Emergency Distribution Scheduling with Maximizing Marginal Loss-Saving Function

  • Yiping Jiang
  • Lindu Zhao
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 10)


In this paper, we focus on the problem that reduces the loss of human lives and properties as much as possible in emergency response management. This problem is formulated as a combinatorial optimal problem of emergency resource allocation and distribution. Firstly we propose an exponential marginal loss-saving function as a decision-making tool to allocate the scarce emergency resource. Secondly, we propose an emergency distribution scheduling model through introducing time-space network, and then construct an integrated model that combined the marginal loss-saving function and time-space-based distribution model. Finally, we explore the optimal solution of this combinatorial problem through a numerical example. Our work in this paper can provide a tactical and operational method to allocate scarce emergency resource and make distribution scheduling for emergency response agencies.


Distribution Scheduling Maximizing Marginal Loss Saving Exponential Function Time-Space Network Emergency Response 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Yiping Jiang
    • 1
  • Lindu Zhao
    • 1
  1. 1.Institute of Systems EngineeringSoutheast UniversityNanjingChina

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