Innovative approaches to modeling processes of multi-item supply of imported products by food industry enterprises

Abstract

Abstract: Optimization of multi-item supplies is one of the key tasks for importing enterprises operating in the food market. The impact of seasonal fluctuations in demand and changes in order fulfillment costs complicate effective inventory management, which can lead to excessive logistics costs or resource shortages. Traditional inventory management models often do not take into account changes in market conditions, which reduces their practical effectiveness. Therefore, there is a need to create adaptive innovative mathematical models that can provide flexible planning of import orders taking into account changing parameters. The purpose of the study is to develop an innovative mathematical model that allows optimizing the frequency of multi-item supplies of imported products by food industry enterprises, taking into account seasonal trends in demand and increasing delivery costs. The proposed approach is aimed at improving the logistics processes of enterprises through the use of analytical modeling methods, which provides flexibility in making decisions about supplies. The paper proposes an asymptotic inventory management model that takes into account changes in market factors to determine optimal intervals between deliveries. The calculations performed in the paper based on real data from a natural coffee producer confirmed the possibility of its practical application. The application of the proposed innovative model allows reducing the logistics costs of importing enterprises, taking into account the variability of transportation costs and seasonal changes in demand, as well as minimizing the risks of inefficient use of warehouse resources. The developed innovative model can be integrated into automated inventory management systems, which will increase the accuracy and speed of making logistical decisions. The results of the study can be useful for enterprises operating in the field of distribution and import of food products, as well as for developers of software solutions in the field of logistics. Promising areas of further research are the integration of the proposed model with information systems for forecasting demand and expanding its capabilities by taking into account additional factors.