Proceedings of the Russian Conference on Digital Economy and Knowledge Management (RuDEcK 2020)

Application of Cluster Analysis for Business Processes in the Implementation of Integrated Economic and Management Systems

Authors
L.A. Korobova, T.V. Gladkikh, E.A. Savvina, E.N. Kovaleva, O.O. Lukina, I.S. Tolstova
Corresponding Author
L.A. Korobova
Available Online 1 August 2020.
DOI
10.2991/aebmr.k.200730.059How to use a DOI?
Keywords
logistic management methods, cluster analysis, cluster, transport problem, enterprise logistics, linear programming, optimization problem, economic problems
Abstract

The use of logistic management methods at all levels of management arouses interest in world experience in providing economic recovery, solving crisis problems, and globalizing economic problems. Particular attention in logistics is paid to the principles of rational organization of the production process, i.e. organization of rhythmic, coordinated work of all parts of production in accordance with a single schedule and uniform release, ensuring maximum continuity of production processes, maximum reliability of planned calculations and the minimum complexity of planned works. To ensure the effective functioning of logistics companies, it is necessary to use modern management methods, improve coordination of processes in the logistics chains. It is also important to develop and implement advanced information technologies that support all key management processes of a logistics company and ensure its integration with partners in the process of goods distribution. The article considers the urgent task of developing a mathematical model of route planning that allows setting information about the movement of cargo with the definition of the shortest path. To improve the methods for solving the transport problem, we propose to use the cluster analysis method, which allows calculating the optimal route for the vehicle. Earlier, when finding a reference plan for production, one of the values was entered in the data table: tariff for the transportation of goods, transportation distance, cost, etc., which did not allow the calculation of the optimal route for delivering goods to a given point. The use of cluster analysis allows solving the problem of route planning in order to collect information about the movement of goods in online mode, make flight schedules, and easily create reports and documents for enterprise logistics.

Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the Russian Conference on Digital Economy and Knowledge Management (RuDEcK 2020)
Series
Advances in Economics, Business and Management Research
Publication Date
1 August 2020
ISBN
10.2991/aebmr.k.200730.059
ISSN
2352-5428
DOI
10.2991/aebmr.k.200730.059How to use a DOI?
Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - L.A. Korobova
AU  - T.V. Gladkikh
AU  - E.A. Savvina
AU  - E.N. Kovaleva
AU  - O.O. Lukina
AU  - I.S. Tolstova
PY  - 2020
DA  - 2020/08/01
TI  - Application of Cluster Analysis for Business Processes in the Implementation of Integrated Economic and Management Systems
BT  - Proceedings of the Russian Conference on Digital Economy and Knowledge Management (RuDEcK 2020)
PB  - Atlantis Press
SP  - 316
EP  - 323
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.200730.059
DO  - 10.2991/aebmr.k.200730.059
ID  - Korobova2020
ER  -