Article Back

APPLICATION OF MONTE CARLO SIMULATIONS IN ENTERPRISE PERFORMANCE FORECASTING

1 FABIANOVÁ Jana
Co-authors:
2 JANEKOVÁ Jaroslava 3 MICHALIK Peter
Institutions:
1 Technical University of Kosice, Faculty of Mining, Ecology, Process Control and Geotechnologies, Kosice, Slovak Republic, EU, jana.fabianova@tuke.sk
2 Technical University of Kosice, Faculty of Mechanical Engineering, Kosice, Slovak Republic, EU, jaroslava.janekova@tuke.sk
3 Technical University of Kosice, Faculty of Manufacturing Technologies, Prešov, Slovak Republic, EU, peter.michalik@tuke.sk
Conference:
CLC 2018 - Carpathian Logistics Congress, Wellness Hotel Step, Prague, Czech Republic, EU, December 3 - 5, 2018
Proceedings:
Proceedings CLC 2018 - Carpathian Logistics Congress
Pages:
422-428
ISBN:
978-80-87294-88-8
ISSN:
2694-9318
Published:
18th April 2019
Proceedings of the conference were published in Web of Science.
Metrics:
409 views / 169 downloads
View Full-text Download PDF
Abstract

Forecasting of parameters of variable nature is always accompanied by a high degree of risk. Questionable reliability of such forecasts, and the effort to eliminate or reduce the impact of factors that adversely affect the accuracy of the forecast lead to the use of software tools utilised in the field of risk management. The article presents the application of Monte Carlo simulations in the development and analysis of the enterprise performance forecast. Analysis of simulation results points out what is the reliability of the forecast and what are the key risk factors.

Keywords: Monte Carlo simulation, performance forecasting, risk analysis

© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Scroll to Top