Voronezh, Voronezh, Russian Federation
Voronezh, Voronezh, Russian Federation
graduate student
Russian Federation
Moskva, Moscow, Russian Federation
The article discusses the problem of optimal planning using mean values and variances, which implements the principle of stochastic planning, in which a certain (final) plan is formed by the beginning of the planning period, and then only a probable (preliminary) plan. A decomposition analysis of this problem is presented to identify algorithms for the functioning of a system of models of definite probabilistic planning. As an approximate method for solving the problem, a coordination mechanism with intervals is proposed.
task, complex system, model, probabilistic parameters of the project, project, coordination mechanism
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