Application of a decision support system in an industrial enterprise

Work at an industrial enterprise is associated with the constant adoption of management decisions at all levels, on which both the timeliness of order fulfilment and the efficiency of production capacity depend. The use of modern information technologies based on mathematical methods, allow you to make a decision knowing what should happen. © Published under licence by IOP Publishing Ltd.This work is supported by Act 211 Government of the Russian Federation, contract № 02.A03.21.0006

Development of a method and decision support system for distributing orders of a machine-building enterprise

The efficiency of the machine-building enterprise depends on the efficiency of management decisions at all levels, which affect the implementation of production orders, rational use of production resources. The use of modern information technologies which are based on mathematical methods allows you to make the right management decisions in a timely manner to improve the efficiency of the enterprise. © 2020 Published under licence by IOP Publishing Ltd

Development of graphical oriented expert system

In this paper the application of expert system apparatus is described of the balanced score card method based on production model of knowledge representation. The proposed approach to creating the Balanced Score Card model automates processes of analyzing the impact of changes in the key indicators and sponsored activities was carried out. Also, the approach enhances estimating the cost of resources necessary to achieve the key indicator taking into accountthe coefficients of confidence in certain dependencies and baseline data. © 2020 American Institute of Physics Inc.. All rights reserved.This work was supported by Act 211 Government of the Russian Federation, contract N 02.A03.21.0006

Development of simulation model of continuous casting machine with dry change of steel ladles

Results of development of a multiagent simulation model of continuous casting machine with dry change of steel ladles are presented. An algorithm for cutting slabs as well as implementation of this algorithm to the multiagent model of the resource conversion process has been described. The simulation model of the continuous casting machine work is implemented in a metallurgical enterprise information system. During experiments with the model, information is used on the duration of real production processes. This information is formed by the data preparation module of the information system. As a result of simulation-evolutionary modeling with the developed model, recommendations have been obtained for increasing number of units of products going to customers without rejection and reassignment. © 2020 American Institute of Physics Inc.. All rights reserved.The reported study was funded by RFBR according to the research project № 18-37-00183

Development of a process resource balancing method based on integration of network planning and multi-agent approach

The article discusses the method of balancing multi-agent resource conversion processes based on the analysis and elimination of bottlenecks, compression procedures and expansion procedures, network planning. A multi-agent process of resource conversion model is used to model and optimize technological, logistic and organizational (business) processes. The method of balancing the multi-agent process of resource conversion is programmatically implemented in an automated system for the release of metallurgical products. © 2020 Published under licence by IOP Publishing Ltd

Гибридное моделирование мультиагентных процессов преобразования ресурсов: монография

Книга содержит описание основных проблем динамического моделирования мультиагентных процессов преобразования ресурсов. Разработанные модели и методы могут быть использованы в области производства, технологических и бизнес-процессов для создания систем поддержки принятия решений. Данная книга рекомендуется студентам и аспирантам технических вузов, прикладным программистам, аналитикам, руководителям информационных отделов и фирм для практического изучения и реализации методов и алгоритмов программирования ситуационного, имитационного, экспертного и мультиагентного моделирования бизнес-процессов