Synergy of Services within SOA

Ivanochko, Iryna; Greguš, Michal; Urikova, Oksana; Alieksieiev, Ihor

doi:10.1016/j.procs.2016.09.029

Cited by 6 publications

(1 citation statement)

References 17 publications

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“…Efficiency of each production enterprise activity is estimated here as a parameter proportional to its relative (comparing to the total of two production enterprises) production capacity. Herewith, the levels of ancillary quantities, Qord (i) , Qmax (i) , i = 1, 2, are considered, i.e., for enterprise 1, the level of quantity, Qord (1) , is:…”

Section: Level Of Production Orders Income and Investmentsmentioning

confidence: 99%

Considering Random Factors in Modeling Complex Microeconomic Systems

et al. 2020

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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.

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Section: Level Of Production Orders Income and Investmentsmentioning

confidence: 99%