Periodic Reporting for period 1 - RISE-SME (Resilient Industry Supply Chain Enhancement for SMEs)
Berichtszeitraum: 2024-01-01 bis 2025-06-30
Supply chain vulnerabilities threaten the very backbone of businesses, leaving companies exposed to disruptions that can have lasting effects. Recognising this pressing issue, the EU-funded RISE-SME project emerges as a beacon of innovation. This initiative seeks to empower small and medium enterprises (SMEs) by developing a robust model capable of detecting and anticipating disruptions in their supply chains. Specifically, project activities encompass mapping existing ecosystems and developing disruption detection methodologies, scouting advanced technologies, and fostering alliances between tech-savvy and traditional SMEs. With a consortium leveraging supply chain expertise and collaborating with key actors, RISE-SME ensures a comprehensive exploration of advanced technologies, from blockchain to AI, paving the way for adaptable and agile SME supply chains.
RISE-SME aims at developing a model that can assist companies in detecting and anticipating disruptions in their supply chains. The main outcome of RISE-SME is to build a methodology for different industrial ecosystems, that can identify disruptions and technological opportunities for the uptake of advanced technologies in SMEs, so as to enable flexible, agile and resilient supply chains that can easily be adapted. In order to do so, the following activities will be deployed:
Mapping of existing industrial ecosystems and its associated supply chain models, in order to identify critical dependencies and weaknesses in specific industrial ecosystem
Developing a methodology for detecting and anticipating disruptions with long term effects on the supply chain, to reduce strategic dependencies on critical products, especially on advanced technologies
Mapping and scouting advanced technologies and their associated solutions from technology suppliers that can help supply chain processes to be less uncertain and complex
Analysing existing technology gaps in several industrial ecosystems, leading to a matchmaking tool with tech-savvy and traditional SMEs
Building alliances among traditional and tech-savvy SMEs through cluster organisations and DIHs in the industrial ecosystem, resulting into the launch of a pilot in each one of the ecosystems.
The industrial ecosystems addressed by RISE-SME are: i) Agrifood, ii) Digital, iii) Mobility-Transport-Automotive and, iv) Textile.
RISE-SME aims at developing a model that can assist companies in detecting and anticipating disruptions in their supply chains. The main outcome of RISE-SME is to build a methodology for different industrial ecosystems, that can identify disruptions and technological opportunities for the uptake of advanced technologies in SMEs, so as to enable flexible, agile and resilient supply chains that can easily be adapted. In order to do so, the following activities will be deployed:
Mapping of existing industrial ecosystems and its associated supply chain models, in order to identify critical dependencies and weaknesses in specific industrial ecosystem
Developing a methodology for detecting and anticipating disruptions with long term effects on the supply chain, to reduce strategic dependencies on critical products, especially on advanced technologies
Mapping and scouting advanced technologies and their associated solutions from technology suppliers that can help supply chain processes to be less uncertain and complex
Analysing existing technology gaps in several industrial ecosystems, leading to a matchmaking tool with tech-savvy and traditional SMEs
Building alliances among traditional and tech-savvy SMEs through cluster organisations and DIHs in the industrial ecosystem, resulting into the launch of a pilot in each one of the ecosystems.
The industrial ecosystems addressed by RISE-SME are: i) Agrifood, ii) Digital, iii) Mobility-Transport-Automotive and, iv) Textile.
During the first reporting period, the Supply Chain Resilience Fit model was created. The concept of fit helps to understand how different strategic actions – activities, strategies, capabilities, business areas, among others – taken by SC actors are aligned with its ecosystem’s characteristics, thus leading to improvements in actors’ performance. Fit ends up in a “matching” perspective, linking context variables (inherent characteristics of ecosystems) with intervention variables (strategies and actions that can be adjusted by supply chain actors). In the Supply Chain Resilience Fit model, the context variables take the form of the resilience indicators and the critical factors, and intervention variables include supply chain design, supply chain strategies, as well as resilience capabilities.
This Supply Chain Resilience Fit model has been validated by the selected ecosystems – i.e. Digital, Textile, Agrifood and Mobility – Transport - Automotive, priorly characterized by the project, providing the mapping of identified risk-driven supply chain models to the targeted industrial ecosystems, while defining their drivers and challenges. It also encompasses the readiness and responsiveness of supply chains towards disruptive events and enhanced resilience.
Building upon this, RISE-SME has developed quantitative supply chain models focused on the four industrial ecosystems. The project has first developed a comprehensive methodology for the delimitation, selection, development, and further use of the supply chain models, as well as the actual development of the models and the implementation of detailed information in each one of the ecosystems.
RISE-SME proposes advanced technologies as the main enablers for acquiring resilience capabilities. Indeed, the project has identified up-and-coming technologies that can build supply chain resilience. Among others, advanced analytics, particularly AI-driven techniques, data spaces, digital twins, robotics, IoT, blockchain, AR/VR solutions, B2B digital platforms and edge computing are at the forefront of this transformation. This analysis has been followed by an impact assessment of digital technologies on supply chain resilience, introducing a structured methodology that combines scenario-based modelling, a multi-dimensional KPI framework, and simulations to evaluate how specific technologies can mitigate the effects of disruptions. Four disruption scenarios were defined (energy instability, cyber threats, geopolitical volatility, and social (human-centric) risks), each mapped to the ecosystem where its impact was most critical.
The insights generated in this first periodic report provide a foundation for future RISE-SME activities, where the focus will shift to identifying technological gaps, assessing resilience KPIs in greater depth, and creating alliances to increase technology adoption by SMEs. This work will support the development of a decision-support system that will enable SMEs to increase their supply chain resilience.
This Supply Chain Resilience Fit model has been validated by the selected ecosystems – i.e. Digital, Textile, Agrifood and Mobility – Transport - Automotive, priorly characterized by the project, providing the mapping of identified risk-driven supply chain models to the targeted industrial ecosystems, while defining their drivers and challenges. It also encompasses the readiness and responsiveness of supply chains towards disruptive events and enhanced resilience.
Building upon this, RISE-SME has developed quantitative supply chain models focused on the four industrial ecosystems. The project has first developed a comprehensive methodology for the delimitation, selection, development, and further use of the supply chain models, as well as the actual development of the models and the implementation of detailed information in each one of the ecosystems.
RISE-SME proposes advanced technologies as the main enablers for acquiring resilience capabilities. Indeed, the project has identified up-and-coming technologies that can build supply chain resilience. Among others, advanced analytics, particularly AI-driven techniques, data spaces, digital twins, robotics, IoT, blockchain, AR/VR solutions, B2B digital platforms and edge computing are at the forefront of this transformation. This analysis has been followed by an impact assessment of digital technologies on supply chain resilience, introducing a structured methodology that combines scenario-based modelling, a multi-dimensional KPI framework, and simulations to evaluate how specific technologies can mitigate the effects of disruptions. Four disruption scenarios were defined (energy instability, cyber threats, geopolitical volatility, and social (human-centric) risks), each mapped to the ecosystem where its impact was most critical.
The insights generated in this first periodic report provide a foundation for future RISE-SME activities, where the focus will shift to identifying technological gaps, assessing resilience KPIs in greater depth, and creating alliances to increase technology adoption by SMEs. This work will support the development of a decision-support system that will enable SMEs to increase their supply chain resilience.