Facility Location and Emergency Management
Humanitarian logistics and disaster relief operations research examines how organizations position resources, facilities, and supply chains before and during crises to reduce harm when every hour counts. Deciding where to pre-place warehouses, medical supplies, or personnel involves deep uncertainty—disasters strike unpredictably, infrastructure fails, and demand surges in ways that standard planning tools handle poorly—so researchers have turned to stochastic programming and reliability models to build plans that hold up under a range of possible scenarios. A central tension in the literature is balancing cost efficiency against system resilience: a leaner, optimized network may collapse under the precise conditions it was never designed for. Active work is pushing toward better coordination mechanisms across the multiple agencies that respond to any major disaster, and toward models that can incorporate real-time data as a crisis unfolds rather than relying solely on pre-event assumptions.
- Works
- 25,911
- Total citations
- 390,817
- Keywords
- Humanitarian LogisticsDisaster ReliefSupply Chain ManagementFacility LocationEmergency Logistics PlanningOptimization Models
Top papers in Facility Location and Emergency Management
Ordered by total citation count.
- Qualitative data analysis (2nd ed)↗ 5,610
- Algorithms for the Assignment and Transportation Problems↗ 3,959
- THE MAXIMAL COVERING LOCATION PROBLEM↗ 1,956
- Modifiable Areal Unit Problem↗ 1,903
- Facility location and supply chain management – A review↗ 1,888
- The Location of Emergency Service Facilities↗ 1,824
- On the shape of a set of points in the plane↗ 1,815
- The maximal covering location problem↗ 1,764
- Humanitarian aid logistics: supply chain management in high gear↗ 1,752
- OR/MS research in disaster operations management↗ 1,597OA
- Two algorithms for constructing a Delaunay triangulation↗ 1,564
- Strategic facility location: A review↗ 1,366
Active researchers
Top authors in this area, ranked by h-index.