Control Systems and Computers, N4, 2021, Article 3
https://doi.org/10.15407/csc.2021.04.019
Control Systems and Computers, 2021, Issue 4 (294), pp. 19-27.
UDC 004.896
V.Yu. Meytus, Doctor of Phys.-Math. Sciences, Researcher Associate,
International Research and Training Centre fof Information Technologies and Systems
of the NAS and MES of Ukraine, Acad. Glushkov ave., 40, Kiev, 03187, Ukraine,
vmeitus@gmail.com
INTELLIGENT MANAGEMENT OF PRODUCTION SYSTEMS
Introduction. The research is devoted to the problem of building intelligent production management systems. They allow organizing modern efficient production without human participation in its management.
Problem. To develop a scheme for creating an algorithm underlying the creation of an intelligent production management system, using the example of a mechanical workshop of a machine-building enterprise.
Purpose. To present a scheme for constructing an intelligent control of management system (workshop), which is developed based on the application of an intelligent modeling algorithm and the use of a set of knowledge about the subject area.
Methods. The main method used in the development of an intelligent control system is the method of intelligent modeling, which is applied to the knowledge of the machine-building enterprise workshop.
Result. A diagram of an intelligent shop management system is built based on the use of knowledge that describes this shop. The model of the workshop is proposed. It consists of a system of plans describing the work of the workshop. Not only the production process is planned, but also material and technical supply, resources, and financial management. Plans are built using the scheduling theory.
Conclusion. An intelligent management system at an enterprise implies the possibility of management without human participation in the management process. This system is based on obtaining information about the state of all elements of business processes based on the use of cyber-physical systems and the Internet of things.
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Keywords: intelligence, intelligent modeling, intelligent control system, subject area, cyber-physical system.
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Received 08.03.2021
