With the advent of the "Internet +" era,the catering industry began to use the co mputer and information technology to study industrial transformation and upgrade,and the smart catering system came into being.At present,the application research of the existing smart catering system mainly focuses on the recommendation of dishes,the a nalysis of healthy diet and the unmanned sales of dishes,and it is almost blank in th e control of food stocks.The control of food stocks is an extremely important part of the resource management of catering enterprises.Based on this,this paper studies the enterprise inventory control,summarizes the existing inventory control strategy,and a dopts the popular JIT inventory control method to propose a smart catering model bas ed on the control of food inventory.The model predicts the sales volume of the dishe s through the historical sales data of the dishes,and generates the ingredients procure ment and the food preparation plan according to the predicted results,so that the ingr edients can be “synchronized in and out”,the ingredients are discharged into the ware house to achieve dynamic balance,and the “zero inventory” management of the ingred ients is realized.In order to verify the feasibility of the theory and practice of the model,this pap er has done a lot of work.First,research on catering enterprises,focusing on the anal ysis of the key links of the JIT inventory control strategy(food supply and demand c hain management process),the architecture and functional design of the smart catering system.Then,the intelligent forecasting model of foodstuff inventory control based on sales data of dishes was studied.The time series prediction ARIMA algorithm was us ed to carry out the modeling experiment to test its feasibility in the dishes sales forec ast.In order to improve the prediction accuracy,parameter optimization and model fus ion were carried out based on the ARIMA model.Finally,the intelligent catering syst em was realized by means of EIO front-end interaction technology.The theoretical an d practical feasibility of the model is verified by the effect of the system operation. |