This article presents the results of an investigation for a new method to form sets of construction machinery. The model for optimizing the set of construction machinery implies the possibility to consider the following: the influence of the quality of operation onto the technical state of the machinery, which is characterized by the readiness factor; costs and reliability of the purchased equipment, new and the used one; influence of capital overhauls; selling machinery and purchasing new one at a higher price; decommissioning old equipment; accompanying economical losses, which is a concealed form of insuring against insufficient reliability of the equipment; optimizing the service life along several criteria – minimum investment, maximum profit, specified level of reliability, period of repayment. This method for optimizing the age structure of the construction machinery set is based on using the method of linear programming. Practical recommendations are also included.

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The paper contains results of studies of changes in performance of plant machinery and vehicles during operation: non-failure operating time, costs, revenue, profit and cost efficiency. It is shown that decrease of non-failure operating time and increase of operating costs can be described by the exponential law. Mathematical models based on changes of performance parameters were developed in order to determine optimum service life of machinery according to economic criteria. The paper describes application of an information system for collection and processing of data necessary for models.Application of the developed method for determining of optimum service life would contribute to rational formation of machinery fleet.Key words: plant machinery and vehicles, service life, operation, information system Introduction Operational management of complex facilities, such as plant machinery and vehicles, is a complicated task with many parameters. A whole class of automated information means, i.e. asset management systems (according to European classification, EAM systems -Enterprise Asset Management), was developed to assist in solving of this task. EAM systems provide collection and processing of operational information, automate maintenance and repair planning, and reveal the need for spare parts and other resources. One of directions of EAM system development is its intellectualization, i.e. development of an opportunity to improve production processes by supplying information systems with mathematical models describing dynamics of main parameters and processes.

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