Condition-based maintenance optimisation for Australian sugar industry. The aim of this project is to develop innovative methodologies for the implementation of condition-based maintenance in the sugar milling industry. This is designed to optimise the allocation of limited maintenance resources and to significantly reduce the $350 million spent on maintenance in the industry each year. New methodologies will account for the seasonality of production and the complexity of allocating limited main ....Condition-based maintenance optimisation for Australian sugar industry. The aim of this project is to develop innovative methodologies for the implementation of condition-based maintenance in the sugar milling industry. This is designed to optimise the allocation of limited maintenance resources and to significantly reduce the $350 million spent on maintenance in the industry each year. New methodologies will account for the seasonality of production and the complexity of allocating limited maintenance resources across numerous equipment items and different production sites. The intended outcome of the project will improve the efficiency of maintenance and hence the global competitiveness of the Australian sugar industry.Read moreRead less
ARC Centre of Excellence for Mathematical and Statistical Frontiers of Big Data, Big Models, New Insights. In today's world, massive amounts of data in a variety of forms are collected daily from a multitude of sources. Many of the resulting data sets have the potential to make vital contributions to society, business and government, as well as impact on international developments, but are so large or complex that they are difficult to process and analyse using traditional tools. The aim of this ....ARC Centre of Excellence for Mathematical and Statistical Frontiers of Big Data, Big Models, New Insights. In today's world, massive amounts of data in a variety of forms are collected daily from a multitude of sources. Many of the resulting data sets have the potential to make vital contributions to society, business and government, as well as impact on international developments, but are so large or complex that they are difficult to process and analyse using traditional tools. The aim of this Centre is to create innovative mathematical and statistical models that can uncover the knowledge concealed within the size and complexity of these big data sets, with a focus on using the models to deliver insight into problems vital to the Centre's Collaborative Domains: Healthy People, Sustainable Environments and Prosperous Societies.Read moreRead less
Quantitative and qualitative aspects of Asian and Australian options. While Asian options are highly popular and traded over the counter all over the world, they are traded on an institutional basis in only very few countries. Australia is one of them. Variable purchase options (VPO's), where the payoff is determined by the quotient of a stock and its average price, are traded on the Australian stock exchange since 1992. They build an important component of the Australian derivatives market and ....Quantitative and qualitative aspects of Asian and Australian options. While Asian options are highly popular and traded over the counter all over the world, they are traded on an institutional basis in only very few countries. Australia is one of them. Variable purchase options (VPO's), where the payoff is determined by the quotient of a stock and its average price, are traded on the Australian stock exchange since 1992. They build an important component of the Australian derivatives market and are particularly interesting for foreign investors, who are not able to find this sort of financial product on their domestic markets. A better understanding of these products is necessary to maximize the benefits for Australia's financial markets and economy. Read moreRead less
Decomposition and Duality: New Approaches to Integer and Stochastic Integer Programming. Because of their rich modelling capabilities, integer programs are widely used in industry for decision making and planning. However their solution algorithms do not have the maturity of their cousins in convex optimisation, where the theory of strong duality is ubiquitous. Efficient methods for convex optimisation under uncertainty do not apply to the integer case, which is highly non-convex. Furthermore, i ....Decomposition and Duality: New Approaches to Integer and Stochastic Integer Programming. Because of their rich modelling capabilities, integer programs are widely used in industry for decision making and planning. However their solution algorithms do not have the maturity of their cousins in convex optimisation, where the theory of strong duality is ubiquitous. Efficient methods for convex optimisation under uncertainty do not apply to the integer case, which is highly non-convex. Furthermore, integer models usually assume the data is known with certainty, which is often not the case in the real world. This project will develop new theory and algorithms to enhance the analysis of integer models, including those that incorporating uncertainty, while also enabling the use of parallel computing paradigms. Read moreRead less
Mathematics and computing for integrated stockyard-centric management of mining supply chains. Blended mineral products, such as coal and iron ore, make a strong contribution to Australia's economy. Blending occurs in stockpiles, so to realise product value, stockyard and supply chain operational plans must align with blend targets. This project will provide new mathematical and computational planning tools to maximise this value.
New theory and methods for robust global optimisation: modern decision-making under uncertain conditions. The project will produce enhanced optimisation methodologies for solving a wide range of industrial and scientific problems that are affected by data uncertainty and are currently too complex to be solved. The work has the potential to improve the quality and the performance of various Australian industries and many areas of scientific research.
Industrial Transformation Training Centres - Grant ID: IC140100032
Funder
Australian Research Council
Funding Amount
$2,119,872.00
Summary
ARC Training Centre for Food and Beverage Supply Chain Optimisation. ARC Training Centre for Food and Beverage Supply Chain Optimisation. With 15 per cent of the Australian workforce involved in food production and annual food exports of $30.5 billion, the food industry is clearly vital to the Australian economy. The National Food Plan White Paper states as a goal for 2025: "The value of Australia's agriculture and food-related exports will have increased by 45 per cent (in real terms), contribu ....ARC Training Centre for Food and Beverage Supply Chain Optimisation. ARC Training Centre for Food and Beverage Supply Chain Optimisation. With 15 per cent of the Australian workforce involved in food production and annual food exports of $30.5 billion, the food industry is clearly vital to the Australian economy. The National Food Plan White Paper states as a goal for 2025: "The value of Australia's agriculture and food-related exports will have increased by 45 per cent (in real terms), contributing to an increase in our gross domestic product." To make these aspirations a reality, safe, sustainable, and cost-effective, food supply chains will be essential. The Training Centre will train the next generation of multi-disciplinary researchers capable of designing and managing these supply chains.Read moreRead less
Maintenance Optimisation in Rail Infrastructure Systems for Coal and
Iron Ore Exports. Coal and iron ore exports, worth around 55 per cent of Australia's export earnings, critically depend on the transport capacity provided by Australia's rail infrastructure. Maintenance plays a crucial role in ensuring that infrastructure components are in a condition to provide safe, reliable, and efficient transport. However maintenance activities also reduce the system capacity, and are costly. It is thus c ....Maintenance Optimisation in Rail Infrastructure Systems for Coal and
Iron Ore Exports. Coal and iron ore exports, worth around 55 per cent of Australia's export earnings, critically depend on the transport capacity provided by Australia's rail infrastructure. Maintenance plays a crucial role in ensuring that infrastructure components are in a condition to provide safe, reliable, and efficient transport. However maintenance activities also reduce the system capacity, and are costly. It is thus critical to sustaining the growth and competitiveness of Australia's coal and iron ore exports that maintenance is optimised so as to maximise system efficiency and delivered capacity. The project aims to achieve this by the development of new decision support technologies embedding innovative decision-making models and algorithms.Read moreRead less
Quantifying the impact of ambulance diversion for better stroke patient outcomes. It has been established that specialised care of stroke patients can significantly improve their outcomes. However, diverting ambulances to specialised stroke centres may affect the response time for future emergencies. This research aims to model the many complex response time factors and provide a quantitative measure of the impact of diversion.
Discovery Early Career Researcher Award - Grant ID: DE170100234
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Exact and hybrid algorithms for the Aircraft Landing Problem. This project aims to develop algorithms with superior guaranteed performance. Aircraft Landing Problems (ALP) are an important class of decision problems. Optimal solution of an ALP is applicable in transportation and health care delivery, benefitting systems experiencing long delays. This project aims to address several of the Australian Government's Science and Research Priorities, focusing on food supply chains, effective operation ....Exact and hybrid algorithms for the Aircraft Landing Problem. This project aims to develop algorithms with superior guaranteed performance. Aircraft Landing Problems (ALP) are an important class of decision problems. Optimal solution of an ALP is applicable in transportation and health care delivery, benefitting systems experiencing long delays. This project aims to address several of the Australian Government's Science and Research Priorities, focusing on food supply chains, effective operation and resource allocation in transport, and better models of health care delivery and services.Read moreRead less