Bankruptcy Risk Management of a Machine Builder

Abstract:

The article presents the basic stages and results of the work with the decision support system in the process of risk management of bankruptcy by the example of a machine builder. Application of the suggested system allows solving four main tasks in the process of risk management of bankruptcy: selection of problem ratios; determining the bankruptcy risk level; generating and selecting alternatives for the problem ratios improvement; evaluating the economic efficiency of the chosen alternatives.

• Periodical: Applied Mechanics and Materials (Volume 682)
• Pages: 617-622
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.682.617
• Online since: October 2014
• Authors: Elena Telipenko*, Alexandra Zakharova
• Keywords: Analytic Hierarchy Process (AHP), Bankruptcy, Decision Support System, Fuzzy Logic, Fuzzy SWOT-Analysis, Method of Morphological Synthesis, Method of the Principal Components, Projective Models, Risk Management (RM)

References

[1] Bologa, A. Analysis of the economic and financial performance of an organization, in metallurgy. Metalurgia International Volume 16, 2011, Pages 26-29.

[2] LI, S. -x., KNIGHTS, P. Integration of real options into short-term mine planning and production scheduling. Mining Science and Technology Volume 19, September 2009, Pages 674-678.

DOI: 10.1016/s1674-5264(09)60125-3

[3] Siminicǎ, M., Marcu, N., Bǎndoi, A. The development of a bankruptcy prognosis model regarding Romanian companies between theory and practice. Metalurgia International Volume 14, 2009, Pages 114-116.

[4] Grigoreva A. Information system of innovative products competitiveness determining. Proceedings - 2012 7th International Forum on Strategic Technology, IFOST 2012, – (2012).

DOI: 10.1109/ifost.2012.6357651

[5] Zakharova A., Telipenko E. Information system of bankruptcy risk management of an enterprise. Proceedings - 2012 7th International Forum on Strategic Technology, IFOST 2012, – (2012).

DOI: 10.1109/ifost.2012.6357615

[6] Zakharova, A.A. Fuzzy swot analysis for selection of bankruptcy risk factors. Applied Mechanics and Materials Volume 379, 2013, Pages 207-213.

DOI: 10.4028/www.scientific.net/amm.379.207

[7] Berg, D. Bankruptcy prediction by generalized additive models. Applied Stochastic Models in Business and Industry Volume 23, March 2007, Pages 129-143.

DOI: 10.1002/asmb.658

[8] Hwang, R. -C., Siao, J. -S., Chung, H., Chu, C.K. Assessing bankruptcy prediction models via information content of technical inefficiency. Journal of Productivity Analysis Volume 36, December 2011, Pages 263-273.

DOI: 10.1007/s11123-011-0210-x

[9] Bauer, J., Agarwal, V. Are hazard models superior to traditional bankruptcy prediction approaches? A comprehensive test. Journal of Banking and Finance Volume 40, Issue 1, March 2014, Pages 432-442.

DOI: 10.1016/j.jbankfin.2013.12.013

[10] Hernandez Tinoco, M., Wilson, N. Financial distress and bankruptcy prediction among listed companies using accounting, market and macroeconomic variables. International Review of Financial Analysis Volume 30, December 2013, Pages 394-419.

DOI: 10.1016/j.irfa.2013.02.013

[11] Altman E.I., Haldeman R.G., Narayanan P. ZETATM analysis A new model to identify bankruptcy risk of corporations. Journal of Banking and Finance Volume 1, Issue 1, June 1977, Pages 29-54.

DOI: 10.1016/0378-4266(77)90017-6

[12] Mitsel A.A., Telipenko E.V. Minimization of the company's bankruptcy risk on the base of the analytic hierarchy process / Economics and enterprise. – Science journal, №1 – 2013, pp.163-171.