Proceedings of the 2016 Conference on Information Technologies in Science, Management, Social Sphere and Medicine

Mathematical Support of Decision Support System When Managing A Company

Authors
Arthur Mitsel, Sergey Kozlov, Michail Kataev, Anatoly Maslov
Corresponding Author
Arthur Mitsel
Available Online May 2016.
DOI
10.2991/itsmssm-16.2016.94How to use a DOI?
Keywords
systems of decision support, financial stability, bankruptcy, bankruptcy risk models, factor analysis, discriminate models, fuzzy set models
Abstract

Under current conditions it is impossible to manage a company to a good quality without specialized instruments. Currently decision support systems (DSS) are widely used to manage the bankruptcy risks of a company. Developing a DSS requires proper mathematical models. It allows return on capital forecasting and financial solvency revealing and, mainly, regulating the risk of bankruptcy event. The aim of the given paper is to throw light on the problem of decision support system development when estimating financial stability of companies. In the paper we consider the mathematical support of DSS - models of financial stability estimation and dynamic model of managing the resultant index of financial stability. In the paper we review the methods of bankruptcy risk estimation described in academic literature and describe some models developed by the authors. In the paper the authors provide a brief review of DSS designed for managing the bankruptcy risk of companies, analyze the financial stability of 30 oil and gas companies organized as open joint stock companies. It was shown that there are no universal models for estimating company bankruptcy risk. The limits to applicability of the models depend upon the economic conditions under which the models were developed, notably, it was shown that foreign models are insufficient for Russian conditions. The authors provide their models of financial stability estimation of oil and gas and machine-building companies which allow taking into consideration quantitative and qualitative indices which can be both standardized and non-standardized. The models allow taking into account industry-specific peculiarities of companies and can be applied to estimate the bankruptcy risk.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 Conference on Information Technologies in Science, Management, Social Sphere and Medicine
Series
Advances in Computer Science Research
Publication Date
May 2016
ISBN
10.2991/itsmssm-16.2016.94
ISSN
2352-538X
DOI
10.2991/itsmssm-16.2016.94How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Arthur Mitsel
AU  - Sergey Kozlov
AU  - Michail Kataev
AU  - Anatoly Maslov
PY  - 2016/05
DA  - 2016/05
TI  - Mathematical Support of Decision Support System When Managing A Company
BT  - Proceedings of the 2016 Conference on Information Technologies in Science, Management, Social Sphere and Medicine
PB  - Atlantis Press
SP  - 481
EP  - 488
SN  - 2352-538X
UR  - https://doi.org/10.2991/itsmssm-16.2016.94
DO  - 10.2991/itsmssm-16.2016.94
ID  - Mitsel2016/05
ER  -