Intelligent Data Processing Technologies for Resource Management in Manufacturing Scheduling
- 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/).
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 -