Integrated evaluation of the functioning quality of robotic agricultural vehicle system

Abstract

The article proposes to use a method for evaluating the effectiveness (Data Envelope Analysis) of a system of robotic agricultural vehicles, which is based on solving the problem of fractional linear programming when analyzing a set of homogeneous production facilities. This method is used for an integrated assessment of the quality of service of robotic vehicles according to the specified key parameters of functioning. The main parameters of the effectiveness of the system of robotic agricultural vehicles are selected: the coefficient of technical readiness, operational speed, downtime in maintenance and repair, the average daily duration of the car, the average monthly mileage of the vehicle, the remaining life of the car, the unit cost of maintenance and specific cargo displacement. Solving systems of linear equations makes it possible to determine the position of each analyzed object relative to the efficiency boundary in a multidimensional parameter space. The solution of the Bunker-Charnes-Cooper problem has been completed. Sets of target changes in the parameters of robotic cars have been obtained, which transfer objects to the efficiency boundary. The analysis of the parameters is carried out by constructing diagrams of production capabilities in a multidimensional space. For two periods of operation of the robotic vehicle system for an agro-industrial enterprise, the Malmquist index was calculated to assess the dynamics of operational efficiency.