Synchromodal container logistics for Australia. Synchromodal container logistics for Australia. This project aims to develop advanced mathematical optimization models and algorithms to create multi-modal logistics approaches for container movements in and out of Australia’s busy ports. The increasingly congested capital cities of Sydney, Brisbane and Melbourne need to find new ways of moving an increasing volume of containerized freight. Moving from trucks to rail is expected to reduce pollution ....Synchromodal container logistics for Australia. Synchromodal container logistics for Australia. This project aims to develop advanced mathematical optimization models and algorithms to create multi-modal logistics approaches for container movements in and out of Australia’s busy ports. The increasingly congested capital cities of Sydney, Brisbane and Melbourne need to find new ways of moving an increasing volume of containerized freight. Moving from trucks to rail is expected to reduce pollution and road congestion, but is only possible if highly efficient modes of operation can be developed. Research into system design and operational scheduling is expected to achieve the required efficiency for multi-modal logistics that will reduce air pollution and road congestion.Read moreRead less
Competitive supplier bidding in supply chains. This project will use mathematical modelling to contribute to better management practice in dealing with procurement. With the increasing use of auctions and sophisticated bidding procedures it is essential to improve our understanding of this important area.
Discovery Early Career Researcher Award - Grant ID: DE120100049
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
New integer programming based theory, formulations and decomposition techniques with applications to integrated problems. Optimisation problems permeate science and industry. By developing new techniques to solve larger and harder problems than is currently possible, more complex questions can be answered, and more accurate solutions obtained. Industries can use such tools to make better financial, resource management, operational, and/or strategic planning decisions.
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
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.