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

Intelligent Data Processing Technologies for Resource Management in Manufacturing Scheduling

Authors
Murat Guzairov, Nafissa Yussupova, Dmitry Rizvanov
Corresponding Author
Murat Guzairov
Available Online December 2019.
DOI
10.2991/csit-19.2019.43How to use a DOI?
Keywords
resource management, manufacturing scheduling, decision making, multi-agent approach, Industry 4.0
Abstract

The paper deals with the problem of resource management in manufacturing scheduling. The authors consider the problem definition of resource management using ill-formalized constraints of non-numerical nature (“semantic domain constraints”). It is suggested to use intelligent data processing technologies resource management in manufacturing scheduling. This technology is based on multi-agent approach. The main idea is to represent the process of solving the task of resource management as a sequence of negotiations or communication interactions of agents. The behavioral algorithms for the main agents was developed: "detail", "operation", "resource".

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
978-94-6252-868-0
ISSN
2589-4900
DOI
10.2991/csit-19.2019.43How 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  - Murat Guzairov
AU  - Nafissa Yussupova
AU  - Dmitry Rizvanov
PY  - 2019/12
DA  - 2019/12
TI  - Intelligent Data Processing Technologies for Resource Management in Manufacturing Scheduling
BT  - Proceedings of the 21st International Workshop on Computer Science and Information Technologies (CSIT 2019)
PB  - Atlantis Press
SP  - 249
EP  - 252
SN  - 2589-4900
UR  - https://doi.org/10.2991/csit-19.2019.43
DO  - 10.2991/csit-19.2019.43
ID  - Guzairov2019/12
ER  -