A roadmap for simulation

Stange, Wayne, Bye, Alan, Beaton, Nicholas, Groutsch, James and Manlapig, Emmy (2014). A roadmap for simulation. In: Juan Yianatos, XXVIl International Mineral Processing Congress - IMPC 2014: Conference Proceedings. XXVII International Mineral Processing Congress - IMPC 2014, Santiago, Chile, (127-137). 20-24 October 2014.

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Name Description MIMEType Size Downloads
Author Stange, Wayne
Bye, Alan
Beaton, Nicholas
Groutsch, James
Manlapig, Emmy
Title of paper A roadmap for simulation
Conference name XXVII International Mineral Processing Congress - IMPC 2014
Conference location Santiago, Chile
Conference dates 20-24 October 2014
Proceedings title XXVIl International Mineral Processing Congress - IMPC 2014: Conference Proceedings
Place of Publication Santiago, Chile
Publisher Gecamin Digital Publications
Publication Year 2014
Sub-type Fully published paper
Open Access Status
Editor Juan Yianatos
Start page 127
End page 137
Total pages 11
Collection year 2015
Language eng
Formatted Abstract/Summary
For over 50 years the JKMRC has applied a unique education-based research strategy to develop modelling and simulation tools that are "fit for purpose" for industrial application. These tools are widely used for the analysis and optimisation of mining and mineral processing systems. 

As the mining industry context evolves to deal with declining head grades, falling commodity prices, professional skill shortages, and an exponential growth in the volume of data, a re-evaluation of what "fit for purpose" means in the future is required. It is contended that future industry needs for simulation-based decision support requires tools and systems that incorporate:

• Multi-component modelling,
• Models of complex sensor behaviour,
• Integration across the physical value-chain e.g. resource to market,
• Financial analysis including risk and uncertainty assessment,
• Enabling multi-criterion decision making (technical, financial and environmental),
• Ore-body knowledge at multiple scales,
• The use of fundamental numerical models to provide insight for the development of practically
useful models, and
• Decision support delivered through remote operations centres.

JKMRC and CRC-ORE are collaborating to develop a next-generation simulation-based decision support system that assists in addressing these challenges. The Integrated Extraction Simulator (IES) combines many years of pragmatic and successful work integrated with modern technology trends -in particular the rapid move to cloud-based computing.
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

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Created: Tue, 18 Nov 2014, 10:39:40 EST by Karen Holtham on behalf of Julius Kruttschnitt Mineral Research Centre