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The authors computationally benchmark their heuristic with a procedure that is applied in practice. Results of the authors' study show that the Monte-Carlo heuristic is superior to the state-of-the art approach in terms of aggregated harm by up to 40%. However, the authors' simulations also reveal that the time their heuristic needs to process medium-sized instances (100 incidents, 50 rescue units) on a PC is a few hours and that more powerful real-time computing capabilities are required.<\/p>","DOI":"10.4018\/ijiscram.2013100104","type":"journal-article","created":{"date-parts":[[2014,6,6]],"date-time":"2014-06-06T14:12:09Z","timestamp":1402063929000},"page":"63-80","source":"Crossref","is-referenced-by-count":5,"title":["Assignments of Collaborative Rescue Units during Emergency Response"],"prefix":"10.4018","volume":"5","author":[{"given":"Felix","family":"Wex","sequence":"first","affiliation":[{"name":"Information Systems Research, University of Freiburg, Breisgau, Germany"}]},{"given":"Guido","family":"Schryen","sequence":"additional","affiliation":[{"name":"Information Systems Research, University of Regensburg, Breisgau, Germany"}]},{"given":"Dirk","family":"Neumann","sequence":"additional","affiliation":[{"name":"Information Systems Research, University of Freiburg, Breisgau, Germany"}]}],"member":"2432","reference":[{"key":"ijiscram.2013100104-0","unstructured":"Airy, G., Mullen, T., & Yen, J. 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