Proceedings of the 21st International Workshop on Computer Science and Information Technologies (CSIT 2019)

Resource Management Planning of Production Capacity

Authors
Dmitry Rizvanov, Evgeniy Chernyshev, Nafissa Yussupova
Corresponding Author
Dmitry Rizvanov
Available Online December 2019.
DOI
10.2991/csit-19.2019.54How to use a DOI?
Keywords
resource management, manufacturing scheduling, multi-agent approach
Abstract

Planning for the development of production facilities is necessary to ensure the effective functioning of the enterprise. To ensure the systematic development of production and the creation of new production facilities, it is proposed to use the developed software based on a multi-agent approach for information support of decision-making in the management of resources in production. A distinctive feature of the proposed software is the integration of multi-agent technologies and its own knowledge base, which allows you to take into account informal information about the subject area.

Copyright
© 2019, 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 21st International Workshop on Computer Science and Information Technologies (CSIT 2019)
Series
Atlantis Highlights in Computer Sciences
Publication Date
December 2019
ISBN
10.2991/csit-19.2019.54
ISSN
2589-4900
DOI
10.2991/csit-19.2019.54How to use a DOI?
Copyright
© 2019, 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  - Dmitry Rizvanov
AU  - Evgeniy Chernyshev
AU  - Nafissa Yussupova
PY  - 2019/12
DA  - 2019/12
TI  - Resource Management Planning of Production Capacity
BT  - Proceedings of the 21st International Workshop on Computer Science and Information Technologies (CSIT 2019)
PB  - Atlantis Press
SP  - 310
EP  - 316
SN  - 2589-4900
UR  - https://doi.org/10.2991/csit-19.2019.54
DO  - 10.2991/csit-19.2019.54
ID  - Rizvanov2019/12
ER  -