Management Review ›› 2023, Vol. 35 ›› Issue (9): 252-261.

• Logistics and Supply Chain Management • Previous Articles     Next Articles

A Material Dispatch Optimization Model of Port Groups under Emergency Conditions

Liu Kui1,2, Li Dengyuhui1,3   

  1. 1. School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190;
    2. Unit 92228 of PLA, Beijing 102442;
    3. School of Emergency Management Science and Engineering, University of Chinese Academy of Sciences, Beijing 100049
  • Received:2021-08-12 Online:2023-09-28 Published:2023-10-31

Abstract: Due to the vast sea area and adverse living conditions, when a natural disaster occurs in a sea area, the demand for emergency supplies is often urgent, numerous and in excess of the capacity of a single port. To solve the emergency material dispatching problem of port groups, a bi-objective programming model considering transportation cost and task completion ratio is proposed. And a Non-dominated Sorting Genetic Algorithm-II (NSGA-II) is designed. A numerical experiment is provided based on the data from the South China Sea, and the robustness of solutions under stochastic and deterministic scenarios is analyzed with different performance in terms of the probability of being affected by disasters. The findings are beneficial for emergency management of port groups in case of natural disasters.

Key words: emergency logistics, material dispatch, bi-objective programming, port group, NSGA-II