Sawar, M. A. Hafeez, M. Y. Javed, A. B. Asghar, K. Ejsmont
Veröffentlicht in: Energies, Ausgabe 19961073, 2022, ISSN 1996-1073
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/en15051880

A Framework for Human-aware Collaborative Robotics Systems Development

Autoren: E. Montini, V. Cutrona, S. Dell'Oca, G. Landolfi, A. Bettoni, P. Rocco, E. Carpanzano
Veröffentlicht in: Procedia CIRP, Ausgabe 120, 2023, ISSN 2212-8271
Herausgeber: Elsevier
DOI: 10.1016/j.procir.2023.09.129

An AI adoption model for SMEs: a conceptual framework

Autoren: Andrea Bettoni, Davide Matteri, Elias Montini, Bartłomiej Gładysz, Emanuele Carpanzano
Veröffentlicht in: IFAC-PapersOnLine, Ausgabe 54/1, 2021, Seite(n) 702-708, ISSN 2405-8963
Herausgeber: Elsevier
DOI: 10.1016/j.ifacol.2021.08.082

Estimation of the Solid Circulation Rate in Circulating Fluidized Bed System Using Adaptive Neuro-Fuzzy Algorithm

Autoren: A.B. Asghar, S. Farooq, M.S. Khurram, M.H. Jaffery, K. Ejsmont
Veröffentlicht in: Energies, Ausgabe 15, 2022, ISSN 1996-1073
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/en15010211

Platform-based support for AI uptake by SMEs: guidelines to design service bundles

Autoren: B. Gladysz, D. Matteri, K. Ejsmont, D. Corti, A. Bettoni, R. H. Guerra
Veröffentlicht in: Central European Management Journal, 2023, ISSN 2658-0845
Herausgeber: Emerald Publishing Limited
DOI: 10.1108/cemj-08-2022-0096

Towards Sustainability of Manufacturing Processes by Multiobjective Optimization: A Case Study on a Submerged Arc Welding Process

Autoren: Daniel Rivas, Ramon Quiza, Marcelino Rivas, Rodolfo E. Haber
Veröffentlicht in: IEEE Access, Ausgabe 8, 2020, Seite(n) 212904-212916, ISSN 2169-3536
Herausgeber: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2020.3040196

A two-step machine learning approach for dynamic model selection: A case study on a micro milling process

Autoren: Y.J. Cruz, M. Rivas, R. Quiza, R. Haber, F. Castaño, A. Villalongaa
Veröffentlicht in: Computers in Industry, Ausgabe 01663615, 2022, ISSN 0166-3615
Herausgeber: Elsevier BV
DOI: 10.1016/j.compind.2022.103764

Ensemble of convolutional neural networks based on an evolutionary algorithm applied to an industrial welding process

Autoren: Yarens J. Cruz, Marcelino Rivas, Ramón Quiza, Alberto Villalonga, Rodolfo E. Haber, Gerardo Beruvides
Veröffentlicht in: Computers in Industry, Ausgabe 133, 2021, Seite(n) 103530, ISSN 0166-3615
Herausgeber: Elsevier BV
DOI: 10.1016/j.compind.2021.103530

Performance Optimization of a Ten Check MPPT Algorithm for an Off-Grid Solar Photovoltaic System

Autoren: M.M. Afzal Awan, M.Y. Javed, A.B. Asghar, K. Ejsmont
Veröffentlicht in: Energies, Ausgabe 19961073, 2022, ISSN 1996-1073
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/en15062104

A decision-making framework for dynamic scheduling of cyber-physical production systems based on digital twins

Autoren: Alberto Villalonga, Elisa Negri, Giacomo Biscardo, Fernando Castano, Rodolfo E. Haber, Luca Fumagalli, Marco Macchi
Veröffentlicht in: Annual Reviews in Control, 2021, ISSN 1367-5788
Herausgeber: Pergamon Press Ltd.
DOI: 10.1016/j.arcontrol.2021.04.008

Economic Integration of Renewable and Conventional Power Sources—A Case Study

Autoren: M. M. A. Awan, M. Y. Javed, A. B. Asghar, K. Ejsmont, Z. Rehman
Veröffentlicht in: Energies, Ausgabe 15.6, 2022, ISSN 1996-1073
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/en15062141

Digital Datasheet model: enhancing value of AI digital platforms

Autoren: Sara Masiero, Jovista Qosaj, Vincenzo Cutrona
Veröffentlicht in: Procedia Computer Science, Ausgabe 232, 2024, Seite(n) 149-158, ISSN 1877-0509
Herausgeber: Elsevier
DOI: 10.1016/j.procs.2024.01.015

Towards a smart lean green production paradigm to improve operational performance

Autoren: M. Fiorello, B. Gladysz, D. Corti, M. Wybraniak-Kujawa, K. Ejsmont, M. Sorlini
Veröffentlicht in: Journal of Cleaner Production, Ausgabe 413, 2023, ISSN 0959-6526
Herausgeber: Elsevier BV
DOI: 10.1016/j.jclepro.2023.137418

An IIoT Platform For Human-Aware Factory Digital Twins

Autoren: E. Montini, V. Cutrona, N. Bonomi, G. Landolfi, A, Bettoni, P. Rocco, E. Carpanzano
Veröffentlicht in: Procedia CIRP, Ausgabe 107, 2022, ISSN 2212-8271
Herausgeber: Elsevier
DOI: 10.1016/j.procir.2022.05.042

Predictive modelling framework on the basis of artificial neural network: A case of nano-powder mixed electric discharge machining.

Autoren: M. Sana, M..U, Farooq, S. Anwa, R. Haber
Veröffentlicht in: Heliyon, Ausgabe 12, 2023, ISSN 2405-8440
Herausgeber: Elservier
DOI: 10.1016/j.heliyon.2023.e22508

Recurrent neural network for pitch control of variable-speed wind turbine.

Autoren: A. B. Asghar, R. Ehsan, K. Naveed, E.A. Al-Ammar and K. Ejsmont, N. Mirosław
Veröffentlicht in: Science Progress, Ausgabe 107, 2024, ISSN 0036-8504
Herausgeber: Science Reviews Ltd.
DOI: 10.1177/00368504241243160

Conference proceedings (2)

A meta-model for modular composition of tailored human digital twins in production

Autoren: E. Montini, A. Bettoni, M. Ciavotta, E. Carpanzano, P. Pedrazzoli
Veröffentlicht in: 54th CIRP Conference on Manufacturing Systems, 2021
Herausgeber: CIRP

A methodology to select wearable devices for Industry 5.0 applications

Autoren: E. Montini, V. Cutrona, B, Gladysz, S. Dell’Oca, G. Landolfi, A, Bettoni
Veröffentlicht in: Proceedings, Ausgabe 1-4, 2022, ISBN 978-1-6654-9996-5
Herausgeber: IEEE Xplore
DOI: 10.1109/etfa52439.2022.9921627

Book chapters (3)

Multisided Business Model for Platform Offering AI Services

Autoren: Krzysztof Ejsmont, Bartlomiej Gladysz, Natalia Roczon, Andrea Bettoni, Zeki Mert Barut, Rodolfo Haber, Elena Minisci
Veröffentlicht in: Artificial Intelligence in Manufacturing, 2024, Seite(n) 105-120, ISBN 978-3-031-46451-5
Herausgeber: Springer Nature Switzerland
DOI: 10.1007/978-3-031-46452-2_7

Self-Reconfiguration for Smart Manufacturing Based on Artificial Intelligence: A Review and Case Study

Autoren: Yarens J. Cruz, Fernando Castaño, Rodolfo E. Haber, Alberto Villalonga, Krzysztof Ejsmont, Bartlomiej Gladysz, Álvaro Flores, Patricio Alemany
Veröffentlicht in: Artificial Intelligence in Manufacturing, 2024, Seite(n) 121-144, ISBN 978-3-031-46451-5
Herausgeber: Springer Nature Switzerland
DOI: 10.1007/978-3-031-46452-2_8

Architecture of a Software Platform for Affordable Artificial Intelligence in Manufacturing

Autoren: Vincenzo Cutrona, Giuseppe Landolfi, Rubén Alonso, Elias Montini, Andrea Falconi, Andrea Bettoni
Veröffentlicht in: Artificial Intelligence in Manufacturing, 2024, Seite(n) 87-103, ISBN 978-3-031-46451-5
Herausgeber: Springer Nature Switzerland
DOI: 10.1007/978-3-031-46452-2_6

Non-peer reviewed articles (1)

Interoperable software platforms for introducing artificial intelligence components in manufacturing: A meta-framework for security and privacy.

Autoren: R. Alonso, R. E. Haber, F. Castaño, D.R. Recupero
Veröffentlicht in: Heliyon, 2024, ISSN 2405-8440
Herausgeber: Elservier
DOI: 10.1016/j.heliyon.2024.e26446

Other (1)

Artificial Intelligence for Quality Control of manufacturing operations: Macro-mechanical milling in the Pilot Line GAMHE 5.0

Autoren: Rodolfo Haber, Fernando Castaño
Veröffentlicht in: Data set Repository, 2021
Herausgeber: Zenodo
DOI: 10.5281/zenodo.5602977