Strategic planning and forecasting of industrial enterprises under conditions of uncertainty

for the sustainable economic development of the enterprise, as well as to maintain its competitive-ness, clear strategic planning is necessary, the quality of which depends on the various conditions existing in the environment in which the decision is made. The vector of these conditions is set by the internal and external envi-ronment of the enterprise, which is dynamic in time and uncertain in terms of parameter values. In this regard, the question arises about the effective forecasting and planning of an enterprise in conditions of uncertainty, which gives rise to the presence of a certain choice and the opportunity to consider several alternatives of the future with the probabilities of achieving them. Awareness of the alternative allows the business entity to understand the price of the choice made according to the efficiency criteria, assess their significance in relation to each other, adequately assess each of the alternatives when making a decision, and also determine the degree of risk. The choice of an al-ternative depends on reliable, high-quality and reliable information involved in solving specific tasks. It is she who forms the information base of forecasting, reflecting the state and determining the directions of possible changes in the development of the object, which should correspond to the goals and objectives regarding the future prospects and capabilities of the management object and business processes at the enterprise, determine industrial policy and industrial development. In this article it is proposed to consider the model of statistical games in forecasting and planning the activities of industrial enterprises.