Coordination of European Research on Industrial Safety towards Smart and Sustainable Growth
Industrial organisations faced unprecedented operational constraints during the first and second waves of the COVID-19 pandemic, affecting both manufacturing and process sectors. The pandemic created emerging risks that challenged conventional risk management and business continuity practices, highlighting the need to strengthen organisational resilience. However, resilience assessment remains inconsistently applied across sectors, and organisations often lack practical indicators and models to monitor adaptive capacity and identify precursors of accidents or near misses under pandemic-like conditions. Existing approaches typically do not combine structured resilience checklists, survey-based evidence and data-driven modelling to support dynamic safety management across sectors. RESMOD addresses these gaps by developing a conceptual and systemic resilience model supported by resilience indicators, aiming to enhance organisational resilience evaluation and support decision-making and risk management during large-scale disruptive events.
The project investigates how organisational resilience can be evaluated across different industrial sectors based on empirical experience from pandemic waves. It examines how an organisational resilience checklist and sector-tailored questionnaires can be designed to capture relevant lessons learned, including operational and organisational management practices and opportunities for inherent safe design measures for pandemic risk reduction. Another research question concerns how data collected from pilot case studies can be analysed to identify patterns and to develop a Systemic Resilience Model capable of highlighting significant precursors of accidents or near misses under pandemic conditions. The project also explores how resilience indicators can support dynamic decision-making within risk management processes and how the resulting approach can be translated into actionable guidance for capacity building and adaptive response.
RESMOD will deliver an organisational resilience assessment methodology, including a resilience checklist, structured questionnaire and cross-sector case study evidence. It will produce a data-driven Systemic Resilience Model supporting identification of accident precursors and near-miss conditions under pandemic constraints. Outputs include a set of resilience indicators to support decision-making, business continuity and adaptive capacity building, as well as recommendations on how organisations can integrate resilience assessment into their risk management processes for future disruptive events.
The project workplan is organised into five interlinked work packages. - WP1 – Project management: ensures coordination, reporting and quality assurance. - WP2 – Modelling of hazardous releases: develops models for accidental release scenarios. - WP3 – Experimental validation: validates models through experiments and data analysis. - WP4 – Risk assessment application: applies models to support decision-making and prevention. - WP5 – Dissemination: supports communication and uptake of results.
VUBP
Czech Republic
