Research On Emergency LRP-material Scheduling Problem Based On Multi-objective Programming And DEA

The outbreak of COVID-19 in December 2019 is another major public health emergency in China in recent years.Because of its rapid transmission and wide range of infection,it has caused a huge impact on China’s economic development.Due to the sudden and particularity of the epidemic,there is a large shortage of relief materials and the applicability of emergency response strategies is reduced,which greatly reduces the speed of rescue response and makes the victims suffer the double test of psychology and physiology.At the same time,with the development and change of the epidemic situation,the initial emergency management decision-making scheme can not be applied all the time.Therefore,ensuring the rationality,fairness and timeliness of the emergency plan is of great significance to protect people’s health and safety and reduce the losses of the state and society.This paper studies the emergency management decision-making after the occurrence of general and highly infectious public health emergencies from the aspects of the imbalance between the supply and demand of various materials and the fairness of distribution,vehicle transportation capacity,the capacity of distribution center,the psychological perception satisfaction of victims and the impact of the law of epidemic spread on emergency decision-making.After the outbreak,first of all,considering the characteristics of strong infectivity of the epidemic,its emergency management decision-making scheme also needs to be adjusted at any time.Therefore,SEIRD system dynamics model is introduced to predict the development of the epidemic.Considering that when making specific emergency decisions,it is necessary to locate the distribution center and demand points and dispatch rescue materials,a two-stage emergency LRP material scheduling model considering demand prediction is established,which takes the maximum time satisfaction and demand satisfaction as the upper goal and the minimum transportation distance and total system cost as the lower goal;Secondly,since the emergency LRP material scheduling problem is a large-scale NP-hard problem,a hybrid genetic simulated annealing algorithm based on heuristic rules is designed,in which the construction method of the initial solution and the neighborhood search strategy are improved;At the same time,considering multiple objectives in combination with the actual situation,we can only get the optimization solution with different weight preferences,which has great subjectivity.Therefore,in this study,the cross efficiency DEA evaluation method is applied to multi-objective programming to achieve the objective evaluation of multi-objective programming problems,so as to obtain a set of scientific and reasonable emergency LRP scheduling scheme;Thirdly,in order to verify the rationality and effectiveness of the proposed model and algorithm,two examples are used for simulation experiments.The results show that the algorithm can accelerate the convergence speed and has strong robustness;Finally,taking the epidemic data of Wuhan in February 2020 and the epidemic data of Hubei Province from January to March 2020 as the research object,the location and material scheduling scheme of distribution center and demand point are solved,which provides a theoretical and practical reference for government departments to make scientific and reasonable emergency decision-making in practice.