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SOME ASPECTS OF APPLYING THE THEORY OF CUSTOM SERVICE IN ECONOMIC ANALYSIS

Journal: International Scientific Journal "Internauka" (Vol.1, No. 126)

Publication Date:

Authors : ; ; ;

Page : 13-16

Keywords : queuing theory; task flow; time; economic analysis; modeling;

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Abstract

The article is devoted to the mathematical foundations of queuing theory, analytical and numerical methods used in it. The essence of the theory of queuing and the need to apply it in the analysis of economic entities. This is due to the increase in the objects of analytical research and management functions, which requires improved analysis of enterprises. The theory of queuing is used in cases where the requirements for service are received en masse with their subsequent satisfaction. The possibility of applying queuing theory models to solve applied problems is substantiated. The following factors are taken into account: the frequency of changes in the number or requirements; the likelihood of significant customer demand, a way to determine the cost of waiting and improve service. It is determined that the main task of queuing theory is to identify the dependence of system efficiency indicators on the nature of input flow, discipline and queue limitation, number, performance and operating conditions of channels in order to further optimize it. One of the characteristics of queuing theory is the time when the customer is in line. The queuing theory helps to develop balanced systems that serve customers quickly and efficiently and the results are often used in business decisions about the resources needed to provide services. The algorithm of calculation of indicators for maintenance of work and minimization of time of processing of orders in the field of service is considered. It is proved that analytical methods of queuing theory allow to obtain the characteristics of the system in the form of functions from the parameters of its functioning. Due to this, it is possible to conduct a qualitative analysis of the impact of individual factors on the efficiency of the queuing system.

Last modified: 2022-07-27 17:51:34