Application of deterministic and stochastic models for replacement of industrial enterprises equipment

It is noted that solving the problem of rational use and replacement of the equipment is one of the key issues of increasing the work efficiency of the industrial enterprise in modern conditions. Stochastic and deterministic models are described allowing to make decisions on equipment replacement using the language of network modeling and dynamic programming algorithms. The generalizing algorithm is proposed of the equipment replacement and the importance is shown of the accounting for the uncertainty factor while solving the problems of this class. The results obtained can be used to construct an optimal strategy for replacing equipment at industrial enterprise. The algorithms proposed can become an integral part of the mathematical support of information and analytical systems of industrial enterprises.