The dynamic properties of the system are captured by the time step variable method. In contrast to the analytical solution, the stochastic elements of the system are captured by an algorithm in the order to generate the value of random variables in simulation model. Simulation methods make it possible to eliminate the most of the obstacles that arise from the analytical solution of queuing systems such as queuing system of post office. The starting point for solving more complicated optimization tasks is to create a system model that includes elements of reality and the relationships between these elements. This post office is situated in town Bytca. For this research specific post office was selected. The paper displays the usage of simulation method as a tool for optimizing costs of particular post office. Based on this facts, the aim of this paper is to analyze, define and characterize the impact of digital technologies on the labor market and its potential impact in the field of transport labor market. Beginning to promote online work platforms, changing local and global labor markets. Digital technologies as well as digital services change the rules of employment and the requirements of competences, knowledge, skills and attitudes of employees. This threats, like in every other industrial revolution are in the form of new challenges for employers and employees. On the other hand, digitalization or so called digital disruption has brought threats with it. The process of digitalization has created opportunities for new products, technologies and processes. They affect not only our society and economy but also transport industry. Digital transformation is based not only on the internet but above all on the latest digital technologies that have become an integral part of our lives.
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One of the key drivers of this change is digital transformation.
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running the simulation on a tablet, in the browser, offline in Excel, or scaled up on a powerful cloud cluster.The economy and society as we know is constantly changing.
We also build custom simulations, visualisations and integrations, e.g.
From near-operational, day-to-day planning of production lines in manufacturing plants to long term scenario analyses of cycles in asset-heavy industries using System Dynamics. We have a long track record of working with clients to define, implement and maintain simulation models for decision support across many industries, functions and time scales. With a rich history dating back to the 1950's, this is one of the earliest applications of computers in management science. For these reasons simulation models allow managers to assess the impact of a decision before it is made. Furthermore, we only have one physical reality to try something new.
Most business decisions, whether strategic or operational are made without any option to 'undo' and mistakes can be costly. Planning, forecasting, test-driving your strategy Use simulation to discover new ways of improving the business, without risking it
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