Dynamic features analysis for the large-scale logistics system warehouse-out operation

Can-Zhong Yao, Ji-Nan Lin, Xiao-Feng Liu and Xu-Zhou Zheng

Physica A: Statistical Mechanics and its Applications, 2014, vol. 415, issue C, 31-42

Abstract: In the paper, we research on the behavior dynamics for the large-scale logistics system warehouse-out operation systematically. First, we discover that steel products warehouse-out of different warehouses in a large-scale logistics system can be characterized by burst, and the warehouse-out inter-event time follows the power-law distribution with exponents close to α=2.5, which differs from the two classical models proposed by Barabasi (2005) and Vazquez (2005) respectively. By analyzing the warehouse-out inter-event time distribution of the products in one certain large-scale logistics system, we further discuss burst features and mechanisms of logistics system. Additionally, we find that in population behaviors, burst features can be explained by the priority that rooted in holidays and interior task scheduling. However, warehouse-out behaviors of active individuals do not show any features of burst.

Keywords: Power-law distribution; Burst; Logistics system; Warehouse-out (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:415:y:2014:i:c:p:31-42

DOI: 10.1016/j.physa.2014.07.077

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