ALGORITHMICS OF SEASONAL FAILURE OF HYDROSYSTEMS OF GRAIN HARVESTING COMBINERS
Abstract
The article formulates methodical optimization approaches to increase the operational readiness of the park and increase seasonal production due to the optimal distribution of work between groups of grain harvesters. The authors developed a method of optimizing the seasonal load of resource groups of grain harvesters of the technological complex, taking into account their technical condition and operating conditions. At the same time, the process of machine use of a combine harvester is considered as a feature of the operation of combine harvesters, as such that they are used for a limited number of agricultural operations during a limited agrotechnical term. Based on the analysis of changes in the cost of maintaining the hydraulic systems of the harvester in working condition, the author identified the limits of resource groups, the main criteria of which were the achieved reliability indicators with the available working time of the hydraulic systems, the amount of repair effects of the scheduled and warning maintenance system, the projected seasonal working time, and the cost elimination of the consequences of hydraulic system failures of the harvester. Also, an important factor when calculating the composition of the fleet of grain-harvesting combines and planning its seasonal load is the justified market value of combines for each of the resource groups, the decrease of which also occurs non-linearly. Optimizing the performance of hydraulic systems of the harvester consists in determining the limits of resource groups, reducing the performance beyond the reduction of the coefficient of operational readiness, which leads to the downtime of combines and losses as a result of violation of agrotechnical deadlines. Since the seasonal operation of grain harvesters consists of several stages of harvesting different crops or their varieties, which have different ripening periods. In the article, the dependence of the growth of operating costs in the elimination of the consequences of failures as they occur and in the case of a planned and warning system of technical control and repair and the determination of the limits of resource groups depending on the performance is obtained. The algorithm for optimizing the seasonal load of the fleet of grain harvesters is substantiated. The results of a comparison of the average load per combine harvester across the country and the performance of the inspected fleet of grain harvesters are presented. The obtained results, as a perspective for further research, can be used by agricultural farms when equipping the harvester fleet with both domestic and imported models of grain harvesters.
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