Explainable Manufacturing Artificial Intelligence

Projektinformationen

XMANAI

ID Finanzhilfevereinbarung: 957362

DOI

10.3030/957362

Projekt abgeschlossen

EK-Unterschriftsdatum 28 Juli 2020

Startdatum 1 November 2020

Enddatum 30 April 2024

Finanziert unter

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

Gesamtkosten

€ 5 998 902,50

EU-Beitrag

€ 5 998 902,50

Koordiniert durch

TXT E-TECH SRL
Italy

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 (8)

XMANAI Platform - Beta Version

The beta release of the platform, with supporting documentation.

XMANAI Platform - Alpha Version

An alpha version of the platform delivered for early assessment accompanied with the updated functional and nonfunctional requirements system architecture the bundles design and the APIs The initial interface includes the basic UIUX for the users of the platform

XMANAI AI Bundles - First Release

This deliverable will provide the first release of the tools to be developed in WP2 following the prioritisation of the user stories based on the MVP of WP1

XMANAI Asset Management Bundles - First Release

This deliverable will provide the first release of the tools to be developed in WP2 following the prioritisation of the user stories based on the MVP of WP1

System Architecture, Bundles Placement Plan and APIs Design

The first version of the system architecture the bundles design the APIs

XMANAI Asset Management Bundles - Second Release

This deliverable will provide the second and final release of the tools to be developed in WP2

XMANAI AI Bundles - Second Release

This deliverable will provide the second and final release of the tools to be developed in WP2

XMANAI Platform - Version 1.0

The final release of the platform and tools, with documentation.

Documents, reports (13)

Final Evaluation and Impact Assessment Report

Evaluation of the demonstrators using the final version of the platform (v1.00) and impact assessment consolidating the input of Tasks 6.2-6.8.

XMANAI Knowledge Transfer and Replication Roadmap

Recommendations and guidelines for porting scaling up and replication the XMANAI concept at larger scales, and for transferring knowledge of XMANAI and the developed assets and infrastructure, to other manufacturing sectors and domains.

2nd Dissemination, Communication, Standardisation Report and Plan for next period

D84 will report on the WP8 activities performed during the 2nd period and will provide an updated plan for all dissemination standardisation and communication activities that will be scheduled for the 3rd reporting period M31M42

1st Dissemination and Communication and Plan for next period

D83 will report on all the WP8 activities performed during the 1st reporting period and will provide an updated plan for all dissemination and communication activities that will be scheduled for the 2nd reporting period M19M30

Draft Catalogue of XMANAI AI and Graph Machine Learning Models

This deliverable will provide the list of baseline models that are generally appropriate for the manufacturing domain and for the different pilot scenarios to be supported by XMANAI identifying their main parameters and structural elements as well as their inputs outputs and usage scenarios

AI Bundles Methods and System Designs

This deliverable will provide the methods and the designs to be used for the development of the bundles of WP3 alongside with low fidelity functional mockups that will be used for a first round of evaluation

Final Dissemination, Communication and Standardisation Report

This deliverable aims to provide the final report on all dissemination, communication, standardisation and stakeholder engagement activities performed during the last reporting period of the project.

State of the Art Review in XMANAI Research Domains

D11 will include a thorough analysis of the state of the art of the research domains to be touched by XMANAI delivering a list of concepts methods and tools that will be further considered by the project for the implementation of both the XMANAI methodology the platform and the algorithms and models to be constructed

Updated Requirements and AI/Graph Analytics focused MVP

This deliverable will update the requirements and will provide an MVP version that will focus on the AI and Graph Analytics parts of the platform following the initial work on those that will be performed in WP3 and WP4

Final XMANAI MVP

Final version of the methodology and a fullyfledged MVP describing the overall operations of the XMANAI platform which will drive the implementation work of the next WPs

Asset Management Bundles Methods and System Designs

This deliverable will provide the methods and the designs to be used for the development of the bundles of WP2 alongside with low fidelity functional mockups that will be used for a first round of evaluation

XMANAI Concept Detailing, Initial Requirements, Usage Scenarios and Draft MVP

This deliverable will coin the detailed XMANAI concept and will provide the initial requirements of the platform the early identification of data sources to be used and an initial set of usage scenarios driving a high level MVP that will describe core backbone data management and analysis operations to be designed in WP2 and WP3

Project Evaluation Plan and First Round of Demonstrators Implementation Plan

Documentation of the evaluation framework and validation methodology defining the various practices for recording feedback from the demonstration activities and including a set of testcases to be executed by the demonstrator partners

Open Research Data Pilot (1)

Ethics and Data Management Plan

Direct outcome of T92 documenting the data management handling plan and the ethics report and safeguarding measures It will constitute a living document

Websites, patent fillings, videos etc. (1)

Project Website and Communication Channels Instantiation

This deliverable is related to the provision of the Website of the project and will set up all needed Web 20 and social channels that will be used during the project for communication

Veröffentlichungen

Peer reviewed articles (3)

Explainability as the key ingredient for AI adoption in Industry 5.0 settings

Autoren: Agostinho Carlos; Dikopoulou Zoumpolia; Lavasa Eleni; Perakis Konstantinos; Pitsios Stamatis; Branco Rui; Reji Sangeetha; Hetterich Jonas; Biliri Evmorfia; Lampathaki Fenareti; Rodríguez Del Rey Silvia and Gkolemis Vasilis
Veröffentlicht in: Frontiers in Artificial Intelligence, Ausgabe 6, 2023, ISSN 2624-8212
Herausgeber: Frontiers
DOI: 10.3389/frai.2023.1264372

A novel human-centric framework for maintenance digitization using Augmented Reality

Autoren: Valentini, Lorenzo; Grandi, Fabio; Peruzzini, Margherita, Pellicciari, Marcello
Veröffentlicht in: International Journal of Agile Systems and Management, 2024, ISSN 1741-9182
Herausgeber: Inderscience
DOI: 10.5281/zenodo.12075524

A methodology to guide companies in using Explainable AI-driven interfaces in manufacturing contexts interfaces in manufacturing contexts

Autoren: Grandi, Fabio; Zanatto, Debora; Capaccioli, Andrea; Napoletano, Linda; Cavallaro, Sara; and Peruzzini, Margherita
Veröffentlicht in: Procedia Computer Science, Ausgabe 232, 2024, Seite(n) 3112-3120, ISSN 1877-0509
Herausgeber: Elsevier
DOI: 10.1016/j.procs.2024.02.127

Conference proceedings (12)

Industrial Asset Management and Secure Sharing for an XAI Manufacturing Platform

Autoren: Reji, Sangeetha; Hetterich, Jonas; Pitsios, Stamatis; Gkolemi, Vasilis; Perez-Castanos, Sergi; Pertselakis, Minas
Veröffentlicht in: 29th ICE IEEE/ITMC Conference, 2023
Herausgeber: IEEE
DOI: 10.5281/zenodo.7991121

An Explainable & Secure Artificial Intelligence platform for the manufacturing industry – Applications & lessons learnt

Autoren: Konstantinos Perakis; Silvia Rodriguez; Fenareti Lampathaki
Veröffentlicht in: Proceedings of Interoperability for Enterprise Systems and Applications Workshops, co-located with 12th International Conference on Interoperability for Enterprise Systems and Applications (I-ESA 2024), 2024
Herausgeber: CEUR Workshop Proceedings
DOI: 10.5281/zenodo.12698135

Explainable Artificial Intelligence Bundles for Algorithm Lifecycle Management in the Manufacturing Domain

Autoren: Biliri Evmorfia; Lampathaki Fenareti; Mandilaras George; Prieto-Roig Ausias; Calabresi Mattia; Branco Rui; Gkolemis Vasileios
Veröffentlicht in: 29th ICE IEEE/ITMC Conference, 2023
Herausgeber: IEEE
DOI: 10.5281/zenodo.8010284

UX-Driven Methodology to Design Usable Augmented Reality Applications for Maintenance

Autoren: Valentini, Lorenzo; Grandi, Fabio; Peruzzini, Margherita; Pellicciari, Marcello
Veröffentlicht in: Proceedings of the 30th ISTE International Conference on Transdisciplinary Engineering, 2023, Seite(n) 42 - 51
Herausgeber: IOS Press
DOI: 10.3233/atde230596

Explainable AI in Manufacturing: an Analysis of Transparency and Interpretability Methods for the XMANAI Platform

Autoren: Branco, Rui; Agostinho, Carlos; Gusmeroli, Sergio; Lavasa, Eleni; Dikopoulou, Zoumpolia; Monzo, David; Lampathaki, Fenareti
Veröffentlicht in: 29th ICE IEEE/ITMC Conference, 2023
Herausgeber: IEEE
DOI: 10.5281/zenodo.7987108

Regionally Additive Models: Explainable-by-design models minimizing feature interactions

Autoren: Gkolemis, Vasilis; Tzerefos, Anargiros; Dalamagas, Theodore; Ntoutsi, Erini; Diou, Christos
Veröffentlicht in: Uncertainty meets Explainability Workshop at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD 2023), 2023
Herausgeber: ECML PKDD
DOI: 10.5281/zenodo.10933636

DALE: Differential Accumulated Local Effects for efficient and accurate global explanations

Autoren: Gkolemis, Vasilis; Dalamagas, Theodore; Diou, Christos
Veröffentlicht in: Asian Conference in Machine Learning (ACML), 2023
Herausgeber: ACML
DOI: 10.5281/zenodo.7220114

"Moving from ""black box"" to ""glass box"" Artificial Intelligence in Manufacturing with XMANAI"

Autoren: Fenareti Lampathaki, Carlos Agostinho, Yury Glikman, Michele Sesana
Veröffentlicht in: 27th ICE/IEEE International Technology Management Conference, Cardiff UK, June 21-23 2021, 2021
Herausgeber: 27th ICE/IEEE International Technology Management Conference
DOI: 10.1109/ice/itmc52061.2021.9570236

Towards Explainable AI Validation in Industry 4.0: A Fuzzy Cognitive Map-based Evaluation Framework for Assessing Business Value

Autoren: Dikopoulou, Zoumpolia; Lavasa, Eleni; Perez-Castanos, Sergi; Monzo, David; Moustakidis, Serafeim
Veröffentlicht in: 29th ICE IEEE/ITMC Conference, 2023
Herausgeber: IEEE
DOI: 10.5281/zenodo.7997624

A novel Explainable Artificial Intelligence and secure Artificial Intelligence asset sharing platform for the manufacturing industry

Autoren: Dimitris Miltiadou; Konstantinos Perakis; Michele Sesana; Mattia Calabresi; Fenareti Lampathaki; Evmorfia Biliri
Veröffentlicht in: 29th ICE IEEE/ITMC Conference, 2023
Herausgeber: IEEE
DOI: 10.5281/zenodo.8010282

Integrating Explainability-by-Design for Transparent and Efficient AI in Manufacturing

Autoren: Capaccioli, Andrea; Agostinho, Carlos; Antonello, Veronica; Lampathaki, Fenareti; Sesana, Michele
Veröffentlicht in: Proceedings of Interoperability for Enterprise Systems and Applications Workshops, co-located with 12th International Conference on Interoperability for Enterprise Systems and Applications (I-ESA 2024), 2024
Herausgeber: CEUR Workshop Proceedings
DOI: 10.5281/zenodo.12665533

RHALE: Robust and Heterogeneity-Aware Accumulated Local Effects

Autoren: Gkolemis, Vasilis; Dalamagas, Theodore; Ntoutsi, Eirini; Diou, Christos
Veröffentlicht in: Proceedings of 26th European Conference on Artificial Intelligence (ECAI 2023), 2023, Seite(n) 859 - 866
Herausgeber: IOS Press
DOI: 10.3233/faia230354

Book chapters (4)

Holistic Production Overview: Using XAI for Production Optimization

Autoren: Perez-Castanos, Sergi; Prieto-Roig, Ausias; Monzo, David; and Colomer-Barbera, Javier
Veröffentlicht in: Artificial Intelligence in Manufacturing, 2023, Seite(n) 423–436, ISBN 978-3-031-46452-2
Herausgeber: Springer, Cham
DOI: 10.1007/978-3-031-46452-2_24

XAI for Product Demand Planning: Models, Experiences, and Lessons Learnt

Autoren: Fenareti Lampathaki, Enrica Bosani, Evmorfia Biliri, Erifili Ichtiaroglou, Andreas Louca, Dimitris Syrrafos, Mattia Calabresi, Michele Sesana, Veronica Antonello & Andrea Capaccioli
Veröffentlicht in: Artificial Intelligence in Manufacturing, 2023, Seite(n) 437–458, ISBN 978-3-031-46452-2
Herausgeber: Springer, Cham
DOI: 10.1007/978-3-031-46452-2_25

Toward Explainable Metrology 4.0: Utilizing Explainable AI to Predict the Pointwise Accuracy of Laser Scanning Devices in Industrial Manufacturing

Autoren: Eleni Lavasa, Christos Chadoulos, Athanasios Siouras, Ainhoa Etxabarri Llana, Silvia Rodríguez Del Rey, Theodore Dalamagas & Serafeim Moustakidis
Veröffentlicht in: Artificial Intelligence in Manufacturing, 2023, Seite(n) 479–501, ISBN 978-3-031-46452-2
Herausgeber: Springer, Cham
DOI: 10.1007/978-3-031-46452-2_27

Process and Product Quality Optimization with Explainable Artificial Intelligence

Autoren: Michele Sesana, Sara Cavallaro, Mattia Calabresi, Andrea Capaccioli, Linda Napoletano, Veronica Antonello & Fabio Grandi
Veröffentlicht in: Artificial Intelligence in Manufacturing, 2023, ISBN 978-3-031-46452-2
Herausgeber: Springer, Cham
DOI: 10.1007/978-3-031-46452-2_26