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Application of Multi-Agent Systems (MAS) in Supply Chain Management

Student: Rudneva Anastasiia

Supervisor: Natalya N. Lychkina

Faculty: Graduate School of Business

Educational Programme: Digital Logistics and Supply Chain Management (Master)

Year of Graduation: 2021

Traditional approaches to planning and analyzing supply chain events cannot completely solve the problems of complex adaptive systems such as the supply chain (CPU), and the latest methods and technologies must be sought. One such technology is the multi-agent system (MAS). This dissertation explores the principles of integration in the supply chain and the role of interorganizational coordination, as well as strategies for cooperation in collaborative supply chains, investigates the mechanisms of interorganizational interaction in supply chains, analyzes supply chain configurations from the point of view of interorganizational relations, explores intelligent technologies that provide a high level of maturity and efficiency of interorganizational interaction and the concept of its development. The proposed multi-agent system allows you to study the impact of new strategies for cooperation with counterparties and their management mechanisms based on inter-organizational coordination on the properties of the supply chain and overall efficiency in a strategic plan.

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