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The optimal allocation of casualties to hospitals in case of a mass-casualty incidence

Holsbrink, G.R.B. (2021) The optimal allocation of casualties to hospitals in case of a mass-casualty incidence.

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Abstract:Acute Zorg Euregio (AZE) is the designated emergency care network for the Dutch regions Twente and Oost-Achterhoek. In those regions, AZE monitors the level of emergency healthcare. During a mass casualties incident (MCI), treatment capabilities are overwhelmed by casualties. Acute Zorg Euregio (AZE) prepares their region for an MCI, for example, by organizing the Emergo Train System (ETS) exercises. In autumn 2019, two ETS exercises were conducted and simulated the allocation process of casualties to hospitals during an MCI. AZE wanted to know if a mathematical model can objectively allocate casualties to hospitals optimally using data from the ETS exercises of autumn 2019. In this thesis, we proposed an Integer Linear programming (ILP) that allocates each casualty of an MCI to a hospital. The performance of the ETS exercises was compared to the ILP model. Finally, different kinds of scenarios were conducted by adapting the base ILP model.
Item Type:Essay (Master)
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:58 process technology
Programme:Industrial Engineering and Management MSc (60029)
Link to this item:http://purl.utwente.nl/essays/85473
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