Download (4Mb) - USQ ePrints - University of Southern Queensland
Download (4Mb) - USQ ePrints - University of Southern Queensland
Download (4Mb) - USQ ePrints - University of Southern Queensland
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
• Harvest and transport logistics.<br />
• Business integration, information transparency and assessment <strong>of</strong> new payment formulas.<br />
• Assessment <strong>of</strong> product diversification and new markets through co-generation.<br />
This section provides a brief overview <strong>of</strong> these tools with some examples <strong>of</strong> their application in<br />
specific mill areas. The key message is that modelling provides a powerful tool to assess supply chain<br />
development and management, however, it needs to be site and situation specific and does not always<br />
ensure adoption for the reasons discussed in section 6.1 to 6.3.<br />
Most research has focused on logistical opportunities, particularly in the harvesting and transport<br />
sectors which provide more challenges than other sectors. Opportunities such as harvester/siding<br />
rosters, time <strong>of</strong> window harvesting, scheduling have benefits that are easy to quantify and assess and<br />
can be adopted without extensive changes to current systems (Higgins and Archer, 2005). Non<br />
logistical opportunities have focused on increased information transparency, building new markets or<br />
business process integration.<br />
While there have been many models developed within the Australian sugar industry they generally<br />
only consider activities or processes in a single sector (see Table 6.1). It is only relatively recently that<br />
there has been development <strong>of</strong> multi-sector models, focussing on the interface between the harvesting<br />
and transport sectors. Thorburn et al (2006) applied these modelling techniques in a participatory<br />
environment to allow groups within mill regions to more thoroughly evaluate diversification options<br />
<strong>of</strong> their sugar value chains in their region, and so move forward with more confidence and greater<br />
understanding than would have occurred with previous approaches.<br />
Table 6.1 Examples <strong>of</strong> the processes that have been modelled within the different sectors <strong>of</strong> the<br />
Australian sugar industry (Thorburn et al 2006).<br />
Sugarcane<br />
production<br />
Harvesting Transport Milling/Factory<br />
• Cane and sugar<br />
growth, responding to:<br />
− Nitrogen<br />
− Irrigation<br />
− Trash blanket<br />
dynamics<br />
• Statistical CCS and<br />
cane yield estimation<br />
• Harvest haul model<br />
• Harvesting group<br />
roster optimisation<br />
• Harvesting group-tosiding<br />
optimisation<br />
• Capacity planning<br />
tools for transport<br />
• Road transport<br />
schedule optimisation<br />
• Siding location and<br />
pad optimisation<br />
• Rail transport<br />
schedule optimisation<br />
and schedule checking<br />
simulation models<br />
• Raw sugar<br />
manufacture<br />
• Cane handling<br />
• Trash separation<br />
• Co-generation<br />
Underpinned by:<br />
• GIS techniques<br />
• Database techniques for whole-<strong>of</strong>-industry models<br />
• Field and satellite information<br />
• GPS and vehicle tracking<br />
150