| Autor: |
Samir Chafik, Abderrahmane Ben Kacem, Oualid Kamach |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
2019 International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA). |
| Popis: |
This paper describes a hybrid approach to size the hospital resources in the cases of a massive influx of victims generated by a disaster situation (natural or made man disaster). This suggested approach based on the genetic algorithm is a blending between the simulation (ARENA) and machine learning (Neural Networks). The first one produces a matrix of theoretical solutions and the second one contributes a solution based on the feedback on experiences. This method provided a reliable and efficient solution based on available resources and on a solutions applied in real cases. The result shows that the genetic algorithm provided a new solution that improves the solutions got by the simulation. Also we made an application as a decision support tool for hospital decision-makers to provide with the needs of resources in the same cases. This work is being carried out in collaboration with the Mohammed 5 hospital center in Casablanca (Morocco). |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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