AI Driven industrial Equipment product life cycle boosting Agility, Sustainability and resilience
HORIZON.2.4HORIZON-IAID: 101057294
EC Contribution
€59,997
Consortium Size
17 orgs
▶Summary
Machinery industry in Europe is a basis for employment, growth and wealth, with around 3.2 million people employed. Industrial equipment is considered a key enabler for industrial development and the EU has a historically strategic position in this sector. However, it lives from a technological edge in a very competitive landscape. Hereby, it is crucial to provide all stakeholders of the EU with AI technologies that guarantee a resilient design, deployment and reuse of industrial equipment for an increased global competitiveness and a reinforcement of its industrial strategic autonomy and resiliency.AIDEAS will develop AI technologies for supporting the entire lifecycle (design, manufacturing, use, and repair/reuse/recycle) of industrial equipment as a strategic instrument to improve sustainability, agility and resilience of the European machinery manufacturing companies. AIDEAS will deploy 4 integrated Suites: 1) Design: AI technologies, integrated with CAD/CAM/CAE systems, for optimising the design of industrial equipment structural components, mechanisms and control components; 2) Manufacturing: AI technologies for industrial equipment purchased components selection and procurement, manufactured parts processes optimisation, operations sequencing, quality control and customisation; 3) Use: AI technologies with added value for the industrial equipment user, providing enhanced support for installation and initial calibration, production, quality assurance and predictive maintenance for working on optimal conditions; 4) Repair-Reuse-Recycle: AI technologies for extending the useful life of machines through prescriptive maintenance (repair), facilitating a second life for machines through a smart retrofitting (reuse) and identification of the most sustainable end-of-life (recycle).The AIDEAS Solutions will be demonstrated in 4 Pilots of machinery manufacturers that provide industrial equipment to different industrial sectors: metal, stone, plastic and food.
Consortium (17)
ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS
coordinator🇩🇪 BBM MASCHINENBAU UND VERTRIEBS GMBHDE
partner🇮🇹 CE.S.I. CENTRO STUDI INDUSTRIALI SRLIT
partner🇵🇹 D2 TECHNOLOGY - MAQUINAS E EQUIPAMENTOS INDUSTRIAIS LDAPT
partner🇩🇪 DIN DEUTSCHES INSTITUT FUER NORMUNG EVDE
partner🇵🇱 FUNDINGBOX ACCELERATOR SP ZOOPL
partner🇪🇸 FUNDINGBOX COMMUNITIES SLES
partner🇩🇪 IANUS SIMULATION GMBHDE
partner🇪🇸 IKERLAN S. COOPES
partner🇪🇸 INSTITUTO TECNOLOGICO DE INFORMATICAES
partner🇪🇸 MULTISCAN TECHNOLOGIES SLES
partner🇮🇹 PAMA SPAIT
partner🇫🇮 TAMPEREEN KORKEAKOULUSAATIO SRFI
partner🇵🇹 UNINOVA-INSTITUTO DE DESENVOLVIMENTO DE NOVAS TECNOLOGIAS-ASSOCIACAOPT
partner🇮🇹 UNIVERSITA POLITECNICA DELLE MARCHEIT
partner🇪🇸 UNIVERSITAT POLITECNICA DE VALENCIAES
partner🇸🇮 XLAB RAZVOJ PROGRAMSKE OPREME IN SVETOVANJE DOOSI
partnerProject Results (94)
Source: CORDIS, the EU research results database.
▶Publications (74)
A Biased-Randomized Discrete Event Algorithm to Improve the Productivity of Automated Storage and Retrieval Systems in the Steel Industry
Mattia Neroni, Massimo Bertolini, Angel A. Juan
A Model for the Multidepot Multiple Travelling Salesman Problem and Advanced Resolution Strategies
Juan Pablo Fiesco, Beatriz Andres, Raul Poler
A Reference Architecture for AI-Driven Industrial Equipment Life Cycle Boosting Agility, Sustainability and Resilience
· 2025DOI
Mateo-Casalí, Miguel A., Ferreira, José, Calado, Jorge, Afolaranmi, Samuel Olaiya, Martinez Lastra, Jose Luis, Tzionis, Grigoris, Apostolou, Georgia, Cosa-Liñán, Alejandro, Escamilla Fuster, Joan,
A Review on Digital Product Passports as Drivers of Digital Transformation in Industry
Grigorios Tzionis, Georgia Kougka, Ilias Gialampoukidis, Stefanos Vrochidis, Ioannis Kompatsiaris, Maro Vlachopoulou, Samuel Olaiya Afolaranmi, Jose Luis Martinez Lastra
Adaptive Production Rescheduling System for Managing Unforeseen Disruptions
Andy J. Figueroa, Raul Poler, Beatriz Andres
AI-DISS: Dataset for classification of cutting tools
· 2025DOI
Mateo Del Gallo,Ilaria Pietrangeli, Tommaso Canullo,Giovanni Mazzuto, Filippo Emanuele Ciarapica, Fabrizio Defant
An Agile Adaptive Biased-Randomized Discrete-Event Heuristic for the Resource-Constrained Project Scheduling Problem
Xabier A. Martin, Rosa Herrero, Angel A. Juan, Javier Panadero
Artificial Intelligence to Solve Production Scheduling Problems in Real Industrial Settings: Systematic Literature Review
Mateo Del Gallo, Giovanni Mazzuto, Filippo Emanuele Ciarapica, Maurizio Bevilacqua
Comparative Analysis of Feature Importance in Machine Learning Models for Predictive Maintenance
Grigorios Tzionis, Myrsini Ntemi, Ilias Gialampoukidis, Stefanos Vrochidis, Ioannis Kompatsiaris, Maro Vlachopoulou
Conceptual Framework for the Optimization of Capacitated Lot-Sizing and Scheduling Problem
Lecture Notes on Data Engineering and Communications Technologies, Organizational Engineering, Coping with Complexity· 2025DOI
Juan Pablo Fiesco, Ana Esteso, M. M. E. Alemany, Raúl Poler
Cyber-physical System for Security and Wellbeing of Shop Floor Workers
José Ferreira, Jorge Calado, Rui Branco, Manuela Azevedo, Carlos Agostinho, Ricardo Jardim-Gonçalves
Digital Triplet Paradigm Based Brain Like Intelligence for Augmenting the Resilience of Intelligent Mechatronics, Towards Mitigating the Complexity of Cognitive Computing in the Oil and Gas Industry 5
· 2025DOI
Hassan ALIMAM
Empowering Supply Chain Management with AIBased Tools in the Inspection Machinery Industry
Juan Pablo Fiesco Muñoz, Mateo Del Gallo, Gerardo Minella, Samuel Olaiya Afolaranmi, Mahboob Elahi, Yasir Rathore, Marcos Rico Vañó, Pedro Alfaro Fernández, Beatriz Andrés Navarro, Filippo Emanuele Ciarapica, Jose Luis Martinez Lastra
Enhancing Robustness in Feature Importance Methods with NAFIC and CESHAP for Improved Interpretability
Grigorios Tzionis, Georgia Kougka, Ilias Gialampoukidis, Stefanos Vrochidis, Ioannis Kompatsiaris, Maro Vlachopoulou
Facilitating AI-Based Solutions Integration in Production Planning: Development of an Interoperable Data Model
Lecture Notes on Data Engineering and Communications Technologies, Organizational Engineering, Coping with Complexity· 2025DOI
Beatriz Andres, Juan Pablo Fiesco, Raul Poler, Miguel A. Mateo-Casali
Herramientas basadas en inteligencia artificial para la evaluación de la condición y la detección de anomalías en maquinaria industrial
· 2025DOI
Gómez, Ana, Espadas, Rafael, Zubizarreta, Ainhoa, Carrascal, Eneko, Leturiondo, Urko
Implementation of Technological Solutions to Improve the Natural Stone-Cutting Process
José Ferreira, João Pedro Mendonça, Jorge S. Calado, Ricardo Jardim-Gonçalves
Industrial Machine Data Generation and Artificial Optimisation for Blow Molding Extrusion Machines
Oleg Grauberger, Kai Wenz, Marius Dörner, Alexander Schulz
Inteligencia Artificial para el soporte a la toma de decisiones en el ciclo de vida de los equipos industriales
Miguel Ángel Mateo-Casalí, Juan Pablo Fiesco, Beatriz Andres, Raul Poler
Intelligent Retrofitting Paradigm for Conventional Machines towards the Digital Triplet Hierarchy
Hassan Alimam, Giovanni Mazzuto, Marco Ortenzi, Filippo Emanuele Ciarapica, Maurizio Bevilacqua
Materials Traceability Aiming Zero-Defects Manufacturing In Cloud Based Solutions in Construction Sector
José Ferreira, João Pedro Mendonça, Tal Soffer, Ricardo Jardim Gonçalves
Optimization Challenges in Vehicle-to-Grid (V2G) Systems and Artificial Intelligence Solving Methods
Marc Escoto, Antoni Guerrero, Elnaz Ghorbani, Angel A. Juan
Optimization of productive processes: case study on Italian kitchen manufacturer packaging line
Lodovico Basilici Menini, Giulio Marcucci, Filippo Emanuele Ciarapica, Maurizio Bevilacqua
Real-Time Environmental Monitoring in Smart Buildings Using Federated Learning
Pedro Ventura, Mohammad Khodamoradi, Ruben Costa, Paulo Figueiras, Ricardo Jardim-Gonçalves
Smart Tuning of Algorithm Parameters by Deep Reinforcement Learning
Lecture Notes on Data Engineering and Communications Technologies, Organizational Engineering, Coping with Complexity· 2025DOI
J. C. Serrano-Ruiz, J. Mula, R. Poler
Strategical and tactical supply chain optimisation for smart production planning and control 4.0
Hector Cañas, Josefa Mula, Francisco Campuzano-Bolarin
Using Heuristics to Enhance Real-Life Warehouse Replenishment Processes in the Fashion Industry
Juliana Castaneda, Erika M. Herrera, Julio C. Londoño, Javier Panadero, Angel A. Juan
Using Reinforcement Learning to Solve a Dynamic Orienteering Problem with Random Rewards Affected by the Battery Status
Angel A. Juan, Carolina A. Marugan, Yusef Ahsini, Rafael Fornes, Javier Panadero, Xabier A. Martin
Using Transformers and Reinforcement Learning for the Team Orienteering Problem Under Dynamic Conditions
Antoni Guerrero, Marc Escoto, Majsa Ammouriova, Yangchongyi Men, Angel A. Juan
A Combination of Association Rules and Optimization Model to Solve Scheduling Problems in an Unstable Production Environment
"""Del Gallo et al. (UNIVPM) m.delgallo@pm.univpm.it"""
A Learnheuristic Algorithm Based on Thompson Sampling for the Heterogeneous and Dynamic Team Orienteering Problem
Antonio R. Uguina; Juan F. Gomez; Javier Panadero; Anna Martínez-Gavara; Angel A. Juan
A self-learning framework combining association rules and mathematical models to solve production scheduling programs
Mateo Del Gallo, Sara Antomarioni, Giovanni Mazzuto, Giulio Marcucci, Filippo Emanuele Ciarapica
Advanced technologies for the Repair, Reuse, and Recycling of industrial equipment
· 2024DOI
Ilaria Pietrangeli, Giovanni Mazzuto, Filippo Emanuele Ciarapica, Jone Uribetxebarria, Ana Gómez González, Grigorios Tzionis
AI Applications in the Configuration and Calibration of Industrial Machines
Jorge S. Calado, José Ferreira, João Pedro Mendonça, Ricardo Jardim-Gonçalves
AI tools for conditioning evaluation and anomaly detection
· 2024DOI
Gómez, Ana; Espadas, Rafael; Zubizarreta, Ainhoa; Leturiondo, Urko
AI-based solutions for Industrial Equipment Use
· 2024DOI
Gómez, Ana, Espadas, Rafael, Trojaola, Ignacio, Blázquez, Ane, Ferreira, José, Calado, Jorge, Stepec, Dejan, Radolovic, Dragan, Perez-Cortes, Juan Carlos, García Sastre, Nicolás
AI-based Solutions for Optimising Industrial Equipment Manufacturing
· 2024DOI
Afolaranmi, Samuel Olaiya; Del Gallo, Mateo; Ciarapica, Filippo Emanuele; Minella, Gerardo; Escamilla Fuster, Joan; Alfaro Fernandez, Pedro; Tzionis, Grigoris; Martinez Lastra, Jose Luis
Alignment and Improvement of Shape-From-Silhouette Reconstructed 3D Objects
Alberto J. Perez, Javier Perez-Soler, Juan-Carlos Perez-Cortes, Jose-Luis Guardiola
Artificial Intelligence Decision Systems to Support Industrial Equipment Manufacturing
Lecture Notes on Data Engineering and Communications Technologies, Proceedings of the 17th International Conference on Industrial Engineering and Industrial Management (ICIEIM) – XXVII Congreso de Ingeniería de Organización (CIO2023)· 2024DOI
Beatriz Andres, Miguel Angel Mateo-Casali, Juan Pablo Fiesco, Raul Poler
Artificial Neural Networks to Obtain the Machining Parameters for a Compliant Part in a Single Re-Machining Step
Mateo Del Gallo, Fabrizio Defant, Giovanni Mazzuto, Filippo Emanuele Ciarapica, Maurizio Bevilacqua
Enhancing Machinery Design by Using Artificial Intelligence
Lecture Notes on Data Engineering and Communications Technologies, Proceedings of the 17th International Conference on Industrial Engineering and Industrial Management (ICIEIM) – XXVII Congreso de Ingeniería de Organización (CIO2023)· 2024DOI
Juan Pablo Fiesco, Miguel Angel Mateo-Casali, Beatriz Andres, Raul Poler
Ethical Considerations in Interoperability
José Ferreira, Hezam Haidar, Cristina Contero Almagro, Tal Soffer, Guy Doumeingts, Ricardo Jardim-Gonçalves
Evaluation of Explainable Artificial Intelligence Methods in Language Learning Classification of Spanish Tertiary Education Students
Lecture Notes in Networks and Systems, Smart Mobile Communication & Artificial Intelligence· 2024DOI
Grigorios Tzionis, Gerasimos Antzoulatos, Periklis Papaioannou, Athanasios Mavropoulos, Ilias Gialampoukidis, Marta González Burgos, Stefanos Vrochidis, Ioannis Kompatsiaris, Maro Vlachopoulou
Experimental data: Adaptive Production Rescheduling System for Managing Unforeseen Disruptions
· 2024DOI
Figueroa Ávila, Andy José
From labs to lecture halls: Understanding the crossroad of EU R&D projects and marketing education at universities
"""Serrano et al. (UPV) jserrano@cigip.upv.es """
Integration of AI Use Cases in Training to Support Industry 4.0
Nazarenko, Artem; Zamiri, Majid; Sarraipa, Joao; Figueiras, Paulo; Jardim-Goncalves, Ricardo; Moalla, Néjib
Job shop smart manufacturing scheduling by deep reinforcement learning
Julio C. Serrano-Ruiz, Josefa Mula, Raul Poler
Optimising CNC Machining Processes through Artificial Neural Networks: A Case Study in a Machine Tool Company
· 2024DOI
Mateo Del Gallo
Optimising Machinery Utilisation by Applying Artificial Intelligence
Lecture Notes on Data Engineering and Communications Technologies, Proceedings of the 17th International Conference on Industrial Engineering and Industrial Management (ICIEIM) – XXVII Congreso de Ingeniería de Organización (CIO2023)· 2024DOI
Miguel Ángel Mateo-Casali, Juan Pablo Fiesco, Beatriz Andres, Raul Poler
Pioneering Energy Efficiency in Steel Industries Through Weighted SHAP and PFI Methodologies
Grigorios Tzionis, Ilias Gialampoukidis, M yrsini N temi, Stefanos Vrochidis, Ioannis Kompatsiaris, Maro Vlachopoulou
Relational network of innovation ecosystems generated by digital innovation hubs: a conceptual framework for the interaction processes of DIHs from the perspective of collaboration within and between their relationship levels
"""Serrano et al. (UPV) jserrano@cigip.upv.es """
Simulation of Heuristics for Automated Guided Vehicle Task Sequencing with Resource Sharing and Dynamic Queues
"""Leon et al. (UPV) ajuanp@upv.es"""
Smart Master Production Scheduling by Deep Reinforcement Learning: An Exploratory Analysis
IFIP Advances in Information and Communication Technology, Navigating Unpredictability: Collaborative Networks in Non-linear Worlds· 2024DOI
Julio C. Serrano-Ruiz, Josefa Mula, Raúl Poler, Manuel Díaz-Madroñero
Smart Retrofit Architecture: Enhancing Sustainability of Industrial Equipment in Small-Medium Enterprises
· 2024DOI
Pietrangeli; Mazzuto; Ciarapica; Bevilacqua; Defant
Smart Retrofit Solution: An Architecture for Digital Innovation
Ilaria Pietrangeli, Giovanni Mazzuto, Filippo Emanuele Ciarapica, Maurizio Bevilacqua, Marco Ortenzi
Sustainability
Hassan Alimam,Giovanni Mazzuto,Marco Ortenzi,Filippo Emanuele Ciarapica, and Maurizio Bevilacqua
A comprehensive literature review of the applications of AI techniques through the lifecycle of industrial equipment
"""Elahi, M., Afolaranmi, S.O., Martinez Lastra, J.L. et al (TAU) samuel.afolaranmi@tuni.fi"""
A Methodology for Project Use Case Definition
Lecture Notes on Data Engineering and Communications Technologies, IoT and Data Science in Engineering Management· 2023DOI
Beatriz Andres, Faustino Alarcon, Daniel Cubero, Raul Poler
An Unsupervised Anomaly Detection Based on Self-Organizing Map for the Oil and Gas Sector
"""Concetti et al. (UNIVPM) l.concetti@staff.univpm.it"""
Artificial Intelligence to Support Collaboration in the Industrial Equipment Life Cycle
IFIP Advances in Information and Communication Technology, Collaborative Networks in Digitalization and Society 5.0· 2023DOI
B. Andres, M. A. Mateo-Casali, J. P. Fiesco, Raúl Poler
Dynamic Reactive Assignment of Tasks in Real-Time Automated Guided Vehicle Environments with Potential Interruptions
"""Martín et al. (UPV) xamarsol@upv.edu.es"""
Modelado integrado de fuerzas y motores de induccion aplicado al proceso de fresado
"""Trojaola et al. (IKERLAN) itrojaola@ikerlan"""
Smart Retrofit: An Innovative and Sustainable Solution
"""Pietrangeli et al. (UNIVPM) i.pietrangeli@pm.univpm.it"""
Systematic Literature Review of Artificial Intelligence in Production Scheduling Problems in Real Cases
· 2023DOI
Mateo Del Gallo
Why is the Winner the Best?
Eisenmann, M.; Reinke, A.; Weru, V.; Tizabi, M.D.; Isensee, F.; Adler, T.J.; Ali, S.; Andrearczyk, V.; Aubreville, M.; Baid, U.; Bakas, S.; Balu, N.; Bano, S.; Bernal, J.; Bodenstedt, S.; Casella, A.; Cheplygina, V.; Daum, M.; De Bruijne, M.; Depeursinge, A.; Dorent, R.; Egger, Jan; Ellis, D.G.; Engelhardt, S.; Ganz, M.; Ghatwary, N.; Girard, G.; Godau, P.; Gupta, A.; Hansen, L.; Harada, K.; Heinrich, M.; Heller, N.; Hering, A.; Huaulmé, A.; Jannin, P.; Kavur, A.E.; Kodym, O.; Kozubek, M.; Li, J.; Li, H.; Ma, J.; Martín-Isla, C.; Menze, B.; Noble, A.; Oreiller, V.; Padoy, N.; Pati, S.; Payette, K.; Rädsch, T.; Rafael-Patiño, J.; Bawa, V. Singh; Speidel, S.; Sudre, C.H.; Van Wijnen, K.; Wagner, M.; Wei, D.; Yamlahi, A.; Yap, M.H.; Yuan, C.; Zenk, M.; Zia, A.; Zimmerer, D.; Aydogan, D.; Bhattarai, B.; Bloch, L.; Brüngel, R.; Cho, J.; Choi, C.; Dou, Q.; Ezhov, I.; Friedrich, C.M.; Fuller, C.; Gaire, R.R.; Galdran, A.; García Faura, A.; Grammatikopoulou, M.; Hong, S.; Jahanifar, M.; Jang, I.; Kadkhodamohammadi, A.; Kang, I.; Kofler, F.; Kondo, S.; Kuijf, H.; Li, M.; Luu, M.; Martinčič, T.; Morais, P.; Naser, M.A.; Oliveira, B.; Owen, D.; Pang, S.; Park, J.; Park, S.; Płotka, S.; Puybareau, E.; Rajpoot, N.; Ryu, K.; Saeed, N.; Shephard, A.; Shi, P.; Štepec, D.; Subedi, R.; Tochon, G.; Torres, H.R.; Urien, H.; Vilaça, J.L.; Wahid, K.A.; Wang, H.; Wang, J.; Wang, L.; Wang, X.; Wiestler, B.; Wodzinski, M.; Xia, F.; Xie, J.; Xiong, Z.; Yang, S.; Yang, Y.; Zhao, Z.; Maier-Hein, K.; Jäger, P.F.; Kopp-Schneider, A.; Maier-Hein, L.; Faura, Á. García
▶Deliverables (19)
Documents, reports
Documents, reports
Websites, patent fillings, videos etc.
Websites, patent fillings, videos etc.
Documents, reports
Documents, reports
Documents, reports
▶Other Results (1)
Periodic Reporting for period 1 - AIDEAS (AI Driven industrial Equipment product life cycle boosting Agility, Sustainability and resilience)