A Study of Order Consolidation Issues in Network Freight Scenarios
To solve the problem of network freight order integration, the integration process is divided into two stages. First, the order preprocessing stage categorises orders by demand and destination. Subsequently, according to the principles of single-vehicle optimisation and all-vehicle optimisation, an integration model containing the in-tegrated full load rate, yield rate, and integrated matching rate is established. It is solved by genetic algorithm and validated using actual data of a network freight company. The results show that when the single-vehicle optimisa-tion is the goal, the indicators of the single-vehicle are significantly improved, and the utilisation rate of the single-vehicle is obviously increased. And when taking the optimal of all vehicles as the goal, the parameters of each vehi-cle are highly balanced, and the optimisation and balance of vehicle allocation is achieved.
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维普
