The prospects for using distributed assembly interface for configuring agricultural supply chains in a regional cluster

The purpose of the study was to test the hypothesis about the possibility of using a distributed assembly program developed and tested to configure supply chains for individualized custom production in the supply of agricultural products to retail outlets located in different regions of Krasnoyarsk Territory. The software product of distributed assembly interface was specially reformatted for agricultural products; the products were grouped by product and price matrix. The distributed assembly interface contained the combinatorics algorithm - “placement with repetition”, in which the program sequentially iterated through the databases and selected the optimal solutions for the given parameters. For the purpose of economic and mathematical modeling of supply chains, the databases of suppliers were collected, databases of consumers, databases of distances between settlements in the region, the database on the composition and price of assemblies (commodity-price matrix). As specified parameters the price, speed, quality were selected; implying that purchasers of outlets, when choosing a supplier and supply chain of agricultural products, were guided by the assortment matrix, the residuals in the outlet, the availability of goods from the supplier, the minimum price and minimum delivery time. Numerical experiments show that the distributed assembly interface is well suited for calculating the optimal supply chains of agricultural products in the region and can be used to configure the supply chains of agricultural products in the regional cluster, i.e. a large group of suppliers, consumers, and carriers integrated into an integrated logistics network. For practical use, the interface needs to be improved in terms of clarifying the product matrix and expanding the base of suppliers and customers. To use the distributed assembly model for optimizing and configuring the supply chains of agricultural products in a regional cluster, the proposed interface seems to be a very promising methodological toolkit. The research goal has been achieved.