Authors: Ming Liu, Lindu Zhao
Addresses: Institute of Systems Engineering, Southeast University, Nanjing, 211189, China; Deutsche Post Chair of Optimization of Distribution Networks, RWTH Aachen University, 52062 Aachen, Germany. ' Institute of Systems Engineering, Southeast University, Nanjing, 210096, China
Abstract: Unlike logistics management in which all the activities are triggered based on customer orders, emergency logistics network in an anti-bioterrorism system is triggered based on the epidemic diffusion network. The first important step for efficient emergency rescue is to depict the time-varying demand for emergency resources. In this article, two different epidemic diffusion models (SIQRS, SEIQRS) are analysed based on a small-world network. Thus, threshold of the epidemic diffusion and key parameters for controlling the epidemic diffusion are obtained. Then we propose a time-varying forecasting model for the demand for emergency resources in the epidemic area and we decompose the entire emergency rescue process into three mutually correlated substages. To each substage, we present a corresponding suggestion for emergency distribution based on the dynamic demand rule. Generally, these works can provide some guidelines for decision makers when coping with emergency rescue problems pertinent to bioterrorism.
Keywords: anti-bioterrorism; epidemic diffusion models; small-world networks; mathematical modelling; emergency demand; bioterrorism; anti-terrorism; emergency logistics networks; emergency rescue; emergency response; emergency management; demand prediction; emergency resources.
International Journal of Mathematical Modelling and Numerical Optimisation, 2011 Vol.2 No.1, pp.51 - 68
Published online: 30 Nov 2010 *Full-text access for editors Access for subscribers Purchase this article Comment on this article