Abstract

Within the framework of a model describing real-functioning association of three enterprises, numerical calculations of economic dynamics parameters considering fluctuating market demand for the goods were performed. A methodology was suggested for approximated consideration of both seasonal and random demand fluctuations at the market of textile garments; the main steps of the suggested methodology were described. The main exogenous random factors within this model include, as stated above, the volume of market demand for the goods produced by the enterprises of the group. The basic volume of market demand is considered at the average actual level according to the results of the enterprises’ analysis, and additionally we take into account the influence of non-price factors, such as random changes in the consumers’ tastes, consumers’ income, and other random factors on the market demand. By volume of market demand, we consider the total amount of goods produced by the enterprises of the group that all consumers are willing and able to purchase at a specific price in a marketplace. The calculations were made based on actual values of external economic parameters, such as labor cost, product prices, etc. Influence of the market demand fluctuations on the companies’ activity has been illustrated both numerically and graphically, allowing the analysis of the impact of exogenous parameters on the companies output and profits. The suggested approach creates a basis for further analysis of the impact of random factors of a similar nature, i.e., stochastic shocks related to the level of interest rates, shifts and turnabouts in the social environment, as well as the market transformations due to annual/seasonal epidemics.

Highlights

  • Analysis of companies and associations of companies acting as complex economic systems is an important instrument of management

  • Our work presents a practical application of random factors impact analysis related to a commonly applied structure of cooperation between production and sales units, which gives a basis for solving a broad spectrum of tasks within similar economic systems

  • In the previous works mentioned above, we presented a general mathematic model describing economic dynamics of three associated enterprises

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Summary

Introduction

Analysis of companies and associations of companies acting as complex economic systems is an important instrument of management. Defining such systems’ potential and forecasting their activity can be a basis for grounded managerial decisions and serve as an instrument for controlling company’s activity. Such characteristics of complex economic systems, such as cohesiveness, dynamism, uncertainty, correlation with environment, etc., should be taken into account. Mathematics 2020, 8, 1206 interrelations between different variables, generalizing results of economic analysis, and defining optimal managerial decisions. Mathematic modeling, constantly advancing, shaping up, and reflecting basic needs of contemporary informational society, is one of the necessary tools for processing economic information

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