Mixed-collaborative distribution mode for emergency resources in an anti-bioterrorism system
by Ming Liu, Lindu Zhao, Hans-Jurgen Sebastian
International Journal of Mathematics in Operational Research (IJMOR), Vol. 3, No. 2, 2011

Abstract: In this paper, a unique forecasting model for the demand of emergency resources based on epidemic diffusion rule is constructed. We find that both the pure point-to-point delivery mode (PTP) and the pure multi-depot, multiple travelling salesmen delivery system (MMTS) 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 such a mixed-collaborative mode is designed. A Genetic Algorithm (GA) is adopted to solve the optimisation model. At last, we compare it with these two pure distribution modes from both aspects of total distance and timeliness.

Online publication date: Thu, 12-Feb-2015

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