Mixed Distribution Mode for Emergency Resources in Anti-bioterrorism System
- 425 Downloads
In this chapter, we construct a unique forecasting model for the demand of emergency resources based on the epidemic diffusion rule when suffering a bioterror attack. In what follows, we focus on how to deliver emergency resources to the epidemic areas. We find that both the pure point-to-point delivery mode and the pure multi-depot, multiple traveling salesmen delivery system are difficult to operate in an actual emergency situation. Thus, we propose a mixed-collaborative distribution mode, which can equilibrate the contradiction between these two pure modes. A special time window for the mixed-collaborative mode is designed. A genetic algorithm is adopted to solve the optimization model. To verify the validity and the feasibility of the mixed-collaborative mode, we compare it with these two pure distribution modes from both aspects of total distance and timeliness.
- 7.Liu M, Zhao LD. Optimization of the emergency materials distribution network with time windows in anti-bioterrorism system. Int J Innovative Comput Inf Control. 2009;5(11):3615–24.Google Scholar
- 11.Kaplan EH, Craft DL, Wein LM. Analyzing bioterror response logistics: the case of smallpox. Math Biosci. 2003;185(1):33–72.Google Scholar
- 15.Xu XJ, Peng HO, Wang XM, et al. Epidemic spreading with time delay in complex networks. Physica A. 2005;367(C):525–30.Google Scholar
- 20.Yi W, Kumar A. Ant colony optimization for disaster relief operations. Transp Res Part E Logistics Transp Rev. 2007;43(6):0–672.Google Scholar