Optimization of resource support at a given planning horizon of the organizational system development process using visual expert modeling

The paper deals with the issues concerning resource support management in the development of an organizational system at a given planning horizon. To solve them, integrating visual expert and optimization modeling within a single algorithmic scheme is proposed. The first task is aimed at determining the importance of the monitored indicators of the organizational system functioning in the implementation of the development process. To address it, a visualization of the initial data is suggested, which helps to accelerate and improve the accuracy of expert assessments when choosing the structure of the forecast model. It is targeted at effective processing of monitoring assessment data by means of visualization techniques The second task is a multi-alternative optimization problem that uses the solutions of the first task and ensures the distribution of the integral amount of resource support to increase the level of the indicators most crucial for development. The third task characterizes management decisions on the distribution of resource support between time ranges at a given planning horizon. It is shown that the combination of visual expert and optimization modeling makes it possible to find the optimal distribution which is more consistent with the real functioning of the organizational system compared to the traditional method of multi-step process of making optimal decisions. The solutions of these problems are combined within an algorithmic scheme and each procedure includes certain actions for data visualization, forecasting, examination and making optimal decisions.

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