Abstract

Hub location-allocation problem is a key issue to affect the time and cost of intermodal logistics, and directly affects the interests of the carriers and customers. In the case of hub location-allocation problem in intermodal logistics networks, this paper uses graph theory to describe intermodal logistics networks based on different modes of transport and develops a multi-objective optimization model which encompasses the logistics cost, service time and transportation risks. This model can be transformed through the main target method and uses LINGO software to test and verify.

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