Location of Quick Delivery Warehouses in Online Retail Using Data Science Methods and Tools

Student: Nesterov Oleg

Educational Programme: Strategic Management in Logistics (Master)

Final Grade: 8

Year of Graduation: 2020

The work is devoted to the development and application of the methodology for the location of fast delivery warehouses using modern data tools using data of OZON Supermarket service. As a result of the work, the relevant scientific literature was analyzed, the tasks of calculating the service radius and securing areas for customers based on it were solved, sales of goods with fast delivery were predicted based on sales data with conventional delivery and population data, the optimization problem of opening warehouses was formulated and solved. The analysis of the sensitivity of the developed model to the variability of demand, as well as the analysis of economic results.

Full text (added May 5, 2020)

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