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With the development of computers and software products, the importance of the use of quantitative methods for managerial decisions has been growing even when it comes to industrial companies. Decision making represents one of the most important managerial activities, which managers have to adopt on an everyday basis when conducting their work. The importance of the term managerial decisions is strongly linked to the fact that the quality and results of the decision processes have a great impact on the efficiency, operation and prosperity of industrial companies. Information plays a key role in decision-making processes. They are usually perceived as gathering processes and a transformation of input data to output information. A fundamental role in the process of gathering and collecting data and in their transformation into information is played by managers, whose knowledge, experience and intuition are necessary for making correct decisions. Time pressures and the limitation of individual sources hamper a proper search for all data, based on which managers can obtain high-quality information for their decisions. Poor-quality information and subsequent poor-quality decisions can form one of the reasons for a business failure. The Monte Carlo method represents one of the easily applicable computer solution simulation algorithms. The Monte Carlo algorithm is used for finding relations among individual quantities, which form a solution of a given explored problem and which provide characteristics of random processes that can be reproduced on computers. The objective of this article is to demonstrate an example of the use of the Monte Carlo algorithm for optimizing the number of workshop maintenance employees.

Keywords: Management science, optimisation, simulation, Monte Carlo algorithm

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