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Adaptive Supply Networks

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Capital Intensive Supply Chains

In capital intensive supply chains - mining, minerals, heavy industry and bulk materials handling - the Adaptive Supply Networks team provides analytical products and services for:

  • planning and scheduling;
  • estimating the benefits of capital investments;
  • evaluating changes in operating policies;
  • analysing variability in supply chain blending and throughput performance

We have delivered tailor-made decision-support software tools and research-backed quantitative analysis services to many industry partners in Australia and overseas.

20 April 2009

Analysis of coal terminal operations data

Variability of the times required for physical processes at a port can have a great impact on its performance. However, not only physical processes can cause delays and, thus, loss of throughput. Changes to agreements too can inhibit a performance of a port. We have analyzed data from a coal terminal, looking at overall system performance, major physical processes and changes to contracts...

Read more about this analysis of port variability.

13 February 2009

Optimal stockpile blending

The short-term aspect of optimal stockpile blending is concerned with building a stockpile with specified target grades, while the long-term practical challenge is in predicting how much grade variation will be encountered during the period over which a mineral deposit is developed. During 2009, the Adaptive Supply Networks team will be transforming our research findings in optimised blending with uncertainty into a commercial-grade product for use by industry...

Read more about optimal stockpile blending.

13 February 2009

Stockyard scheduling and optimisation

Bulk materials stockyards (for coal, minerals or agricultural commodities) are complex and pose substantial challenges for terminal operators and supply chain planners. CSIRO is undertaking research into stockyard optimisation systems. This research is producing smart tools that will help businesses get on top of stockyard scheduling, stockyard configuration and supply chain design questions...

Read more about stockyard scheduling and optimisation.

10 February 2009

Grade variation and optimal decision-making in minerals supply chains

Over many years we have worked with mining companies to help them to tackle complex logistics questions and assess their sampling, calibration and testing systems. Based on our experience and observations, we believe that decision makers in mining companies will always have to make decisions that influence product quality using information which is less accurate than they would like. The relationship between information accuracy, uncertainty and the optimality of decisions is complex. Our research and development directly addresses the tension between uncertainty and optimisation...

Read more about grade variation and optimal decision-making.

10 February 2009

Stockpile modelling using CHASM

To answer questions like "How big a stockpile do we need?", it is essential to consider carefully the purposes of the stockpile and to think about the stockpile within the context of other mining processes. The three most common purposes for stockpiles are buffering, blending and targeting. CSIRO has developed a computer program - CHASM - for modelling the blending function of stockpiles...

Read more about stockpile modelling using CHASM.

2005

Transport and logistics planning

CSIRO Mathematics, Informatics and Statistics have significant expertise in providing analytical decision support for transport and logistics planning particularly in the bulk materials handling industry and agribusiness. This includes estimating benefits provided by proposed capital investments, planning and operational scheduling, dynamic rescheduling, evaluating changes to operating policies through scenario analysis, capacity and bottleneck calculations and analysis of variability in blending and throughput performance... more (PDF)

Page last updated October 29, 2009 12:44 PM.
ASN sub-site maintained by Simon Dunstall.

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