基于遗传算法的生鲜超市水果库存控制研究

Research on Inventory Control of Fresh Supermarket Fruit Based on Genetic Algorithm

摘要: 随着人们消费水平逐渐提高，人们对健康、营养、安全的果蔬品的需求日益高涨，对果蔬的新鲜度等愈加挑剔，从而增大了水果这种易变质、货架期短的生鲜农产品在生鲜超市的运营难度。生鲜超市的经营收益在很大程度上是由库存控制水平决定的，而科学有效的库存控制策略是提高库存管理水平的有效途径。本文考虑生鲜超市营业时间分段、消费者需求受价格和新鲜度影响的特点构建了库存控制模型，并结合S生鲜超市美国车厘子销售实例采用二进制编码的遗传算法对模型进行求解，销售利润提升了13.7%，实现了超市水果库存控制的合理性。

Abstract: With the gradual improvement of people’s consumption level, people’s demand for healthy, nutri-tious and safe fruits and vegetables has become increasingly high. At the same time, they turned to be too picky on the freshness of the fruits and vegetables, which makes it harder for the adminis-trator to operate the fruit with seasonal, perishability and short shelf life. The operating profit of fresh supermarket is largely determined by the inventory control level, and the scientific and ef-fective inventory control strategy is an effective way to improve the inventory management level of fresh supermarket. This paper constructs an inventory control model considering the charac-teristics of fresh supermarket business hours and consumer demand affected by price and fresh-ness. Then combined with the S fresh supermarket American cherry sales data as an example, the genetic algorithm of binary coding is used to solve the model. The sale profit increased 13.7% which achieved the rationality of fruit inventory control.