Mazhara G. A., Ph.D. in economics, senior lecturer at the Department of Economic Cybernetics, National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute», Kyiv, Ukraine

ORCID ID: 0000-0002-1860-756X
e-mail: SkyDoor13@gmail.com

Kapustyan V. O., D. Sc. Phys. & Math., Professor, Professor of the Department of Economic Cybernetics, National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute», Kyiv, Ukraine

ORCID ID: 0000-0002-5035-809X
e-mail: kapustyanv@ukr.net

Simulation modeling of the company’s behavior on the example of a travel agency under conditions of unclearly data

Abstract. Introduction. The paper considers one of the tasks of the tourism business. Methodological manuals on the tourism business were developed and the subject of the study was the activity of a travel agency in a market economy. The purpose of each farm is to make a profit, so among all the tasks of the travel agency in the market, one of the most important is customer service with the help of managers, the number of which directly affects the income of the agency.

Purpose. Was to find the optimal number of managers, with the simulated parameters of the travel agency, at which the profit from the sale of travel vouchers will be maximum. For this purpose, possible research methods were considered and a model of a travel agency was built and its adequacy to a real object was proved.

Results. The main method in solving the problem was the method of simulation, so you need a program that uses this method. After all, it must work according to a certain algorithm for a specific application problem, according to the model, as well as solve the problem the required number of times. Therefore, according to this model, a software product was written using the Delphi 7 programming language, to solve the problem in an automated way. The program is modeled separately every day, and such simulations do not affect each other. The program is written for a quick multivariate solution of this problem, and problems derived from it.

First, the model is set implicitly. Second, the simulation conditions are given by fuzzy sets. And thirdly, the indicators of the model itself can be removed from it during modeling, at the request of the user. Thus, the model and the program help to adjust it to any market changes.

Conclusions. After reviewing the financial report of the travel agency ” Defainse”, it was calculated that the result of the simulated travel agency corresponds, with 90% accuracy, to the results of the travel agency “Defainse”.

Using this work in the tourism sector, each company will be able to work more efficiently, and customers will not have to stand in line, it will positively affect the sphere of tourism services, leisure and mood of citizens, which will undoubtedly benefit the tourism industry in Ukraine as a whole.

Keywords: economics; behavioral economics; tourism; business; travel agency; modeling; management effectiveness analysis.

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