A Model-Driven Decision Support System for Aid in a Natural Disaster
Abstract
This article deals with the architecture of a support system for helping decision makers in optimizing aid distribution during natural disaster situations. In such type of events, one of the critical tasks is the transportation of staff, people, food and medicines. Given the complexity of the operations scheduling, the article proposes a model-driven decision support system with an embedded module for solving a vehicle routing problem.
Más información
| Título de la Revista: | Advances in Intelligent Systems and Computing |
| Volumen: | 1026 |
| Editorial: | Springer |
| Fecha de publicación: | 2020 |
| Página de inicio: | 523 |
| Página final: | 528 |
| Idioma: | English |
| DOI: |
10.1007/978-3-030-27928-8_79 |