Collective Behavior in Queueing Networks: The Case of Post-disaster Debris Removal Operations David...
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Collective Behavior in Queueing Networks: The Case of Post-disaster Debris Removal Operations David Mendonça Industrial and Systems Engineering Department
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.