Humanitarian Networks Planning Under Uncertainty: Palestine as a Case Study

01 October 2018 → 30 September 2024
Regional and community funding: Special Research Fund
Research disciplines
  • Natural sciences
    • Applied mathematics in specific fields
    • Statistics and numerical methods
  • Social sciences
    • Applied economics
    • Economic development, innovation, technological change and growth
Humanitarian networks planning Clearing Functions Discrete Event Simulation models
Project description

The challenge faced by humanitarian organizations and other relief agencies in the areas of armed conflicts is the unpredictable events that affect the supply of relief items to affected people in the shortest time with the least amount of resources. In the case of the Palestinian-Israeli conflict, the main source of uncertainty which restricts the supply of relief items is the multiple crossing points.This project aims to develop quantitative and simulation models that enable planners to optimize the flow of relief items throughout a humanitarian network in a manner that allows the completion of relief operations efficiently, while taking into account congestion effects and uncertainty in demand.