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3995. Efficient and equitable transportation of casualties by Online Optimization in mass casualty incidents
Invited abstract in session TC-21: Efficiency, equity and fairness in humanitarian operations, stream OR in Humanitarian Operations (HOpe).
Tuesday, 12:30-14:00Room: 49 (building: 116)
Authors (first author is the speaker)
| 1. | Fatemeh Zare Bidaki
|
| Business administration, Koc university | |
| 2. | Davood Shiri
|
| Operations Management and Decision Sciences, The University of Sheffield | |
| 3. | Sibel Salman
|
| Industrial Engineering, Koc University |
Abstract
After a mass casualty incident, numerous victims endure severe injuries with different chances of survival, requiring timely rescue operations and prioritization in transportation. We develop a Mixed-Integer Linear Programming (MILP) model for a multi-period routing and scheduling problem for a heterogeneous rescue fleet with the objective of maximizing the expected number of survivors. Recognizing the uncertainties inherent in such situations, such as fluctuations in the victim population and their conditions over time, we propose an online optimization algorithm. This allows for real-time adjustments to the rescue operations based on incoming data. Our framework favors equity in healthcare service delivery through various fairness metrics. Validation of proposed approaches is achieved through computational tests and offline comparisons with real-world scenarios.
Keywords
- Humanitarian Applications
- Transportation
- Vehicle Routing
Status: accepted
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