Creation of supply chain management methods based on multi-agent systems and metaheuristics

Abstract

Currently, the interaction between its participants plays an important role in the supply chain management process. The article proposes a multi-agent method for selecting product suppliers, which automates supplier selection and speeds up the decision-making process of the seller. The developed method includes determining the characteristics of product suppliers, creating a protocol for interaction between the seller and suppliers, developing methods for forming requirements for suppliers, analyzing the characteristics of suppliers and evaluating suppliers based on the results of their work. The proposed metaheuristic method for assigning orders to product suppliers is based on a genetic algorithm and, through the use of dynamic parameters, improves the accuracy and speed of the method and ensures its convergence. Prospects for further research include studying the proposed methods for a wide class of artificial intelligence problems.