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1416. Towards Effective Assignment Decision-Making in Refugee Resettlement
Invited abstract in session TD-21: Complex societal problems, stream OR in Humanitarian Operations (HOpe).
Tuesday, 14:30-16:00Room: 49 (building: 116)
Authors (first author is the speaker)
| 1. | Jésica de Armas
|
| Universitat Pompeu Fabra | |
| 2. | Valérie Bélanger
|
| Logistics and Operations management, HEC Montréal | |
| 3. | Marie-Ève Rancourt
|
| HEC Montreal | |
| 4. | Gilbert Laporte
|
| HEC Montreal |
Abstract
The number of asylum applications in the European Union (EU) has significantly increased during the last years, highlighting the need for effective decision-making in the resettlement process. This research focuses on the refugee status, the most common outcome among asylum seekers, and the resettlement process that transfers refugees from an asylum country to a receiving country. Integration plays a crucial role in the success of resettlement, benefiting both refugees and receiving countries. Efforts from all parties, including refugees' adaptation and receiving communities' readiness, are necessary for successful integration. The National Integration Evaluation Mechanism project evaluates the integration outcomes of refugees in 15 EU member states, providing a comprehensive overview through a set of integration indicators. The priorities of receiving countries and the preferences of refugees also influence the assignment process. However, no comprehensive optimization framework exists that combines these dimensions for decision support. This study proposes a decision-making system that incorporates integration potential, receiving countries' priorities, and refugees' preferences, considering quotas and analyzing different scenarios. The system aims to aid organizations in making informed decisions and could be integrated into existing information systems. The research contributes to addressing the complex challenges of refugee resettlement and has potential societal impact.
Keywords
- Humanitarian Applications
- Complex Societal Problems
- Combinatorial Optimization
Status: accepted
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