Generolo Jono Žemaičio Lietuvos karo akademija

A multidimensional analysis of one of main macroeconomic indicators, specifically, unemployment, in the United States was conducted and presented in the article. The research covered several groups of dependent variables, such as: the number of unemployed people in total in the United States monthly, along with unemployment rates, CPI indices, and unemployment in respective US states. The evaluation of the conducted research is that from January 2020 to October 2023 there had been a visible decrease in unemployment rates, and their level is similar to the values recorded from January 2018 to January 2020, which clearly proves that the crisis caused by the COVID-19 pandemic has been averted. The analysis method was used in the study, i.e. distribution of variables into prime factors and comparison dynamically in order to detect the regularities occurring in them.

The study attempts to forecast the total costs of a company in Poland. The first stage of the research was analyzing and evaluating the time series of total costs. It detected: trends, seasonality and a random factor. This became a premise for the application of two methods for forecasting: Holt-Winters’ multiplicative and additive. The research shows that the Holt-Winters’ multiplicative model proved to be better in forecasting total costs in the research subject. The forecasted total costs from July to December 2022 will reach PLN 45 395 685, while from January to December 2023, their value will amount to PLN 85 948 927.

The study focuses on the generalization of the methodology of transport planning with the use of the LOGFAS IT system. The main activities that must be performed in order to plan the transport correctly in the IT software were presented. This process requires a lot of experience and work in many program modules and the implementation of a lot of different information without which planning is impossible.