Research on Distribution Optimization of Emergency Perishable Materials Considering Periodic Changes in Freshness

The distribution of emergency perishable materials is crucial for rescue operations in disaster-stricken areas. However, the freshness these changes over time, affecting quantity that can be distributed to demand points at different stages. To address this issue, paper proposes a novel approach. Firstly, piecewise function constructed describe impact on quality and time Secondly, establishes vehicle optimization model with goal maximizing sum all delivered disaster-affected locations, taking into account minimum constraints same kind locations. Thirdly, an approximate algorithm designed solve model, complexity upper lower bounds ratio analyzed. Finally, example analysis conducted demonstrate validity proposed algorithm.