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

Author

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  • Ming Liu
  • Lindu Zhao
  • Hans-Jurgen Sebastian

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.

Suggested Citation

  • Ming Liu & Lindu Zhao & Hans-Jurgen Sebastian, 2011. "Mixed-collaborative distribution mode for emergency resources in an anti-bioterrorism system," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 3(2), pages 148-169.
    • Handle: RePEc:ids:ijmore:v:3:y:2011:i:2:p:148-169
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    Cited by:

    1. Ubaid Illahi & Mohammad Shafi Mir, 2021. "Maintaining efficient logistics and supply chain management operations during and after coronavirus (COVID-19) pandemic: learning from the past experiences," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(8), pages 11157-11178, August.

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