Scheduling algorithm based on follow-up sharing character for post-event response resource distribution in large-scal disasters

Post-event response planners must develop effective and efficient plans for the proper allocation and distribution of resources to impacted areas (IAs) within a critical time window. To determine the effectiveness and efficiency of distribution plans, this study addresses resource allocation effectiveness losses (RAEL, or losses caused by the mismatch between supply and demand in IAs) and emergency logistics time costs (ELTC, or transportation time of logistics processes under emergency conditions). Moreover, this study examines a follow-up sharing character (FSC) that coordinates resources among different phases. This research proposes an integrated model (IM) based on this character. This model aims to minimize RAEL and ELTC. Furthermore, the IM combines the time dimension model (TDM), which coordinates the demands and supplies of all phases in the planning horizon, and the space dimension model (SDM), which generates a specific distribution plan for the first phase. An analytical solution is obtained for the TDM as per the definition of FSC, after which the SDM is solved through a single-objective linear programming model. After solving the IM effectively, we find that the proposed methodology fits the emergency circumstance well. Insights derived from the model are also presented in the conclusion.)