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Author (up) Hager, F.; Reuter-Oppermann, M.; Müller, T.; Ottenburger, S. pdf  doi
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  Title Towards the Design of a Simulation-based Decision Support System for Mass-Casualty Incidents Type Conference Article
  Year 2023 Publication Proceedings of the 20th International ISCRAM Conference Abbreviated Journal Iscram 2023  
  Volume Issue Pages 565-574  
  Keywords Mass-Casualty Incidents; Simulation, Multicriteria Decision Making  
  Abstract In case of a mass-casualty incident, e.g. due to a disaster, a high number of patients need medical care within a short time frame and often, a significant percentage must be transported to a hospital or another suitable care facility. Then, different mass transportation modes (e.g., busses, ships or trains) may be used to quickly transport patients to available medical treatment centres outside of the disaster area. Within the SimPaTrans project, we develop a simulation-based decision support system for locating, sizing and analysing different modes of transport in order to prepare for mass-casualty incidents in Germany. In this paper, we present the outline of the tool as well as a first optimisation use case for transportation patients within the city of Karlsruhe, Germany  
  Address Technical University of Darmstadt; Karlsruhe Institute of Technology  
  Corporate Author Thesis  
  Publisher University of Nebraska at Omaha Place of Publication Omaha, USA Editor Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi  
  Language English Summary Language Original Title  
  Series Editor Hosssein Baharmand Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition 1  
  ISSN ISBN Medium  
  Track Analytical Modeling and Simulation Expedition Conference  
  Notes http://dx.doi.org/10.59297/SUZB3855 Approved no  
  Call Number ISCRAM @ idladmin @ Serial 2547  
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