Browsing by Author "Prestwidge, DB"

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Delivering the capability to evaluate alternative cane supply arrangements across the sugar industry using a whole industry systems approach : SRDC Final report CTA0044
(SRDC, 2002) Higgins, AJ; Muchow, RC; Haynes, MA; Peel, SL; Prestwidge, DB; Williamson, MA
Increasing cost/price pressure has forced the Australian sugar industry to seek innovative avenues for increasing profitability. To address this, the industry saw opportunities for increasing productivity and hence profitability through optimising the harvest date of sugarcane. Optimising the harvest date of sugarcane accounts for geographical and crop differences in cane yield and the sugar content of cane for different harvest dates throughout the harvesting season. Whole-ofsystem research within CRC-Sugar produced the statistical and optimisation models needed to conduct options analysis for these alternative cane supply arrangements using case studies in Mackay and Mossman. Options analysis using data from these case studies showed average potential gains in profitability of $119/ha for Mackay and $79/ha for Mossman, at a sugar price of $350/t. To provide the capacity for evaluating and implementing alternative cane supply options in other mill regions, computer tools, user interfaces and standardised databases were developed. The use of this software and documented processes was applied not only to the case study regions but also in partnership with other mill regions, namely Maryborough and the Burdekin. Key outcomes were the reduction in time from start-up to implementation reduced from four years down to one year, an increased uptake from growers and harvesting groups, ease of interpretation of schedules, and increased interest from other mill regions. A computer tool was also developed for the mathematical cane yield re-estimation model, and was used successfully by the Mossman cane inspector during the 2001 harvest season.
Integrated value chain scenarios for enhanced mill region profitability
(2005) Thorburn, PJ; Archer, AA; Hobson, PA; Higgins, AJ; Sandel, GR; Prestwidge, DB; Andrew, B; Antony, G; McDonald, LJ; Downs, P; Juffs, R
The Australian sugar industry has recently faced an unprecedented cost-price ‘squeeze’ from a run of poor seasons and the collapse of the sugar price. As a result there is impetus to consider diversifying products from the raw sugar production value chain. The chain is complex however, and alternative products will necessitate substantial changes to the chain, the impacts of which will be difficult to predict a priori. Modelling offers insights into the impacts of, and benefits from changes to value chains. Analyses of the chain should, ideally, be conducted in enough biophysical detail to allow the logistical challenges to be properly analysed. The application of these modelling techniques in a participatory environment would allow groups within mill regions to more thoroughly evaluate diversification options of their sugar value chains in their region, and so move forward with more confidence and greater understanding than occurs with other approaches. While participatory modelling has previously been undertaken for issues in one or two sectors of the Australian sugar value chain, it has not been attempted for the whole of the chain before. In this project we aimed to facilitate the improved economic efficiency of the sugar industry value chain through developing and participatively applying an innovative modelling capability that allowed industry groups to identify and evaluate sugar value chain diversification options. The project was conducted in partnership with all sectors of the Burdekin and Maryborough industries. The first phase of the project entailed working with the regional groups to identify and prioritise potential diversification options for their region. In both regions whole crop harvesting to maximise electricity co-generation was identified as the highest priority venture for consideration in the project. In the Burdekin, two contrasting mill regions (Invicta and Pioneer) were analysed to maximise the relevance of the results to the region.