Abstract：In the paper, we firstly find that the steel products warehouse-out of all the warehouses in the large-scale logistics base is characterized by burst and the warehouse-out inter-event time follow the power-law distribution with exponents close to 2.5. On the meanwhile, compared with the group behaviors, the individual behavior does not show the burst feature in logistics system. Further, we discuss the burst mechanism caused by the festival holidays and interior task scheduling. Finally, the paper uses the R/S method to analyze the amount of the warehouse-out and finds it obey fractional Brownian motion. The Hurst over 0.5 means that the present warehouse-out of the logistics base is not only affected by the market price, but also related to the amount of the past accumulated amount.
姚灿中. 物流系统出库行为动力学的统计特征分析[J]. 复杂系统与复杂性科学, 2014, 11(4): 80-86.
YAO Canzhong. The Study of Behavior Dynamics of Large Logistics System Based On Time Scaling Law[J]. Complex Systems and Complexity Science, 2014, 11(4): 80-86.
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