Research On Emergency Logistics Resource Allocation Considering Uncertainty Factors And Distribution Priority

The major epidemic in recent years has seriously affected our daily life and economic development.Because of the epidemic’s long duration and rapid spread of the outbreak,there are many uncertainties in the emergency rescue process.At the stage of an epidemic outbreak,there is often a tremendous demand for emergency resources,and it is challenging to meet all demand points with limited resources,and posing higher requirements for national emergency prevention and control work.Therefore,it is necessary to consider the uncertainty in the process of emergency rescue and allocate emergency resources fairly,quickly,and reasonably,which is of great significance to halting the transmission of the epidemic,protecting the lives and health of the people,and reducing economic losses.This paper conducts research on the allocation of emergency logistics resources under the background of sudden epidemics,comprehensively considers factors such as demand uncertainty and distribution priority of each demand point,selects an open and appropriate distribution center in each decision-making cycle,and quickly and reasonably allocates emergency resources to each demand point.Firstly establish the allocation priority evaluation index system of emergency material demand points,select the epidemic spread risk,epidemic response-ability,and epidemic severity as the first-level indicators,and then select the secondlevel indicators to build the allocation priority evaluation index system.The AHP method acquires the subjective weight,the entropy weight method acquires the objective weight,and the comprehensive weight is determined by game theory.The allocation priority of each demand point in each decision cycle is determined using the improved TOPSIS method based on grey relational analysis.Based on this,the queuing and loading order of the material allocation of each demand point in the following model is determined to prioritise meeting the material needs of the demand points with the relatively severe epidemic situation and high allocation priority.Secondly,to minimize the sum of the product of the priority of distribution of demand points and the rate of unsatisfied materials,the total time and total cost of emergency resource allocation,and taking into account the three-level allocation network of emergency materials with multiple supply points,multiple distribution centers and multiple demand points,a deterministic model of emergency logistics resource allocation with multiple cycles,multiple types of materials and multiple objectives considering the priority of distribution is constructed,taking into account the uncertainty of demand in the process of emergency rescue.The robust optimization theory is used to deal with the uncertain demand in the model.Based on the deterministic model,a robust optimization model of emergency logistics resource allocation considering uncertain factors and allocation priorities is constructed,and based on Bertsimas &Sim’s robust optimization method and Ben-Tal & Nemirovski robust optimization method,and designed the NSGA-Ⅱ algorithm that conforms to this paper to solve the model.Finally,COVID-19 in Hubei Province in 2020 is taken as an example to analyze the emergency logistics resource allocation model established in this paper,which takes into account uncertainties and allocation priorities and contrast the solution results to verify the validity of this model.The research shows that the model can make effective decisions on the location of distribution centers and the reasonable distribution of materials in each decision-making cycle according to the actual situation of the epidemic situation,reduce the risk of epidemic spread,improve the satisfaction of the masses,and reduce the cost of emergency rescue.