考虑满意度的轴辐式网络应急物资配送多目标模糊优化模型

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中图分类号：TP18；F252 文献标志码：A

A multi-objective fuzzy optimization model for emergency supplies distribution in hub-and-spoke network considering satisfaction

HUO Liang'an1²2， QIAN Tiansheng1 （1. Business School， University of Shanghai for Science and Technology， Shanghai 2Ooo93， China; 2.SchoolofIntellgentEmergencyManagement，UniversityofSanghaiforcienceandTechnologyhanghai2o3，China）

Abstract： In response to the problem of how to measure the satisfaction of disaster victims in the emergency supplies distribution after disasters， this study comprehensively considered both time and supplies satisfaction. By leveraging general fuzzy numbers and trapezoidal fuzzy numbers to represent the uncertainties in emergency relief supplies arival quantities and delivery times， a multi-objective fuzzy optimization model under the hub-and-spoke network framework was constructed. The model simultaneously pursues three objectives： maximizing satisfaction， minimizing costs and maximizing coverage. An improved greedy algorithm was developed to solve the proposed model. The results demonstrate that the hub-and-spoke network-based multi-objective fuzzy optimization model can maximize comprehensive satisfaction while minimizing emergency costs， and meeting basic requirements for emergency supplies quantities and timeliness. Finally， taking the flood disasters in Fujian Province in 2023 as the case background， the improved model and algorithm were applied to simulate the emergency supplies distribution problem in 9 prefecture-level cities， so as to ensure that the needs of each disaster-stricken site were met to the greatest extent， thus verifying the feasibility of the model.

Keywords： emergency supplies distribution; satisfaction; hub-and-spoke network; improved greedy algorithm; emergency

随着灾害与公共卫生事件频发，应急物资的配送问题因涉及灾民满意度、交通便利性和供应链效率等多重因素，需要科学规划以实现运输效率与响应时效的双重提升。（剩余11633字）