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

Risultati finali

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

Digital shop floor data model and data structures

Data model representation through UML Component Diagram and software implementation.

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).

Leveraging the network effect

Map of the network effects and plan to exploit them.

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

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).

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.

Data management plan

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

Pubblicazioni

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

Autori: P. Goel, S. Mehta, R. Kumar, F. Castaño
Pubblicato in: Sustainability, Numero 19, 2022, ISSN 2071-1050
Editore: MDPI Open Access Publishing
DOI: 10.3390/su141912853

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

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

A Framework for Human-aware Collaborative Robotics Systems Development

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

An AI adoption model for SMEs: a conceptual framework

Autori: Andrea Bettoni, Davide Matteri, Elias Montini, Bartłomiej Gładysz, Emanuele Carpanzano
Pubblicato in: IFAC-PapersOnLine, Numero 54/1, 2021, Pagina/e 702-708, ISSN 2405-8963
Editore: 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

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

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

Autori: B. Gladysz, D. Matteri, K. Ejsmont, D. Corti, A. Bettoni, R. H. Guerra
Pubblicato in: Central European Management Journal, 2023, ISSN 2658-0845
Editore: 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

Autori: Daniel Rivas, Ramon Quiza, Marcelino Rivas, Rodolfo E. Haber
Pubblicato in: IEEE Access, Numero 8, 2020, Pagina/e 212904-212916, ISSN 2169-3536
Editore: 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

Autori: Y.J. Cruz, M. Rivas, R. Quiza, R. Haber, F. Castaño, A. Villalongaa
Pubblicato in: Computers in Industry, Numero 01663615, 2022, ISSN 0166-3615
Editore: 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

Autori: Yarens J. Cruz, Marcelino Rivas, Ramón Quiza, Alberto Villalonga, Rodolfo E. Haber, Gerardo Beruvides
Pubblicato in: Computers in Industry, Numero 133, 2021, Pagina/e 103530, ISSN 0166-3615
Editore: Elsevier BV
DOI: 10.1016/j.compind.2021.103530

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

Autori: M.M. Afzal Awan, M.Y. Javed, A.B. Asghar, K. Ejsmont
Pubblicato in: Energies, Numero 19961073, 2022, ISSN 1996-1073
Editore: 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

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

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

Autori: M. M. A. Awan, M. Y. Javed, A. B. Asghar, K. Ejsmont, Z. Rehman
Pubblicato in: Energies, Numero 19961073, 2022, ISSN 1996-1073
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/en15062141

Towards a smart lean green production paradigm to improve operational performance

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

An IIoT Platform For Human-Aware Factory Digital Twins

Autori: E. Montini, V. Cutrona, N. Bonomi, G. Landolfi, A, Bettoni, P. Rocco, E. Carpanzano
Pubblicato in: Procedia CIRP, Numero 107, 2022, ISSN 2212-8271
Editore: 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.

Autori: M. Sana, M..U, Farooq, S. Anwa, R. Haber
Pubblicato in: Heliyon, Numero 12, 2023, ISSN 2405-8440
Editore: Elservier
DOI: 10.1016/j.heliyon.2023.e22508

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

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

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

Autori: E. Montini, A. Bettoni, M. Ciavotta, E. Carpanzano, P. Pedrazzoli
Pubblicato in: 54th CIRP Conference on Manufacturing Systems, 2021
Editore: CIRP

A methodology to select wearable devices for Industry 5.0 applications

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

Artificial Intelligence in Manufacturing - Enabling Intelligent, Flexible and Cost-Effective Production Through AI

Autori: K. Ejsmont, B. Gladysz, N. Roczon, A. Bettoni, Z.M. Barut, R. Haber, E. Minisci
Pubblicato in: Multisided Business Model for Platform 1 Offering AI Services, 2023, Pagina/e Page 105, ISBN 978-3-031-46451-5
Editore: Springer

Artificial Intelligence in Manufacturing - Enabling Intelligent, Flexible and Cost-Effective Production Through AI

Autori: Y.J. Cruz, F. Castaño, R.E. Haber, A. Villalonga, K. Ejsmont, B. Gladysz, A. Flores, P. Alemany
Pubblicato in: Self-Reconfiguration for Smart Manufacturing Based on Artificial Intelligence: A Review and Case Study, 2023, Pagina/e Page 121, ISBN 978-3-031-46451-5
Editore: Springer

Artificial Intelligence in Manufacturing - Enabling Intelligent, Flexible and Cost-Effective Production Through AI

Autori: V. Cutrona, G. Landolfi, R. Alonso, E. Montini, A. Falconi, A. Bettoni
Pubblicato in: Architecture of a Software Platform for Affordable Artificial Intelligence in Manufacturing, 2023, Pagina/e Page 87, ISBN 978-3-031-46451-5
Editore: Springer

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

Autori: Rodolfo Haber, Fernando Castaño
Pubblicato in: Data set Repository, 2021
Editore: Zenodo
DOI: 10.5281/zenodo.5602977

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Risultati finali

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