As an important bridge between suppliers and customers, supermarket vegetables are responsible for introducing growers' vegetable products into the market and selling them to end customers. However, due to various factors, the profits of supermarket vegetables are not stable and unchanging. The growth environment, seasonal changes, market demand fluctuations, and transportation costs of vegetables will all have an impact on the profits of supermarket vegetables. Based on this background, this article first obtains the following expression by considering various factors such as vegetable planting costs, sales prices, market demand forecasting, and resource constraints. Then, this article uses a single objective optimization model to solve the problem of maximizing vegetable profits in supermarkets, and provide decision-making basis through reasonable algorithms and strategies to establish an objective function for maximizing profits. The replenishment quantity is the decision variable, and the minimum replenishment quantity needs to be greater than 2.5kg and the number of units available for saleGong within a day is between [27, 33] as the constraint conditions. Finally, the calculation of maximizing profits was achieved, and key data was visualized to validate the value and significance of the optimization model.

Qile Chen, Yipei Gong. Research on Optimization of Sales Strategy for Supermarket Based on Linear Programming. Academic Journal of Computing & Information Science (2023), Vol. 6, Issue 13: 115-119. https://doi.org/10.25236/AJCIS.2023.061317.

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