Dynamics models of stocks of artificial objects

Models of evolution dynamics of stocks of artificial (technical) objects can be used for learning purposes, monitoring of stocks and decision-making in correcting the processes of stock evolution. The so called “stock functions” are introduced to describe the stock configuration and behaviour, formulations of the utility factors and utility pay-off are given. Dynamic models of the stock design, production, maintenance and operation are used for constructing the stock functions and, eventually, for determining a behaviour of the utility and pay-off factors. A set of above functions and their relationships forms a program of the stock evolution, which is an outcome of system of dynamic models.