Research On Emergency Cigarette Distribution Strategy In City C Based On The Impact Of Epidemic Situation

Transportation,transit,and distribution,as important components of supply chain logistics,directly determine the stability and reliability of the entire chain.Since the outbreak of the COVID-19 epidemic,especially in the period of closed-off management,the sorting and distribution capacity of the logistics center has been greatly hindered.The original logistics network and distribution process are no longer able to afford the material needs during the epidemic.This article proposes an improved inventory classification method and a temporary logistics network location model based on simulated annealing genetic algorithm from a practical perspective,and uses cigarette logistics in C city as an empirical object to verify the relevant algorithm solution.The detailed research content is as follows:(1)Research on the location selection of temporary delivery transfer points and logistics centers based on improved simulated annealing genetic algorithm.A mathematical model was constructed with the goal of logistics cost and time satisfaction,and a simulated annealing genetic algorithm was designed.A simulated annealing mechanism was embedded in traditional genetic algorithms to improve the probability of excellent genes being passed on to the next generation;Finally,taking the tobacco logistics distribution data of C city as an example,the algorithm proposed in this paper is compared and analyzed with other optimization algorithms to verify that the improved algorithm has a better site selection effect.(2)Research on Inventory Classification and Joint Delivery of Cigarette Products in Epidemic Delivery.To achieve the classification of distribution material inventory during the epidemic,this article divides materials from multiple levels;We constructed an inventory classification model based on ABC-CVA and proposed a common distribution strategy for the epidemic.We validated the rationality of inventory classification and the feasibility of distribution strategies using an emergency distribution example of cigarettes in C city.The effectiveness and superiority of the algorithm and strategy proposed in this paper can be demonstrated through relevant case analysis and example verification.