Algorithmization of visual-expert modeling process when optimizing organizational system development management using monitoring information

The paper deals with the problem of increasing the efficiency of the decision-making process in the management of resource support for the development of an organizational system. It is shown that the focus on management based on the results of monitoring the effectiveness of the organizational system causes the necessity to use big data. In this case, the support for expert management decisions with the aid of the optimization approach does not allow one to exclude the choice of an unreasonable option for the distribution of resource support aimed at developing the system by improving the values of performance indicators that affect the achievement of established goals. To increase the validity level of management decisions, it is proposed to utilize the mechanisms of an expert’s visual-figurative intuition in reliance on the visualization of big data. At the same time, it is advisable to supplement the process of optimization modeling with visual-expert modeling. A structuring of the integrated process stages is given, which provides resource support for the achievement of goals in terms of the most significant performance indicators for the development of the organizational system. The suggested stages of the integrated process of visual-expert and optimization modeling are detailed in the form of a sequence of algorithmic operations that enable the expert to reasonably set the dimension and parameters of reductional optimization models as well as to choose a resource allocation option assisted by balance optimization.

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