ABE Takumi, a fourth-year student in the Department of Network Design, School of Interdisciplinary Mathematical Sciences, received the Excellent Paper Presentation Award at the 2023 National Conference of the Institute of Electrical Engineers of Japan. The Excellent Paper Presentation Award is given to young researchers aged 35 and under who presented excellent papers at the National Conference of the Institute of Electrical Engineers of Japan.
Under the title of "Optimum Logistics Considering Optimal Placement and Delivery Area of Secondary Collection Points at Disaster - Parameter Sensitivity Analysis of Parallel Improved RTS -," ABE made a presentation on a system to deliver relief supplies to evacuation centers quickly and fairly in the event of a disaster.
Award-winning paper: ABE Takumi, ONODA Sara, FUKUYAMA Yoshikazu: "Optimum Logistics Considering Optimal Placement and Delivery Area of Secondary Collection Points at Disaster - Parameter Sensitivity Analysis of Parallel Improved RTS -," National Conference of the Institute of Electrical Engineers of Japan, 4-163, March 15, 2023
Emergency relief supplies logistics is a system to deliver relief supplies to evacuation centers quickly and fairly in the event of a disaster. In recent years, large-scale disasters such as typhoons and earthquakes have occurred throughout Japan. Emergency relief supplies logistics has become a matter involving human lives and should be considered in advance by each local government in preparation for emergency. To solve the matter of emergency relief supplies logistics, it is necessary to optimize in an integrated manner the optimal number of secondary collection points determined for each city, the optimal placement of each secondary collection point, the optimal distribution area of each secondary collection point, and the optimal distribution plan within each area. The authors proposed a method to optimize the four elements in an integrated manner using a parallel improved reactive tabu search. In the paper, parameter sensitivity analysis, such as the case where the number of trucks is changed in this method, was carried out using the data which Chiba City plans to use at the time of disaster.
≪
Japanese version≫
