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Information × Registration Number 2124U009593, Article popup.category Матеріали конференцій Title Creation of supply chain management methods based on multi-agent systems and metaheuristics (AI translated) popup.author Fedorov EugeneNechyporenko OlgaGrygor OlegLeshchenko MarinaФедоров Євген ЄвгеновичНечипоренко Ольга ВолодимирівнаГригор Олег ОлександровичЛещенко Марина МиколаївнаFedorov EugeneNechyporenko OlgaGrygor OlegLeshchenko MarinaFedorov Yevhen YevhenovychNechyporenko Olha VolodymyrivnaHryhor Oleh OleksandrovychLeshchenko Maryna Mykolaivna popup.publication 01-01-2024 popup.source_user Черкаський державний технологічний університет popup.source https://er.chdtu.edu.ua/handle/ChSTU/5092 popup.publisher CEUR Workshop Proceedings Description 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. popup.nrat_date 2026-04-21 Close