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Efficiency Enhancement of Inventory Management of Manufacturing Enterprise

Student: Tereshkin Maksim

Supervisor: Vladislav Lukinsky

Faculty: St.Petersburg School of Economics and Management

Educational Programme: Strategic Management in Logistics (Master)

Year of Graduation: 2020

In the master's thesis, based on a critical analysis of the works of domestic and foreign authors, methodological recommendations were developed to improve the existing analytical tools for assessing the effectiveness of inventory management; an improved version of the structure of logistics costs for inventory management is presented; a simplified model for calculating the most economical order size using constants is given; a scorecard (KPI) for stocks and organizational mechanism for setting effective inventory management system are proposed. To assess the impact of stocks on asset utilization efficiency, a methodology for conducting a multiplicative factor analysis in the form of a three-factor and four-factor model is proposed. An algorithm has been developed for conducting a comprehensive analysis of the impact of inventory management efficiency on the economic performance of manufacturing enterprises. The developed tools for assessing the impact of inventory management on the performance of a representative group of pulp and paper enterprises were tested and verified. A comprehensive analysis of the impact of stocks on the performance of pulp and paper enterprises allowed us to identify existing trends and patterns characterizing the effectiveness of inventory management, to determine the competitiveness profile of enterprises for inventory management and targets for enterprises grouped by sales volume, to calculate industry average dependencies of asset use efficiency on a number of indicators using correlation and regression analysis. Practical use of the methodological approaches and recommendations developed in the master's thesis will allow enterprises to identify reserves for the subsequent improvement of inventory management, make informed management decisions on investment in reserves to increase the efficiency and competitiveness of manufacturing enterprises.

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