Research on pricing and replenishment decision of vegetable and fruit commodities-Based on nonlinear programming model and ARIMA time series forecasting

Abstract

Due to the timeliness of vegetable and fruit sales, supermarkets generally supplement each product on a daily basis based on the past sales and demand of each product according to the specific situation. In order to make replenishment and pricing decisions for vegetables and fruits in commercial supermarkets, this paper considers cost, sales volume, supply and demand relationship and loss factors under profit maximization based on cost plus pricing method. Sales volume, cost plus pricing functions are defined, and seasonal ARMIA model is used for forecasting. The sales profit function and constraint conditions are established, and the nonlinear programming model is constructed to solve the problem to obtain the profit maximization scheme.