Information-Entropy Model of Making Management Decisions in the Economic Development of the Enterprises

Autor: Marharyta Sharko, Nataliya Gusarina, Nataliya Petrushenko
Rok vydání: 2019
Předmět:
Zdroj: Advances in Intelligent Systems and Computing ISBN: 9783030264734
ISDMCI
DOI: 10.1007/978-3-030-26474-1_22
Popis: The main problem of making managerial decisions in predicting the innovative development of the enterprises under the influence of the environment is to obtain the required volume of quality information, since its small number reduces the accuracy of forecasts, and the greater is associated with the difficulties of processing the production data. The methodological approach is substantiated and the information-entropy model of the quantitative estimation of necessary input information is proposed when making managerial decisions on the innovative development of enterprises caused by fluctuations of the external environment such as the difference between a priori and a posteriori information of the main factors characterizing production activity. An algorithm for eliminating uncertainty, structuring information needs, and means of providing information management as a strategic resource of the dynamics of the flow of production processes is created. An experimental verification of the representativeness of the input information is carried out and it provides the opportunity to remove uncertainty in the formation of the mechanism of innovation development of enterprises in order to achieve a steady state of production. Determining the quantitative assessment of the required input information provides the opportunity to reduce the amount of stocks to compensate the impact of the environment, which will provide a significant economic effect. Calculations of apriori and aposteriori information and the size of entropy will give us the possibility to regulate the process of accumulation of the required amount of information when making managerial decisions.
Databáze: OpenAIRE
Externí odkaz: