Research On Online Order Distribution Model Of Fast Food Chain Enterprises

With the progress of information technology and the acceleration of people’s work and life rhythm,the fast food e-commerce develops vigorously.Fast food distribution is one of the key issues,there are two types of decentralized and centralized.The research background is a breeding,sale and fast development of Chinese fast food enterprises,the development of electronic commerce,the centralized distribution mode,the electronic commerce center will be allocated to the online order fast food stores,and then the distribution of stores to customers.This paper constructed the distribution cost,delivery time,favorable rate,store load balancing of multi objective optimization model for the target,the store capacity limit,delivery time limit,orders cannot be repeated allocation constraints is considered,a fuzzy compromise programming algorithm design.The weight of the optimization objective is determined by the trapezoidal fuzzy number of linguistic variables.In order to verify the validity of the model,the simulation experiment is caTRied out on the Lingo platform.This paper mainly discusses the following situations: order assignment of multi-objective optimization,order allocation of single objective optimization,order allocation in road congestion.The results of these orders are analyzed and compared.A practical example is given to verify the e TFectiveness of the proposed model and algorithm.The results show that the multi-objective optimization model is better than the single objective model,and the influence of road congestion on the model is also considered.Based on the experimental results,the paper gives some e TFective suggestions on the order allocation of chain fast food enterprises.