Research on the dual source inventory system of perishable product warehouse using recurrent neural networks

For a long time, the academic community has been searching for the best strategy to replenish inventory from multiple suppliers. To address these optimization problems,inventory managers need to decide how much to order from each vendor in the case of net inventory and outstanding orders in order to minimize the expected backlog,holding and procurementocsts jointly.Especially in terms of perishable products, there are many factors to consider. Scholars have been studying this issue for a long time, and there are many factors that need to be considered, such as how to minimize procurement costs. This article incorporates dynamic inventory and dynamic demand into the design of recurrent neural networks from the perspective of neural networks. The results indicate that using deep neural network optimization methods can obtain high-quality solutions and open up a new approach for effective management of complex high-dimensional inventory dynamics