INFORMATION-DYNAMIC MODEL OF SERVICE RESTORATION MANAGEMENT OF HARVESTERS WORKING CAPACITY

Purpose of the study is to substantiate the information-dynamic management model of service restoration of grain harvesters. The practical result will be the formation of Smart-technology engineering management to ensure the efficiency of combine harvesters. Research methods. The methodological basis of the work is the generalization and analysis of known scientific results on information and dynamic models of management of service recovery of complex technical systems, and in particular combine harvesters, and the use of a systems approach. Analytical method and comparative analysis were used to form a scientific problem, determine the purpose and set research objectives. The main provisions of the theory of systems engineering, methodology of systems analysis and research on the theory of graphs were used in the creation of empirical models. The results of the study. The article considered data that have statistical reliability as unimodal and correspond to one of the known laws of distribution of random variables according to Pearson's criterion. After forming a set of controlled unimodal parameters, the analysis of their mutual influence was performed to achieve the following goals: checking the independence of selected parameters, identifying patterns between parameters, determining the order of use of model parameters.From the calculated data of losses of the coefficient of technical readiness of combine harvesters it follows that 40.3 % of losses of the coefficient of technical readiness are due to downtime waiting for maintenance and repair of combine harvesters and waiting for sending to restore the combine harvester, maintenance and repair coefficient of technical readiness of 32.5 %. The largest loss of the readiness factor for all types of maintenance and repairs is accounted for by the second number of maintenance 9.5 %, unplanned repairs together with the expectation of unplanned repairs and waiting for shipment is 25.2 % of the loss of technical readiness due to low reliability of the studied combine harvesters. Conclusions. As a result of the conducted researches new scientifically substantiated technical and technological decisions and developments which are directed on increase of restoration production processes functioning efficiency of combine harvesters working capacity in the agricultural enterprises are received. As a result of the analysis of the object of study and world experience in the organization of production processes, the basic functional subsystems that should be part of the proposed model are identified. Organization of monitoring the operation and technical condition of combine harvesters: collecting information on the operation of combine harvesters, modes of operation of combine harvesters and technical condition of onboard ISU, as well as (in case of lack of information) from stationary and portable automated technical diagnostic systems used in service. The structure of the proposed information-dynamic model of service recovery management of combine harvesters has characteristic differences from modern innovative approaches, in terms of focusing on the implementation of Smart-technology engineering management to ensure the efficiency of combine harvesters. Key words: restoration, coefficient of technical readiness, combine harvester, reliability, efficiency, repair.