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Improvement of the Inventory Management System in Conditions of Uncertainty Using Mathematical Modeling Methods

Student: Laletin Mikhail

Supervisor: Denis Gusev

Faculty: Graduate School of Business

Educational Programme: Logistics and Supply Chain Management (Bachelor)

Year of Graduation: 2024

This work is based on the example of the company Ascona Trading House LLC, it consists of an introduction, three main chapters, a conclusion, a list of sources used and two appendices. The work includes 17 tables and figures. The volume of work is 70 pages of printed text. The first chapter is devoted to the study of the company's business activities, analysis of its logistics chain, the state of stocks in warehouses, the external and internal environment, using the following methods: “PESTEL analysis”, “SWOT analysis”, “Porter's 5 forces”, “Risk analysis”, analysis of the warehouse network and identification of problems. The second chapter is devoted to the study of methods and theoretical approaches to solving the problem of inventory management in conditions of uncertainty. Based on the analysis of sources, methods of mathematical modeling have been identified, within which this problem can be solved. Auxiliary methods have also been found that make it possible to formalize the existing problem. The third chapter is devoted to the formalization of the problem, modeling and application of mathematical methods. Based on the application of the methods, recommendations were collected for the company on the use of certain methods and the implementation of supply and inventory management strategies.

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