Data-Driven Analysis and Evaluation of Regional Warehouse Operations for an Automotive Spare Parts Wholesaler
Summanen, Eemeli (2025)
2025
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2025052716676
https://urn.fi/URN:NBN:fi:amk-2025052716676
Tiivistelmä
The objective of this thesis was to analyse and improve the operations of regional warehouses belonging to a Finnish automotive spare parts wholesaler. The study focused on inventory control, product range, and the processes of the regional warehouses. The study is based on data from the company's ERP systems, including sales, internal transfers, and replenishment records. The theoretical foundation was formed by studying literature on supply chain management, inventory control, warehousing, lean practices, and spare parts logistics.
The results show that there are inconsistent warehouse processes and issues with data that reduce the reliability of analysis and decision-making. To improve operations, the thesis recommends improving and standardising item group structures, collecting stock and product range data more systematically, and applying advanced classification methods to support the replenishment processes. Standardised processes for all regional warehouses are also proposed to improve comparability. Further analysis of the best-performing warehouse is suggested to identify transferable best practices.
The results show that there are inconsistent warehouse processes and issues with data that reduce the reliability of analysis and decision-making. To improve operations, the thesis recommends improving and standardising item group structures, collecting stock and product range data more systematically, and applying advanced classification methods to support the replenishment processes. Standardised processes for all regional warehouses are also proposed to improve comparability. Further analysis of the best-performing warehouse is suggested to identify transferable best practices.