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DEVELOPMENT OF THE ENTERPRISE MULTI-AGENT SIMULATION MODEL FOR THE PRODUCTION OF PLASTIC WINDOWS IN ORDER TO DEVELOP THE MARKETING STRATEGY

Konstantin Aksyonov

First published: 2019-06-20https://doi.org/10.5593/sgem2019/2.1/s07.032View metrics

Abstract

The article describes the solution of the problem of determining the pricing strategy of the enterprise, that operates at the window construction market with using an approach to a modeling multi-agent resource conversion processes. This approach is built on the basis of integration of simulation, expert, multi-agent and situational modeling methods. Agent-oriented simulation reveals and explains the mechanism of the emergence of a complex multi-agent system optimal behavior that consists of set of interacting active elements described as some intelligent agents. Active elements (in marketing situations) - market participants vary their properties and behavior depending on the state of other elements and the environment. The model of multi-agent resource conversion processes is programmatically implemented in the simulation system BPsim.MAS software package with a model of multi-agent resource conversion processes (MARCP) as a basis for multi-agent simulation. Series of experiments were conducted aimed at finding an effective pricing strategy and taking into account various combinations of the behavior of competing agents (activity / passivity).

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Publication details

Title
DEVELOPMENT OF THE ENTERPRISE MULTI-AGENT SIMULATION MODEL FOR THE PRODUCTION OF PLASTIC WINDOWS IN ORDER TO DEVELOP THE MARKETING STRATEGY
Authors
Konstantin Aksyonov
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 19th International Multidisciplinary Scientific GeoConference SGEM2019, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2019
Pages
241-248
SWS Citekey
Aksyonov20197241248
ISSN
1314-2704
ISBN
978-619-7408-79-9
Language
en
Publication type
Conference Paper
Keywords
multi-agent modelplastic windowsBPsimpricing strategiesshare market.
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