METHODOLOGY OF BALANCED ASSIGNMENT OF STORAGE PLACES FOR GOODS BASED ON TIME CHARACTERISTICS OF DEMAND

The article considers the current scientific and practical problem of storage place assignment (SLAP) in e-commerce warehouses. Classical approaches, such as ABC analysis, optimise order picking routes while ignoring the operational costs of placing goods. This leads to an imbalance, resulting in the reduction of picking distances by increasing the labor intensity of the product put-away process. The analysis of recent studies has shown that despite the proven benefits of individual time series forecasting methods, the need for comprehensive methods remains relevant. In particular, there is a lack of approaches that would integrate the analysis of demand dynamics directly into solving the SLAP problem and balance the associated costs between the processes of placing and picking orders. The Time-Oriented Assignment of Storage Locations (TOASL) methodology is proposed, the fundamental principle of which is to combine the processes of order picking and goods placement within a single optimization problem. Its architecture consists of four key phases. The first stage involves data processing, which includes aggregation, filtering, and normalisation of demand time series. The modelling