This article proposes accounting for uncertainty factors in a dynamic optimization model. Accounting for uncertainty factors in equipment performance is represented by a decreasing piecewise-constant function, the domain of which is the expert ordinal measurement scale. The basis of the optimization of the execution time on the example of creating a helicopter technology is the dead-end control method which refers to such an admissible Boolean control in which the replacement of an arbitrary zero component by one leads to a violation of the resource constraint. To ensure stable work of a manufacturer, several options of network schedules are usually calculated based on various initial data. The final choice of the effective option is made according to a vector criterion, which can include the time of completion of a complex of works, the degree of intensity of a plant's work plans, the uniformity of the equipment load (work teams), etc.