An environment of turbulence in the market in recent years and increasing inflation, mainly as a result of the post-COVID period and the ongoing military operation in Ukraine, represents a significant financial risk factor for many companies, which has a negative impact on managerial decisions. A lot of enterprises are forced to look for ways to effectively assess the riskiness of the projects that they would like to implement in the future. The aim of the article is to present a new approach for companies with which to assess the riskiness of projects. The basis of this is the use of the new Crystal Ball software tool and the effective application of the Monte Carlo method. The article deals with the current issues of investment and financial planning, which are the basic pillars for effective management decisions with the goal of sustainability. The article has verified a methodology that allows companies to make effective investment decisions based on assessing the level of risk. For practical application, the Monte Carlo method was chosen, as it uses sensitivity analysis and simulations, which were evaluated for two types of projects. Both simulations were primarily carried out based on a deterministic approach through traditional mathematical models. Subsequently, stochastic modeling was performed using the Crystal Ball software tool. As a result of the sensitivity analysis, two tornado graphs were created, which display risk factors according to the degree of their influence on the criterion value. The output of this article is the presentation of these new approaches for financial decision-making within companies.

The article deals with current issues of finance and investment planning with a selective focus on financial decision-making processes using sophisticated software tools. The article has a special significance in this period when it is necessary to re-evaluate and consider ways of appropriate and effective investment and financial policy in view of the restrictions in enterprises in Slovakia, which brings with it the global pandemic COVID-19 or another crisis in enterprises. The aim of the article is to propose a methodology as a tool for streamlining the investment activities of companies. The proposed methodology combines the usability of traditional and modern economic methods, making it an important tool for the sustainability and competitiveness of enterprises. Three variants of investment decisions in the enterprise were simulated using simulation in terms of two approaches. The first approach focuses on mathematical–economic calculations of deterministic modeling through traditional software tools. The second stochastic modeling uses the simulation of financial risks using a modern software tool using the Monte Carlo method. The output is the creation of a graphical management model in the form of an algorithm.

Investments are a demanding and, at the same time, threatening indicator for enterprises not only in the time of depression such as the current coronavirus pandemic but also under normal market conditions. The goal of this article is to propose a methodology for assessing financial risks and investment development. The proposed methodology integrates the use of new modern and classical economic-statistical methods, which makes it an effective tool for the sustainability of enterprises. At the same time, the methodology can be used as an auxiliary tool for enterprise management in the investment decision-making process. In the first step, a methodology was created using a commercial software tool where the pdevelopment of the cash-flow indicator and the accumulated cash flow were modeled in order to calculate the net present value (NPV). The statistical modeling was performed using the one-way analysis of variance (ANOVA). The normality was monitored using the Shapiro–Wilk test, and the Kruskal–Wallis test was chosen as the non-parametric test. The deliverable of the applied methods was the creation of a mathematical model in the form of an algorithm that is applicable in different enterprises in Slovakia.

Aviation education is a complex pedagogical process, which we perceive as a didactic system for the creation of personnel competencies to perform aviation professions. Increasing the quality of education requires effective use of the experience and needs of aviation practice. The aim of the article is to examine the content of aviation education of military pilots at the selected institutions from 1973 to the present using the analysis for the quality teaching process and the interaction of edutants (human factors) teachers and students. The article is the first part of the study on the issue of aviation education, which answers the question of strengths and weaknesses, risks and opportunities for quality content. The result is knowledge applicable in the creation of content for new study programs of the Faculty of Aeronautics of the Technical University in Košice.

Wizzair was the first low-cost airline to operate at Kosice Airport. From the beginning, it has shown exceptionally good results and the occupancy of its lines has been over 80%. The situation that took place in Vienna forced Wizzair to cancel the base in Kosice and to move the fleet to Vienna. Ryanair takes advantage of this change and enters the market with practically the same line as Wizzair from Kosice to London. The aim of this paper is to describe the situation at Kosice airport. The competitive fight between these two companies is visible from the very first moment when Ryanair introduced its flights at a much better price than Wizzair. The paper also focuses on the comparing these prices and fares as well as the profit over the period under review.

Accurate navigation systems allow us to optimize the trajectory of flying objects and thus solve environmental problems in aviation and their impact on public health. In this paper, we present one of the methods of assessment of accuracy and resistance to interference of distance-measuring equipment (DME). By using computer technology, the method enables us to determine the potential but also the real error measuring the distance of the flying object from DME. The credibility of the respective results of the solution on the task of DME optimal rangefinder synthesis depends on the accuracy of the previous data used, i.e., mathematical models of the respective flying objects flight dynamics, useful signals, and their parameters and interference. DME systems have an impact on air transport safety, and therefore the impact of interference on their operation must be investigated.