Assessing the operational efficiency of the agricultural machinery fleet at a modern agro-industrial enterprise

In the cost structure of agricultural production, fuel and lubricant costs (hereinafter referred to as FLC) account for a significant share and are subject to high price volatility, which creates substantial economic risks. The study aims to develop and test an econometric method for assessing and optimising FLC by stochastically modelling the operation costs of a heterogeneous agricultural machinery fleet. The research is based on the analysis of panel data from production reports of the Omsk Agrarian Scientific Centre for a full agricultural season. Using statistical methods, physical and operational indicators (productivity, specific fuel consumption) are integrated with simulated market price dynamics. For each machinery unit, the expected cost of cultivating one hectare and its standard deviation as a measure of risk are calculated. The paper demonstrates that different machinery models have unique economic profiles. The developed synthetic tool – the Risk – Cost matrix – allowed for an objective classification of the entire fleet, identifying highly efficient and predictable assets as well as problematic ones, which are the main source of financial risks. The proposed model is an effective tool for making differentiated managerial decisions aimed at improving the economic stability and competitiveness of agro-enterprises.

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