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

Student: Shevchenko Nikolay

Supervisor: Natalya N. Lychkina

Faculty: Graduate School of Business

Educational Programme: Strategic Management in Logistics (Master)

Year of Graduation: 2020

Traditional approaches for planning and analyzing events in supply chains do not allow us to fully solve the problems of such complex adaptive systems as supply chains (SC), which makes it necessary to search for modern methods and technologies. Multi – agent systems (MAS) can be one of these technologies. This new direction of artificial intelligence finds its application in various sectors of the economy to perform a wide range of tasks, including supply chain management (SCM). This master's thesis will be devoted to the analysis of the application of this pioneering technology in SCM.

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