Selection of an Inventory Management Strategy in a Low-Demand Environment
The research into various sources showed that, despite the results achieved, a low-demand environment and short time series are currently often neglected. To improve the reliability and validity of forecast estimates based on a short time series with low demand, it is necessary to create calculation models using all available quantitative and qualitative information. In this paper, we propose an algorithm that includes the systematisation of statistical data in the form of a time series, statistical and analytical models, expert evaluation of forecast consistency, analysis of the results in order to form versions of a combined model for assessing the predicted parameters of stock consumption, making decisions on choosing one of the inventory management strategies for a short time series with low demand, and the proposed approach is tested. Further research of low demand should include a number of directions, in particular, the development of combined forecasting methods, which include, in addition to quantitative and qualitative methods, the application of decision-making methods.