Emergency logistics systems play a vital role in safeguarding lives and reducing disaster impacts. This paper studies a bi-level multi-objective location-routing problem for candidate emergency distribution centers (DCs), focusing on resilience. The government, as the upper-level decision-maker, determines the location of DCs to maximize disaster resilience, meets the needs of disaster victims, and minimizes total costs. Third-party logistics (3PL) providers, as the lower-level decision-makers, optimize distribution routes to maximize their profits. An improved NSGA-II algorithm is employed to solve the optimal strategy, and the validity of the proposed model and algorithm is verified through numerical experiments. It is hoped that this study can enrich research in the field of emergency logistics and provide theoretical reference for the development of current emergency logistics systems.

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Research on Location-Routing Problem for Emergency Logistics from the Perspective of Disaster Prevention and Resilience

  • Cuiying Feng,
  • Yuanyuan Zhan,
  • Man Qin,
  • Huanhuan Cao,
  • Ningwen Tu,
  • Thierry Yobouet Gnangoin

摘要

Emergency logistics systems play a vital role in safeguarding lives and reducing disaster impacts. This paper studies a bi-level multi-objective location-routing problem for candidate emergency distribution centers (DCs), focusing on resilience. The government, as the upper-level decision-maker, determines the location of DCs to maximize disaster resilience, meets the needs of disaster victims, and minimizes total costs. Third-party logistics (3PL) providers, as the lower-level decision-makers, optimize distribution routes to maximize their profits. An improved NSGA-II algorithm is employed to solve the optimal strategy, and the validity of the proposed model and algorithm is verified through numerical experiments. It is hoped that this study can enrich research in the field of emergency logistics and provide theoretical reference for the development of current emergency logistics systems.