Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications

Effectiveness of Vehicle Dynamic Reassignment Dispatching in Interbay Material Handling System

Authors
Jianping Chen, Beixin Xia, Xin Chen
Corresponding Author
Jianping Chen
Available Online November 2016.
DOI
https://doi.org/10.2991/aiea-16.2016.24How to use a DOI?
Keywords
Multi-attribute; Dynamic scheduling; Interbay System; AMHS.
Abstract

This paper proposed a multi-attribute of intelligence dynamic scheduling method in Interbay automated material handling system (AMHS), this method can response to OHS idle status and wafer lot's request in real-time, then developed an optimal re-assignment, thus promoting the performance of the Interbay material handling system. Experiment results demonstrate that the proposed rule has better comprehensive performance than traditional dispatching rules.

Copyright
© 2016, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications
Series
Advances in Computer Science Research
Publication Date
November 2016
ISBN
978-94-6252-270-1
ISSN
2352-538X
DOI
https://doi.org/10.2991/aiea-16.2016.24How to use a DOI?
Copyright
© 2016, 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  - Jianping Chen
AU  - Beixin Xia
AU  - Xin Chen
PY  - 2016/11
DA  - 2016/11
TI  - Effectiveness of Vehicle Dynamic Reassignment Dispatching in Interbay Material Handling System
BT  - Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications
PB  - Atlantis Press
SP  - 135
EP  - 139
SN  - 2352-538X
UR  - https://doi.org/10.2991/aiea-16.2016.24
DO  - https://doi.org/10.2991/aiea-16.2016.24
ID  - Chen2016/11
ER  -