Vehicle Scheduling for Steel Logistics Based on Vehicle Batching

The vehicle scheduling in the logistics system of the steel park is a critical factor determining the scheduling efficiency and logistics throughput. The limited space resources at the entrance of the steel park make vehicles shall be arranged in reasonable batches to guarantee the scheduling consistency. To achieve the purpose, the paper first formulates the model of vehicle batching. Then, the algorithm CCVB (constrained clustering of vehicle batching) is proposed to solve the problem from a clustering perspective. Comparative experiments are carried out to verify the effectiveness of the proposed algorithm. The experimental results show that the proposed mechanism can sufficiently improve the scheduling efficiency of steel logistics under limited time and space resources.