Title :
Optimal model of emergency relief supplies distribution in anti-bioterrorism system
Author :
Zhao, Weina ; Han, Ruizhu
Author_Institution :
Inst. of Syst. Eng., Southeast Univ., Nanjing, China
Abstract :
In order to improve the material supply capacity and the time efficiency of emergency relief system when bio-terrorism attacks happen, combining with the laws of dangerous source diffusion and considering the coordination relationship between national and city level repository of rescue network with supply base preparation system, this paper studied the problem of optimal model of emergency relief supplies distribution in anti-bioterrorism system and thus established the model of rescue materials distribution with supply base preparation system, whose optimal objective is minimization of rescue economic costs and decision-making costs. Through the numerical simulation by computer, the model with supply base preparation system has been proved that it not only has a much better distribution strategy but also can improve the efficiency of rescue work and lower the economic costs.
Keywords :
biohazards; costing; emergency services; goods distribution; minimisation; supply chain management; terrorism; transportation; antibioterrorism system; bioterrorism attacks; city level repository; coordination relationship; decision making cost minimization; distribution strategy; emergency relief supply distribution; material supply capacity; national level repository; numerical simulation; optimal model; rescue economic cost minimization; rescue material distribution; rescue network; supply base preparation system; time efficiency; Biological materials; Bioterrorism; Clustering algorithms; Cost function; Diseases; Electronic mail; Logistics; Systems engineering and theory; Terrorism; Vehicles; Anti-bioterrorism; Emergency Logistics Network; Materials Distribution; Supply Base;
Conference_Titel :
Logistics Systems and Intelligent Management, 2010 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-7331-1
DOI :
10.1109/ICLSIM.2010.5461244