Определение критической массы ядра нефтедобывающего кластера с использованием теории графов
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Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

Determination of the critical mass of the core of an oil-producing cluster using graph theory

Kozhemyakin L.V.  

UDC 51-74
DOI: 10.26102/2310-6018/2020.30.3.015

  • Abstract
  • List of references
  • About authors

Despite the fact that the cluster approach is quite common in scientific research, the issues of formation, development and evaluation of the effectiveness of cluster-network interactions remain unresolved. The relevance of the research is because with the optimal mechanism of the cluster-network approach, it is possible to maximize the profit of participants in cluster-network relations, thereby increasing tax revenues to the budget, ensuring the growth of GRP in the region. In this regard, this paper considers one of the elements of cluster-network approaches as a tool for managing regional development of regions focused on the extractive industry. This approach allows us to develop and implement effective tools to stimulate the development of the socio-economic system of the region and organizations. Management refers to the variability of structural shifts in the sector economy by redistributing key subsectors. This paper uses graph theory to determine the critical mass of the cluster core. The paper focuses on the cluster core and its critical mass as one of the indicators of the cluster policy mechanism. Under critical mass, we will understand the development of cluster-network connections of cluster participants. The hypothesis about the influence of critical mass core to the ability and desirability to developments in the mining sector in such a way that changes the final graph elements that are set in accordance with podotraslej, leads to substantial changes in the industry. The materials of the article are of practical value for participants in cluster-network interactions of oil and gas sector entities, who can maximize the volume of production of goods and services, increase profitability and business profitability indicators by optimizing the cluster-network mechanism.

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Kozhemyakin Leonid Valeryevich

Email: lvkozhemyakin@yandex.ru

Perm National Research Polytechnic University

Perm, Russian Federation

Keywords: cluster-network connections, oil industry, cluster core, graph theory, optimal path

For citation: Kozhemyakin L.V. Determination of the critical mass of the core of an oil-producing cluster using graph theory. Modeling, Optimization and Information Technology. 2020;8(3). Available from: https://moit.vivt.ru/wp-content/uploads/2020/08/Kozhemyakin_3_20_1.pdf DOI: 10.26102/2310-6018/2020.30.3.015 (In Russ).

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