Industrial Simulation of Metallurgical Logistics / Aksyonov K.,Bykov E.,Aksyonova O.,Goncharova N.,Nevolina A. // . - 2015. - V. 18, l. . - P. 600-603.

ISSN/EISSN:

2352-538X / нет данных

Type:

Proceedings Paper

Abstract:

The paper focuses on discussion on the method of integration of simulation models used within the enterprise information system. The integration problem is presented on one sample class of models - the real time models that are used in control, diagnostics and decision making processes. The suggested method is based on multi-agent approach with distributed knowledgeable agents. The dynamic model consists in the multi-agent resource conversion process model that supports multi-approach modeling, including discrete-event, agent-based, queuing systems. To substantiate suggested technical decision of the integration module existing message brokers were analyzed. The subject area ontology is presented. It is used for semantic data integration that is required for simulation modeling of technological processes, business processes and logistical processes. In order to achieve a cross-platform system Java language is used for development.

Author keywords:

Simulation; Agent-based modelling; Model integration; Resource conversion processes

DOI:

нет данных

Web of Science ID:

ISI:000359866200163

Соавторы в МНС:

Другие поля

Поле	Значение
Editor	Chan, K and Yeh, J
Booktitle	PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTER INFORMATION SYSTEMS AND INDUSTRIAL APPLICATIONS (CISIA 2015)
Series	ACSR-Advances in Comptuer Science Research
Note	International Conference on Computer Information Systems and Industrial Applications (CISIA), Bangkok, THAILAND, JUN 28-29, 2015
Publisher	ATLANTIS PRESS
Address	29 AVENUE LAVMIERE, PARIS, 75019, FRANCE
Language	English
ISBN	978-94-62520-72-1
Research-Areas	Computer Science
Web-of-Science-Categories	Computer Science, Artificial Intelligence; Computer Science, Hardware \& Architecture; Computer Science, Theory \& Methods
Number-of-Cited-References	9
Usage-Count-Last-180-days	3
Usage-Count-Since-2013	6
Doc-Delivery-Number	BD3LO