Standard
Harvard
Aksyonov, KA, Bykov, EA, Smoliy, EF, Sufrygina, EM, Sheklein, A, Aksyonova, OP & Kai, W 2011,
Efficient Decision Support with Simulation-Based System BPsim.DSS: Advanced Simulation Techniques: book chapter. in
Proceedings - 2011 2nd International Conference on Intelligent Systems, Modelling and Simulation, ISMS 2011: book., 5730315, 2011 Second International Conference on Intelligent Systems, Modelling and Simulation, Institute of Electrical and Electronics Engineers Inc., pp. 30-34, 2011 2nd International Conference on Intelligent Systems, Modelling and Simulation (ISMS),
25/01/2011.
https://doi.org/10.1109/ISMS.2011.15
APA
Aksyonov, K. A., Bykov, E. A., Smoliy, E. F., Sufrygina, E. M., Sheklein, A., Aksyonova, O. P., & Kai, W. (2011).
Efficient Decision Support with Simulation-Based System BPsim.DSS: Advanced Simulation Techniques: book chapter. In
Proceedings - 2011 2nd International Conference on Intelligent Systems, Modelling and Simulation, ISMS 2011: book (pp. 30-34). [5730315] (2011 Second International Conference on Intelligent Systems, Modelling and Simulation). Institute of Electrical and Electronics Engineers Inc..
https://doi.org/10.1109/ISMS.2011.15
Vancouver
Author
BibTeX
@inproceedings{93195e90daa54186a50b5ba9e63851fd,
title = "Efficient Decision Support with Simulation-Based System BPsim.DSS: Advanced Simulation Techniques: book chapter",
abstract = "Effective decision support assist greatly in many control and management processes. Many business processes may be easily formalized and simulated, allowing automated assistance in decision making. The paper describes research on current decision support systems with the self-developed system BPsim. DSS, based on multi-agent simulation of resource conversion processes, extended with additional functionality, including agent coalitions consideration, simulation experiment design, and assistance in model design. Process definition apparatus allows such approach to be applied to various kinds of business processes in many spheres of life. Some examples of deployment within different kinds of enterprises are provided, including economical effect estimation.",
author = "Aksyonov, {Konstantin A.} and Bykov, {Eugene A.} and Smoliy, {Elena F.} and Sufrygina, {Ekaterina M.} and Alexey Sheklein and Aksyonova, {Olga P.} and Wang Kai",
year = "2011",
month = jan,
doi = "10.1109/ISMS.2011.15",
language = "English",
isbn = "978-076954336-9",
series = "2011 Second International Conference on Intelligent Systems, Modelling and Simulation",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "30--34",
booktitle = "Proceedings - 2011 2nd International Conference on Intelligent Systems, Modelling and Simulation, ISMS 2011",
address = "United States",
note = "2011 2nd International Conference on Intelligent Systems, Modelling and Simulation (ISMS) ; Conference date: 25-01-2011 Through 27-01-2011",
}
RIS
TY - GEN
T1 - Efficient Decision Support with Simulation-Based System BPsim.DSS: Advanced Simulation Techniques
T2 - 2011 2nd International Conference on Intelligent Systems, Modelling and Simulation (ISMS)
AU - Aksyonov, Konstantin A.
AU - Bykov, Eugene A.
AU - Smoliy, Elena F.
AU - Sufrygina, Ekaterina M.
AU - Sheklein, Alexey
AU - Aksyonova, Olga P.
AU - Kai, Wang
PY - 2011/1
Y1 - 2011/1
N2 - Effective decision support assist greatly in many control and management processes. Many business processes may be easily formalized and simulated, allowing automated assistance in decision making. The paper describes research on current decision support systems with the self-developed system BPsim. DSS, based on multi-agent simulation of resource conversion processes, extended with additional functionality, including agent coalitions consideration, simulation experiment design, and assistance in model design. Process definition apparatus allows such approach to be applied to various kinds of business processes in many spheres of life. Some examples of deployment within different kinds of enterprises are provided, including economical effect estimation.
AB - Effective decision support assist greatly in many control and management processes. Many business processes may be easily formalized and simulated, allowing automated assistance in decision making. The paper describes research on current decision support systems with the self-developed system BPsim. DSS, based on multi-agent simulation of resource conversion processes, extended with additional functionality, including agent coalitions consideration, simulation experiment design, and assistance in model design. Process definition apparatus allows such approach to be applied to various kinds of business processes in many spheres of life. Some examples of deployment within different kinds of enterprises are provided, including economical effect estimation.
UR - http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=79953766458
U2 - 10.1109/ISMS.2011.15
DO - 10.1109/ISMS.2011.15
M3 - Conference contribution
SN - 978-076954336-9
T3 - 2011 Second International Conference on Intelligent Systems, Modelling and Simulation
SP - 30
EP - 34
BT - Proceedings - 2011 2nd International Conference on Intelligent Systems, Modelling and Simulation, ISMS 2011
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 25 January 2011 through 27 January 2011
ER -
