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

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