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Mathematical Modeling of Knowledge-Intensive Products Export Energy Costs
Author(s) -
V. Veretekhina Svetlana
Publication year - 2022
Publication title -
wseas transactions on power systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.165
H-Index - 14
eISSN - 2224-350X
pISSN - 1790-5060
DOI - 10.37394/232016.2022.17.1
Subject(s) - reliability (semiconductor) , computer science , service (business) , investment (military) , risk analysis (engineering) , production (economics) , operations research , industrial organization , business , environmental economics , economics , engineering , microeconomics , marketing , power (physics) , physics , quantum mechanics , politics , political science , law
This article presents the mathematical modeling of export energy costs. The knowledge-intensive products export energy costs are a set of financial, material, labor costs and resources consumption. Export costs are a multilevel system of indicators. The author sets out the order of mathematical modeling. At the first stage, the main trends in reducing export energy costs are identified. A set of integrated logistics support measures is modeled. The modeling of knowledge-intensive products export energy costs is a system of technical and economic indices and a cost value dependance: Maintenance and Repair, Material and Technical Maintenance, Business Model of After-Sales Service, Formation of the Cost of Insurance and Investment Management Strategy. Formulas, practical calculation examples and graphs are presented. The Ishikawa systematic analysis method is used to visualize data and dependence relations. The author's mathematical modeling of knowledge-intensive products export costs includes the calculation of integrated logistic support costs. Exporting countries require a high level of technical products efficiency. It has been established that "the more complex a knowledge-intensive products is, the higher the reliability of systems is". Reliability indices are basic. The author's scientific study confirms a hypothesis of the knowledge-intensive products export feasibility only with high reliability and efficiency factors. The author developed a set of integrated logistical support measures for knowledge-intensive products.

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