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Sixth International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'05)
An Integrated Platform for Distributed Knowledge-Based Production Scheduling
Las Vegas, Nevada
August 16-August 18
ISBN: 0-7695-2358-7
ASCII Text
x 
 
S. H. Choi, S. G. Kang, "An Integrated Platform for Distributed Knowledge-Based Production Scheduling," Computational Intelligence and Multimedia Applications, International Conference on, pp. 111-116, Sixth International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'05), 2005.
 
 
BibTex
x
 
@article{ 10.1109/ICCIMA.2005.10,
author = {S. H. Choi and S. G. Kang},
title = {An Integrated Platform for Distributed Knowledge-Based Production Scheduling},
journal ={Computational Intelligence and Multimedia Applications, International Conference on},
volume = {0},
year = {2005},
isbn = {0-7695-2358-7},
pages = {111-116},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICCIMA.2005.10},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computational Intelligence and Multimedia Applications, International Conference on
TI - An Integrated Platform for Distributed Knowledge-Based Production Scheduling
SN - 0-7695-2358-7
SP111
EP116
A1 - S. H. Choi,
A1 - S. G. Kang,
PY - 2005
KW - null
VL - 0
JA - Computational Intelligence and Multimedia Applications, International Conference on
ER -
 
S. H. Choi, University of Hong Kong
S. G. Kang, University of Hong Kong
Production scheduling is a complex decision-making process that is becoming more important than ever in competitive markets today. However, effective production scheduling remains a very challenging task, and the current production scheduling systems tend to be inflexible and expensive. Although domain knowledge and information are very important to scheduling decisions, scheduling systems usually cannot effectively make use of them. In this paper, A Multi-Scenario Analysis (MSA) model is proposed for distributed collaborative decision-making, based on which a Multi-Scenario Analysis-based Production Scheduling Platform (MSAPSP) is developed. The platform comprises a toolkit (MSADev) and an engine (MSARE) powered by a script language (EXASL). It provides a flexible and cost-effective tool to exploit domain knowledge and information for scheduling and rescheduling decisions.
Citation:
S. H. Choi, S. G. Kang, "An Integrated Platform for Distributed Knowledge-Based Production Scheduling," iccima, pp.111-116, Sixth International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'05), 2005
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