Resource Allocation & Supply-Chain Logistics Mathematics Team
Applying mathematical optimization to humanitarian supply chains and resource allocation for maximum operational impact.
Research Mission
The Resource Allocation & Supply-Chain Logistics Mathematics Team applies mathematical optimization, network analysis, and simulation to humanitarian supply chain design, resource allocation, and logistics planning — maximizing the impact of limited resources in disaster response and humanitarian operations. The team develops models and algorithms that optimize pre-positioning of supplies, last-mile delivery routing, multi-agency resource sharing, and dynamic reallocation as operational conditions evolve.
Key Research Functions
Supply Chain Design
Designing optimal humanitarian supply chain networks — determining warehouse locations, stock levels, and distribution routes that minimize response time and cost while ensuring adequate coverage across potential disaster scenarios.
Dynamic Reallocation
Developing algorithms for dynamic resource reallocation as disaster situations evolve — continuously re-optimizing the distribution of supplies, personnel, and equipment in response to changing needs and operational conditions.
Multi-Agency Coordination
Building mathematical frameworks for multi-agency resource sharing and coordination — enabling different humanitarian organizations to pool resources, avoid duplication, and collectively optimize coverage across affected populations.
Research Capabilities
Directorate of Advanced Research & Applied Sciences
Join This Research Unit
Pacific 7.0 International recruits scientists, engineers, and researchers committed to advancing knowledge in service of global security and humanitarian protection.