Formulation of the task of ensuring automation of the full cycle of decision support

The relevance of the topic of the article is determined by the fact that the existing decision support systems (DMSS) provide automation of only part of the stages of a typical management cycle, completely imposing on the user such important ones as goal setting and management of the implementation of developed plans. This is determined by the objective difficulties of formalization and the dynamism of these stages, but breaks the single management process into autonomous, partially automated sections. No research is currently being conducted to solve this problem. Taking this into account, the purpose of the study was to obtain a descriptive formulation of the task of automating the processes of goal-setting and management for implementation in the DMSS. The article, using general scientific research methods, analyzes the content of the control cycle and the existing technologies for automating its elements. Using the results of the analysis, proposals were synthesized and the task was formulated to automate the stages of goal-setting and management of the implementation of plans, for implementation as part of the DMSS, approaches were proposed that can be used to implement the task.The problem of automating the initial stage of the management cycle, goal-setting, is proposed to be solved by using specialized expert systems. To solve the problem of decision support at the control stage, it is proposed to use simplified dynamic control algorithms. In a direct formulation, such a problem is posed for the first time. The article proposes a set of methods and basic algorithms that provide a solution to the problem of automating goal-setting and management processes and, in the future, their implementation in the structure of the DMSS.