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Digital Library of the
European Council for Modelling and Simulation |
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Title: |
Knowledge
Based Extendable Simulation Of Pig Iron Allocation |
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Authors: |
Diego Díaz, Sergio Rodríguez, Francisco J. Lago, M. Teresa Rodríguez |
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Published in:
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ECMS
2007 Proceedings Edited
by: Ivan
Zelinka, Zuzana Oplatkova, Alessandra Orsoni ISBN:
978-0-9553018-2-7 Doi:
10.7148/2007 21st European
Conference on Modelling and Simulation, Prague, June
4-6, 2007 |
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Citation
format: |
Diaz, D., Rodriguez, S., Lago, F.
J., & Rodriguez, M. T. (2007). Knowledge Based Extendable Simulation Of
Pig Iron Allocation. ECMS 2007 Proceedings edited by: I. Zelinka, Z.
Oplatkova, A. Orsoni (pp. 45-49). European Council
for Modeling and Simulation. doi:10.7148/2007-0045. |
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DOI: |
http://dx.doi.org/10.7148/2007-0045 |
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Abstract: |
In a site with one set of blast furnaces that must
feed two steel mills separated by over 13 kilometers, alloca- tion of hot pig
iron is a complex subject owing to the long cycle times and the large number
of parameters in- volved in the decision making. Simulation of the trans-
portation appears as an ideal solution to tackle this com- plexity. However,
allocation priorities are stategic issues that change in time, as does, if
less often, the available railway layout. A
simulation based decision support system has been developed to integrate in
the current torpedo tracking application that works around these difficulties
by gen- erating the simulations dynamically from three sources: a database
model of the transportation network, the dy- namic database that holds the
current state of the tor- pedo wagons (through the tracking application), and
a shared, updatable knowledge base made up of several sets of rules and
priorities, and conditional paths of rule- set selection. The knowledge base
is now being built on expert knowledge and current strategies, and will pro-
vide a framework for user-accessible update. |
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Full
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