  Hub location problems have multiple applications in logistic systems, airways
industry, supply chain network design, and telecommunication. In the hub
location problem, a number of nodes should be selected as the hub nodes to act
as the main distributors and other nodes are connected together by these hubs.
The input flow to the hub nodes is very large so more often we face the
congestion in the hub nodes that causes disturbances in the whole system. Also,
we have different service rates which is another cause of disturbance and
should be addressed by the models. This paper addresses these issues by
providing a model that prevents congestion in the system. We incorporated
queuing system in the p-median hub location problem by considering multiple
server options and different service rates. CAB dataset (contains 25 US cities)
was used in the implementation and our findings show the big impact of
considering congestion on the hub location network design.
