考慮滿意度的軸輻式網(wǎng)絡(luò)應(yīng)急物資配送多目標模糊優(yōu)化模型

打開文本圖片集

中圖分類號：TP18；F252 文獻標志碼：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

隨著災害與公共衛(wèi)生事件頻發(fā)，應(yīng)急物資的配送問題因涉及災民滿意度、交通便利性和供應(yīng)鏈效率等多重因素，需要科學規(guī)劃以實現(xiàn)運輸效率與響應(yīng)時效的雙重提升。（剩余11633字）