Expert-Optimization Modeling of Control Actions Choice and Allocation of Functions in Dynamic Organizational Structures
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Keywords

expert and optimization modelling, dynamic organizational structure, integrated management system, business process modeling, expert methods, adaptive approach

How to Cite

Šperka, M., Štefanovič, J., & Lvovich, I. (2023). Expert-Optimization Modeling of Control Actions Choice and Allocation of Functions in Dynamic Organizational Structures. Information Technology Applications, 5(1), 36–53. Retrieved from https://www.itajournal.com/index.php/ita/article/view/108

Abstract

A lot of modern enterprises have a network organizational structure. Along with the rapid expansion of external networks of cooperation with contractors, the incompany network organization is being transformed into a new, perspective means of a company dynamization. Compliance of the dynamic organizational structure with the targets of an enterprise functioning is determined by the degree of the control actions influence. To select the optimal control actions providing development of the dynamic organizational structure of an integrated enterprise management system, the adaptive choice algorithm diagram based on the results of the enterprise functioning indicators monitoring and expert assessments, is dIn order to select the reasonable variant of distribution of functions between levels and elements, the multi-alternative expert optimization model of an enterprise dynamic organizational structure improvement, based on the adaptive procedures is developed. By the example of a real enterprise, the example of building of the dynamic structure of business process management in an integrated management system (IMS) is considered. An approach to the development of an entity-relationship model of the decision maker (DM) organizational interaction system within the selected business process with the use of temporary databases, which provide support to an enterprise procedure, rules and regulations, as well as efficient information processing in real-time mode.

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