The optimization algorithm for the directions of influence of risk factors on the system that manages the potential of machine-building enterprises

• Main Authors: Viktoriya Prokhorova, Valentina Protsenko, Yula Bezuglaya, Julia Us
• Format: Article
• Language: English
• Published: PC Technology Center 2018-08-01
• Series: Eastern-European Journal of Enterprise Technologies
• Subjects: optimization algorithm; formation technology; managerial impacts; development system; financial potential; risk-oriented directionality
• Online Access: http://journals.uran.ua/eejet/article/view/139513
• ISSN: 1729-3774; 1729-4061

The lines of influence of risk factors on the system of management of financial potential of machine-building enterprises were determined. Their application makes it possible to provide enterprises with complete and reliable information on the system of the analysis component groups necessary for making optimal management decisions, improve the system of production and technological management through the use of integrated methods focused on analysis of the entire spectrum of critical parameters of the enterprise activities and maintain its financial potential at a proper functional level. Consistency comparison of expert’s local priorities with regard to the elements of the second and third levels of the hierarchical model of choice of the neutralization method has been made. The consistency relation showing the degree of violation of numerical value of transitive consistency is the criterion for assessing local expert priorities. A random coherence of local priorities of matrices of various orders was obtained. The algorithm of the strategy of optimization of the financial potential of machine-building enterprises was proposed taking into account influence of the risk factors. It is based on strategic tasks and principles and provides a tactical system set of methods, tools and concrete measures to implement the policy of optimizing the financial potential. It is characterized by various parametric indicators that take into account the risk-oriented optimization of enterprise’s financial potential. Depending on situation, the strategy should be adjustable and flexible for implementation in order to obtain the most positive result.