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Collective Behavior in Queueing Networks: The Case of Post-disaster Debris Removal Operations David Mendona Industrial and Systems Engineering Department Cognitive Science Department Rensselaer Polytechnic Institute Supported by National Science Foundation Grant 1363513 (co-PI M. Grabowski, RPI).

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Study Objectives Explain debris removal team performance in terms of team composition under status quo incentive structure. Statistical analysis of teamwork Explore system performance via simulation of effects of different incentive structures and resource allocation strategies. Simulation-based analysis of system performance Study data: records of all debris loads hauled following 2011 Alabama tornado storms.

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