Dynamic allocation of entities in closed queueing networks: An application to debris removal

This work describes a novel method for allocating entities to routes in a closed queueing network to maximize system throughput. Results are presented which compare this method with known prior work and known optimal solutions to provide an empirical optimality gap. Further, because the system of interest, debris removal following natural disasters, is under the control of rational agents, optimality conditions are derived in order to determine to efficacy of a flat market context in inducing optimal behavior.