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

Author

Listed:
  • Yao, Can-Zhong
  • Lin, Ji-Nan
  • Liu, Xiao-Feng
  • Zheng, Xu-Zhou

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.

Suggested Citation

  • Yao, Can-Zhong & Lin, Ji-Nan & Liu, Xiao-Feng & Zheng, Xu-Zhou, 2014. "Dynamic features analysis for the large-scale logistics system warehouse-out operation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 415(C), pages 31-42.
    • Handle: RePEc:eee:phsmap:v:415:y:2014:i:c:p:31-42
    DOI: 10.1016/j.physa.2014.07.077
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    References listed on IDEAS

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    1. Yang, Yue & Yang, Huijie, 2008. "Complex network-based time series analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(5), pages 1381-1386.
    2. Wang, Qing & Guo, Jin-Li, 2010. "Human dynamics scaling characteristics for aerial inbound logistics operation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(10), pages 2127-2133.
    3. Albert-László Barabási, 2005. "The origin of bursts and heavy tails in human dynamics," Nature, Nature, vol. 435(7039), pages 207-211, May.
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    Cited by:

    1. Truong Ngoc Cuong & Le Ngoc Bao Long & Hwan-Seong Kim & Sam-Sang You, 2023. "Data analytics and throughput forecasting in port management systems against disruptions: a case study of Busan Port," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 25(1), pages 61-89, March.
    2. Yao, Can-Zhong & Lin, Ji-Nan & Zheng, Xu-Zhou & Liu, Xiao-Feng, 2015. "The study of RMB exchange rate complex networks based on fluctuation mode," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 359-376.
    3. Yao, Can-Zhong & Lin, Qing-Wen, 2017. "Recurrence plots analysis of the CNY exchange markets based on phase space reconstruction," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 584-596.
    4. Bo Yan & Chang Yan & Feng Long & Xing-Chao Tan, 2018. "Multi-objective optimization of electronic product goods location assignment in stereoscopic warehouse based on adaptive genetic algorithm," Journal of Intelligent Manufacturing, Springer, vol. 29(6), pages 1273-1285, August.
    5. Xu, Mingtao & Ye, Zhirui & Shan, Xiaofeng, 2016. "Modeling, analysis, and simulation of the co-development of road networks and vehicle ownership," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 442(C), pages 417-428.
    6. Yao, Can-Zhong & Lin, Ji-Nan & Zheng, Xu-Zhou, 2017. "Coupling detrended fluctuation analysis for multiple warehouse-out behavioral sequences," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 75-90.

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