| The frequent occurrence of various emergencies has seriously affected the safety of society and people’s lives and property,in order to effectively improve the response speed of emergency rescue activities and fit the real disaster scene,how to scientifically and effectively carry out the location selection-inventory decision of emergency material distribution center has become a key issue in emergency rescue.Among them,the resilience factors of emergency logistics system are the hot spots of current research,however,the resilience of emergency logistics system often has different presentation methods in different disaster relief stages.This paper mainly studies the resilience manifestations in the disaster preparedness stage and emergency response stage,so as to make the location-inventory decision-making of emergency material distribution centers more scientific and reasonable.Firstly,this paper considers the resilience of the emergency logistics system in the emergency preparedness stage,and constructs an emergency location-inventory optimization model considering the resilience of emergency facilities against the background of natural disasters in Henan Province in 2020.In order to improve the response speed of emergency rescue activities and fit the real disaster scene,the resilience and disaster prevention capabilities in the resilience index are adopted to characterize the heterogeneity of emergency material distribution centers,taking into account the idea of deteriorated inventory,and a dual-objective emergency location-inventory optimization model with the smallest total cost and the largest resilience value of the emergency logistics system is constructed based on nonlinear integer programming.The NSGA-II nondominated ranking genetic algorithm is designed to solve the model,and the analysis of examples shows that the decision-making scheme considering the resilience of emergency facilities is better than the decision-making scheme that does not consider the resilience of emergency facilities,and verify the feasibility of the model and algorithm,and then the sensitivity analysis of key parameters such as the number of sites,node resilience value,and node disaster prevention ability value constructed in the emergency site selection-inventory optimization model considering the resilience of emergency facilities is analyzed.Secondly,considering the resilience of the emergency logistics system in the emergency response stage,construct an emergency site selection-inventory optimization model considering the resilience of emergency rescue,select the level of emergency service quality to describe the resilience of emergency rescue in the emergency response stage,and construct an overall emergency logistics system based on nonlinear integer programming.A multi-objective emergency location-inventory optimization model with minimum cost,maximum toughness value,and optimal efficiency.Similarly,the NSGA-II non-dominated sorting genetic algorithm is designed to solve the constructed emergency location-inventory model considering the resilience of emergency rescue in the response stage,and the solution results are compared with the emergency location-inventory model without considering emergency rescue resilience and inventory cost.Through comparative analysis of the inventory models,it is concluded that the solution of the model in this chapter is better and the necessity of considering the inventoryrelated costs is considered.Then,the key points such as the number of locations and the coverage factor in the constructed emergency location-inventory optimization model considering the resilience of emergency rescue are analyzed.The parameters were subjected to a sensitivity analysis.Finally,the conclusions of this paper are scientifically summarized,and relevant management suggestions are put forward accordingly,which provides useful reference for decision-makers to formulate scientific and reasonable emergency plans and efficient emergency decisions. |
