Reslient Rapid ReconfiGurable pROdUction Process chains

Digital, Industry & SpaceHORIZON-IAID: 101091869
EC Contribution
€91,245
Consortium Size
25 orgs
Start Year
2023
Summary

Covid-19 has shown that unpredictable events can disrupt supply chains, demand, and induce work restrictions, which can be detrimental to the manufacturing sector, significantly affecting growth. Especially, when medium or high-volume manufacturing is considered, resilience can only be achieved through rapid reconfigurability and digitalization. Rapid reconfigurability must be addressed in all production levels, ranging from the factory to the machinery and to each individual process step, as well as the interaction with the supply chain. The objective of R3GROUP is to develop and demonstrate resilience strategies for reconfiguration. The project will carry out industrial demonstrators in diverse manufacturing sectors (automotive, fabricated metal products, rubber and plastics, wearing apparel, home appliances) facing various reconfiguration issues (scale up or down, introduction of new suppliers, accommodation of multiple product variants, resilience to unforeseen events), engaging end-users operating with different business models (B2B, B2C) and on different positions in the value chain (OEM, Tier 1). R3GROUP will follow the 6 reconfigurability principles to develop technologies in 5 pillars towards resilience through reconfigurability: i) release an AAS-enabled platform for horizontal and vertical integrability for reconfigurability; ii) develop production tools and technologies, through the reconfigurable machine tool concept; iii) deploy a digital toolkit supporting rapid evaluation of reconfiguration impacts, using multi-level digital twins; iv) integrate innovative tools to capture the trigger for reconfiguration that provide awareness on the status of the rest of the value chain (supply chain, market); v) multi-level monitoring, control, and quality assessment to mitigate the reconfiguration impact. Finally, R3GROUP will develop human-centred solutions and put special focus on reskilling to support the adoption of novel technologies.

Consortium (25)

Project Results (19)

Source: CORDIS, the EU research results database.

Publications (13)
Simulation Power vs. Immersive Capabilities: Enhanced Understanding and Interaction with Digital Twin of a Mechatronic System
Applied Sciences· 2025DOI
Constantin-Catalin Dosoftei
A digital twin framework for prediction, monitoring, and diagnosis in copper tube extrusion
Materials Research Proceedings, Innovative Manufacturing Engineering and Energy: IManEE2024· 2024DOI
Kyriakos SABATAKAKIS
Addressing the challenge of process stability control in wire DED-LB/M process
CIRP Annals· 2024DOI
P. Stavropoulos, G. Pastras, K. Tzimanis, N. Bourlesas
Process window development of DED-LB/M process with coaxial wire for stainless steel AISI 316L
International Journal of Experimental Design and Process Optimisation· 2024DOI
P. Stavropoulos, H. Bikas, K. Tzimanis, N. Porevopoulos, A.N. Pilagatti, E. Atzeni, L. Iuliano, A. Salmi
Achieving resilience through reconfigurability: The role of digitisation for improved strategy and decision-making for EU manufacturing industries.
E. Bakopoulos, T. Timan, K. Alexopoulos
Co-axial IR Vision system for Real-time monitoring and L-DED Quality assurance via Deep Learning
Paul David Rosero Montalvo
Development of a geometry-driven manufacturability assessment tool for sheet metal parts
Michail Aggelos Terzakis, Christos Gerontas, Thanassis Souflas, Panagiotis Stavropoulos
Development of a tool for rapid manufacturability evaluation of sheet metal forming components
P. Stavropoulos, M. A. Terzakis, C. Gerontas, T. Souflas, C. Papaioannou
Forecasting Raw Material Price Volatility in SMEs: A Lightweight Hybrid Approach Using Open Data and Explainable Models
Beatriz Royo, Teresa de la Cruz
Multi-process laser head as reconfigurable tool to improve mechanical behaviour of automotive part
Eva Vaamonde Couso(AIMEN), Daniel Gesto Rodríguez(AIMEN), Adrián Pérez Menduiña(AIMEN) Horacio Carlos Nadale (GESTAMP), Joaquín Piccini(GESTAMP)
Operationalizing Supply Chain Digital Twins through Open-Source Simulation: A SimPy Approach for Resilience and Reconfigurability
Beatriz Royo, Teresa de la Cruz
Reconfigurable laser cell for laser-based processing in the automotive sector
Eva Vaamonde Couso(AIMEN), Adrián Pérez Menduiña(AIMEN) Horacio Carlos Nadale (GESTAMP), Joaquín Piccini(GESTAMP)
Reconfigurable laser head for laser-based processing in the automotive sector
Vaamonde, Eva (AIMEN); González, Andrés (AIMEN); Vallejo, David Diego (1); Pérez, Adrián (1); Piccini, Joaquin (GES); Nadale, Horacio Carlos (GES)
Deliverables (5)
Other Results (1)
Periodic Reporting for period 1 - R3GROUP (Reslient Rapid ReconfiGurable pROdUction Process chains)