Tools and Methodologies for Business Processes Formalization Application to Multi-agent Systems / Aksyonov Konstantin,Bykov Eugene,Antonova Anna,Aksyonova Olga,Sufrygina Ekaterina,Goncharova Natalia // . - 2011. - V. , l. . - P. 113-118.

ISSN/EISSN:

2473-3539 / нет данных

Type:

Proceedings Paper

Abstract:

Currently there are various methodologies for business processes formalization. As well as various approaches to business process definition. Authors find a multi-agent approach the most efficient at the current level of information technology. This became the reason for development of BPsim. DSS - a simulation-based decision support system, based on multi-agent resource conversion processes apparatus. To design the architecture authors compared several methodologies that are popular in Russia, identified positive and negative sides, and developed their own multi-agent resource conversion processes model that considers and fixes all drawbacks of existing methodologies. Paper focuses on results of this analysis, showing the main idea of each methodology, introducing it to the reader, points out the main advantages and disadvantages. Second part of the paper describes the self-developed resource conversion processes methodology, emphasizes its advantages over existing methodologies, and concludes with a brief mention of developed decision support system, based on the methodology.

Author keywords:

agent-based modelling; business process formalization; decision support

DOI:

10.1109/EMS.2011.75

Web of Science ID:

ISI:000329525700020

Соавторы в МНС:

Другие поля

Поле	Значение
Editor	AlDabass, D and Orsoni, A and Pantelous, A and Romero, G and Felez, J
Booktitle	UKSIM FIFTH EUROPEAN MODELLING SYMPOSIUM ON COMPUTER MODELLING AND SIMULATION (EMS 2011)
Series	UKSim European Symposium on Computer Modeling and Simulation
Note	UKSim 5th European Modelling Symposium on Computer Modelling and Simulation (EMS), Madrid, SPAIN, NOV 16-18, 2011
Organization	IEEE Comp Soc, UK \& RI Sect; UK Simulat Soc; IEEE; Asia Modelling \& Simulat Soc; European Simulat Federat; European Council Modelling \& Simulat; Univ Politecnica Madrid; Kingston Univ; Liverpool Univ; Univ Technol Malaysia; Norway Univ Sci \& Technol; Machine Res Intelligence Lab; Nottingham Trent Univ; McLeod Inst Simulat Sci; Univ Technol Malaysia
Publisher	IEEE COMPUTER SOC
Address	10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA
Language	English
ISBN	978-0-7695-4619-3
Research-Areas	Computer Science; Operations Research \& Management Science
Web-of-Science-Categories	Computer Science, Interdisciplinary Applications; Operations Research \& Management Science
Author-Email	wiper99@mail.ru
ORCID-Numbers	Antonova, Anna/0000-0003-1246-8893
Number-of-Cited-References	14
Usage-Count-Last-180-days	1
Usage-Count-Since-2013	15
Doc-Delivery-Number	BJP87