A decision support system for ore blending cost optimization problem of blast furnaces

Zhang, R; Wei, J; Lu, J; Zhang, G

A decision support system for ore blending cost optimization problem of blast furnaces

Zhang, R Wei, J Lu, J

Zhang, G

Permalink

Publication Type:: Conference Proceeding
Citation:: Smart Innovation, Systems and Technologies, 2010, 4 pp. 143 - 152
Issue Date:: 2010-12-01

Closed Access

	Filename	Description	Size
	2010001508OK.pdf		655.64 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Zhang, R	en_US
dc.contributor.author	Wei, J	en_US
dc.contributor.author	Lu, J https://orcid.org/0000-0003-0690-4732	en_US
dc.contributor.author	Zhang, G https://orcid.org/0000-0003-3960-0583	en_US
dc.date.issued	2010-12-01	en_US
dc.identifier.citation	Smart Innovation, Systems and Technologies, 2010, 4 pp. 143 - 152	en_US
dc.identifier.issn	2190-3018	en_US
dc.identifier.uri	http://hdl.handle.net/10453/16298
dc.description.abstract	In iron and steel enterprises, it is difficult to obtain the lowest-cost optimal solution to an ore blending problem for blast furnaces by using the traditional trial-fault-trial (TFT) method because of the complexity of materials and burden of workflow. Here, we develop a set of decision support systems (DSS) software to solve the problem. Using the basics of analyzing business flow and the working process of ore blending, we pre-process the data for materials and elements, abstract a non-linear model of ore blending for a blast furnace, design the architecture for ore blending cost optimization DSS which integrates a database, a model base and a knowledge base, and solve the problem. The system has made economic gains since it was implemented in Xiangtan Iron & Steel Group Co. Ltd., China, in September 2008. © Springer-Verlag Berlin Heidelberg 2010.	en_US
dc.relation.ispartof	Smart Innovation, Systems and Technologies	en_US
dc.relation.isbasedon	10.1007/978-3-642-14616-9_13	en_US
dc.title	A decision support system for ore blending cost optimization problem of blast furnaces	en_US
dc.type	Conference Proceeding
utslib.citation.volume	4	en_US
utslib.for	080605 Decision Support and Group Support Systems	en_US
dc.location.activity	Baltimore, USA	en_US
dc.location.activity	ISI:000281503100002
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	4	en_US

Abstract:

In iron and steel enterprises, it is difficult to obtain the lowest-cost optimal solution to an ore blending problem for blast furnaces by using the traditional trial-fault-trial (TFT) method because of the complexity of materials and burden of workflow. Here, we develop a set of decision support systems (DSS) software to solve the problem. Using the basics of analyzing business flow and the working process of ore blending, we pre-process the data for materials and elements, abstract a non-linear model of ore blending for a blast furnace, design the architecture for ore blending cost optimization DSS which integrates a database, a model base and a knowledge base, and solve the problem. The system has made economic gains since it was implemented in Xiangtan Iron & Steel Group Co. Ltd., China, in September 2008. © Springer-Verlag Berlin Heidelberg 2010.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/16298