LISS 2012 pp 43-48 | Cite as

Multi-objective Emergency Logistics Vehicle Routing Problem: ‘Road Congestion’, ‘Unilateralism Time Window’

Conference paper


According to the different characteristics of the emergency logistics compared to the general logistics system, this paper has established a mathematical model of multi-objective emergency logistics vehicle routing problem on some conditions. The conditions consider the situation that roads are congested because of roads damaging and the urgency of time in Emergency Logistics System. And in the end of the paper, we use Genetic Algorithms to solve the problem. This model has its practical significance.


Emergency logistics Road congestion Unilateralism time window Vehicle routing problem Genetic algorithms 


  1. 1.
    Zhenya Zhao, Yiyuan Zhang, Xingkui Huang (2009) Particularity and countermeasures of emergency logistics. Res Logist Econ 03:58–61Google Scholar
  2. 2.
    Chou Ge, Chun Feng (2010) Research on VRP under emergency logistics management. Southwest Jiao tong University, ChengduGoogle Scholar
  3. 3.
    Simin Zhao, Sanyou Ji (2011) The network construction and routing optimization of grain emergency logistics system. Wuhan University of Technology, WuhanGoogle Scholar
  4. 4.
    Minhao Deng, Zhenhua Wen (2011) AHP-based route selection method for emergency logistics. Logist Eng Manag 33(3):93–95Google Scholar
  5. 5.
    Qian Lu, Xianliang Shi (2009) Research on road transport route choice in earthquake disaster emergency logistics system. Beijing Jiao tong University, BeijingGoogle Scholar
  6. 6.
    Keke (2011) Research on distribution path optimization of emergency logistics. Logist Eng Manag 33(7):63–65Google Scholar
  7. 7.
    Bing Zheng, Zujun Ma, Tao Fang (2009) Positioning – path problem of fuzzy multi-objective in emergency logistics system. Syst Eng 27(8):21–25Google Scholar
  8. 8.
    Qin Xu, Zhujun Ma, Huajun Li (2008) Research on LRP of urban public emergencies in emergency logistics, School Paper of Huazhong Science and Technology University, 1671-7023(2008)06-0036-05Google Scholar
  9. 9.
    Baker Barrie M, Ayechew MA (2003) A genetic algorithm for the vehicle routing problem. Comput Oper Res 30:787–800CrossRefGoogle Scholar
  10. 10.
    Jianqing Yuan (2011) Optimization algorithm and reviewed of vehicle routing. Softw Guide 10(7):60–61Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.School of Economics and ManagementBeijing Jiao tong UniversityBeijingChina

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