Assess resilience
Develop a modular resilience assessment framework with regulatory requirements expressed through operational, financial and compliance indicators.
ReSolVe develops tools to help organisations choose viable supply-chain strategies as regulation, climate and markets change. The research connects disruption analysis with decisions about sourcing, inventory and network design, and tests these methods in Heineken’s packaging and brewing supply chains.
From seeing disruption
to deciding what comes next.
Supply chains have greater visibility than ever. Yet regulatory requirements, cascading risks and changing conditions are often assessed separately.
ReSolVe connects them in one planning framework, so organisations can compare responses across continuity, cost and compliance.
Explore the concept model
Understand exposure across the network.
Connect risk, regulation and trade-offs.
Inform sourcing, inventory and network design.
Changing conditions inform the resilience engine. It compares possible responses to support sourcing, inventory and network decisions. Select a condition to explore an example.

Continuity · cost · compliance
Scenarios that evolve over time
Strategies on shared measures
A new carbon-border requirement changes the exposure of materials and suppliers. The engine brings that constraint into the comparison of sourcing and network options.
Illustrative planning pathways. This explains the research model; it is not a live simulation.
Develop a modular resilience assessment framework with regulatory requirements expressed through operational, financial and compliance indicators.
Develop and validate a resilience engine integrating cascading risk propagation, dynamic scenarios and multi-objective optimisation.
Validate the framework in two Heineken pilots, using procurement and operations data from packaging and brewing supply chains.
Define adoption pathways and scalable reuse models, supported by open-access tools, regulatory templates and stakeholder engagement.
Can resilience be formalised as a computable design variable by integrating regulatory constraints and multidimensional KPIs into supply-chain planning models?
To what extent can adaptive planning engines simulate cascading and evolving disruptions across policy, climate and trade, and how do these simulations affect sourcing-strategy robustness?
Which institutional and operational factors affect the adoption and usability of resilience planning tools, and how can toolkits support scalable, policy-aligned deployment across sectors?
Develop the methods, test them in industry,
and make them usable across supply chains.
Connect regulatory requirements and disruption risks with the decisions organisations need to make.
Test the methods in Heineken’s packaging and brewing supply chains, using real procurement and operational data.
Translate the research into accessible tools, guidance and training for businesses of different sizes.
A modular methodology to quantify resilience trade-offs across operational, financial and regulatory dimensions. TU Delft and KPMG co-develop the framework; KPMG leads the work package.
Combine multi-criteria decision analysis and risk-propagation modelling. Define indicators and validate the methodology through practitioner consultation.
Classify CBAM, CRMA and CSDDD requirements by financial, operational and risk relevance. Integrate compliance pathways into resilience assessment.
Computational tools to simulate cascading disruptions, optimise interventions and compare strategies under evolving policy, climate and trade conditions.
Model disruption detection, propagation and intervention through multi-objective optimisation. Evaluate performance in virtual supply-chain testbeds.
Represent phased regulation, emissions targets and trade changes as time-evolving scenarios. Compare adaptive and static strategies.
Compare supplier diversification, network redesign and buffers using shared operational, financial and regulatory KPIs, with ESG validation.
Two Heineken pilots evaluate the tools using procurement and operational data, supported by a common validation framework and virtual stress tests.
Establish consistent experimental methods, resilience indicators and evaluation logic for real-world and virtual pilots.
Assess CBAM exposure, circularity requirements and aluminium supply volatility. Evaluate supplier-network redesign, adaptive sourcing and material substitution.
Assess water stress, barley and hops supply, and energy volatility. Evaluate water-efficient processes, renewable energy integration and climate-resilient sourcing.
Translate pilot results into adoption strategies, regulatory templates and tool formats suitable for corporate users and SMEs.
Evaluate financial returns, emissions and regulatory alignment. Develop a KPI dashboard for procurement and compliance reporting.
Assess transferability across sectors and develop regulatory templates, implementation roadmaps and Excel-based tool variants for SMEs.
Define deployment models, institutional responsibilities and post-project governance for tool maintenance and reuse.
Provide open-access knowledge transfer, stakeholder co-creation and monitoring of tool adoption across industry and public-sector users.
TU Delft will host tools, training materials, data, documentation and pilot case studies in reusable formats.
Organise workshops, expert forums and policy roundtables for practitioners, SMEs, compliance teams and public-sector users.
Track adoption, usability and barriers to implementation using platform analytics, stakeholder feedback and partner reporting.