In this research,optimization models for air freight forwarders that considers renting air containers and assigning cargos to containers are proposed with the objective to minimize total operating cost.The transportat...In this research,optimization models for air freight forwarders that considers renting air containers and assigning cargos to containers are proposed with the objective to minimize total operating cost.The transportation network consists of an intermediate hub which is used for unloading and sorting cargos before the delivery to destinations.The models provide operational decision at both regions and hub.The proposed models are formulated based on the cargo demand information provided by the forwarders’customers.The models are applicable for air freight forwarders to plan their bookings with airlines with either regular shipment or irregular demand of cargos during peak season.The proposed models take into account constraints related to weight and volume limits of containers and also on constraints related to available containers.The computational results show that the proposed models can be used for practical air cargo planning.A two-phase method is also proposed in order to generate solutions for large instance data sets.The obtained results from the paper also suggest new research directions in this field.展开更多
基金This work was supported by an SIIT Young Researcher Grant under Contract No.SIIT 2015-YRG01。
文摘In this research,optimization models for air freight forwarders that considers renting air containers and assigning cargos to containers are proposed with the objective to minimize total operating cost.The transportation network consists of an intermediate hub which is used for unloading and sorting cargos before the delivery to destinations.The models provide operational decision at both regions and hub.The proposed models are formulated based on the cargo demand information provided by the forwarders’customers.The models are applicable for air freight forwarders to plan their bookings with airlines with either regular shipment or irregular demand of cargos during peak season.The proposed models take into account constraints related to weight and volume limits of containers and also on constraints related to available containers.The computational results show that the proposed models can be used for practical air cargo planning.A two-phase method is also proposed in order to generate solutions for large instance data sets.The obtained results from the paper also suggest new research directions in this field.
