Data Processing Models and Algorithms for Outsourcing of Resources in the Production Scheduling Task

DOI

10.2991/aisr.k.201029.055How to use a DOI?

Keywords

resource management, manufacturing scheduling, resource outsourcing, multi-agent approach

Abstract

Production scheduling is often used to improve the efficiency of an enterprise. The task of production processes scheduling of an aircraft engine enterprise is considered in this article. Aircraft engine consists of a large number of different parts and assemblies (more than 100,000) that are manufactured in several production areas of various specializations. It is necessary to plan the work of the workshops so that the parts are manufactured by the same time to ensure assembly. Various abnormal situations often occur during the production process at the enterprise. These situations, together with the incorrect distribution of parts between workshops, can make a significant imbalance in the production of the final product. The solution to the problem of balancing the production plan of the workshop is possible using the model of inter-site outsourcing. The models and data processing algorithms based on multi-agent approach are proposed to solve the production scheduling problem with inter-site outsourcing.

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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TY  - CONF
AU  - Dmitry Rizvanov
AU  - Evgeniy Chernyshev
PY  - 2020
DA  - 2020/11/10
TI  - Data Processing Models and Algorithms for Outsourcing of Resources in the Production Scheduling Task
BT  - Proceedings of the 8th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2020)
PB  - Atlantis Press
SP  - 288
EP  - 294
SN  - 1951-6851
UR  - https://doi.org/10.2991/aisr.k.201029.055
DO  - 10.2991/aisr.k.201029.055
ID  - Rizvanov2020
ER  -