Mixed-collaborative distribution mode for emergency resources in an anti-bioterrorism system

Ming Liu, Lindu Zhao and Hans-Jurgen Sebastian

International Journal of Mathematics in Operational Research, 2011, vol. 3, issue 2, 148-169

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.

Keywords: emergency logistics networks; anti-bioterrorism systems; mixed-collaborative distribution; optimisation; bioterrorism; terrorism; anti-terrorism; forecasting models; emergency resources; epidemic diffusion rule; genetic algorithms; emergency management. (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (1)

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