Digital Library

of the European Council for Modelling and Simulation



Knowledge Based Extendable Simulation Of Pig Iron Allocation


Diego Díaz, Sergio Rodríguez, Francisco J. Lago,

M. Teresa Rodríguez

Published in:


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


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.



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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