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
Ensuring Australia's competitiveness by implementing targeted performance measurement systems across the extended supply chain. This project will develop a framework to guide managers in designing, implementing, and using performance measurement systems across the industry supply chain to maximise the potential benefits of supply chain management. The outcomes enhance organisational competitiveness, supply chain competitiveness and boost Australia's economy.
Economically efficient green logistics through cyber physical systems. Economically efficient green logistics through cyber physical systems. This project aims to realize green logistics by researching how to run diesel-powered heavy-duty milk trucks economically and efficiently on liquefied natural gas (LNG) and demonstrating to logistics companies that LNG conversion will reduce operating costs and emissions. Transportation systems account for 18% of Australia's carbon emissions, and diesel-po ....Economically efficient green logistics through cyber physical systems. Economically efficient green logistics through cyber physical systems. This project aims to realize green logistics by researching how to run diesel-powered heavy-duty milk trucks economically and efficiently on liquefied natural gas (LNG) and demonstrating to logistics companies that LNG conversion will reduce operating costs and emissions. Transportation systems account for 18% of Australia's carbon emissions, and diesel-powered logistics vehicles are a major contributor. However, converting these trucks to LNG requires strong evidence to convince logistics companies of the benefits of shifting to green logistics. An increase in logistics productivity is expected to increase Australia’s gross domestic product by $2 billion, while this research should also provide vital data on sustainability issues and LNG conversions.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC190100026
Funder
Australian Research Council
Funding Amount
$4,969,663.00
Summary
ARC Training Centre for Cell and Tissue Engineering Technologies. The ARC Training Centre for Cell and Tissue Engineering Technologies aims to provide training to create a highly skilled workforce for the tissue engineering and regenerative medicine sector and to enhance research performance and innovation in Australia through fundamental and applied research carried out in industry-led PhD projects. The research aims to address major aspects of the manufacturing and commercialisation pathway an ....ARC Training Centre for Cell and Tissue Engineering Technologies. The ARC Training Centre for Cell and Tissue Engineering Technologies aims to provide training to create a highly skilled workforce for the tissue engineering and regenerative medicine sector and to enhance research performance and innovation in Australia through fundamental and applied research carried out in industry-led PhD projects. The research aims to address major aspects of the manufacturing and commercialisation pathway and barriers faced by the sector, namely improving process efficiencies, enabling early-stage scale-up (cell/tissue) and development of the sector's supply chain. The knowledge created and research undertaken would help to accelerate commercialisation in regenerative medicine, tissue engineering and cell therapies.Read moreRead less
Cloud scheduling and management of energy systems with real-time support. This project aims to research cloud scheduling and management of modern energy systems with real-time communication support. The approach consists of optimisation with balanced benefits for customers, aggregators and network service providers for modern energy systems; real-time communication support for unified energy scheduling and management over many microgrids; and cloud energy scheduling and management with deadline ....Cloud scheduling and management of energy systems with real-time support. This project aims to research cloud scheduling and management of modern energy systems with real-time communication support. The approach consists of optimisation with balanced benefits for customers, aggregators and network service providers for modern energy systems; real-time communication support for unified energy scheduling and management over many microgrids; and cloud energy scheduling and management with deadline guarantee. This project is expected to facilitate increasing deployment of disruptive energy technologies on a massive scale, create opportunities for energy industries, and maintain Australia’s leading position in renewable energy.Read moreRead less
Frictional and viscous effects during transport in nanopores. Gas mixtures exposed to materials containing molecular sized pores (nanopores) are adsorbed, forming states of matter not existing in the bulk. Differential forces acting on the components of mixtures promote industrially and environmentally important separations. However, transport of confined fluids has been poorly understood. Recently we have made progress using computer simulation, and have proposed a highly successful theory. ....Frictional and viscous effects during transport in nanopores. Gas mixtures exposed to materials containing molecular sized pores (nanopores) are adsorbed, forming states of matter not existing in the bulk. Differential forces acting on the components of mixtures promote industrially and environmentally important separations. However, transport of confined fluids has been poorly understood. Recently we have made progress using computer simulation, and have proposed a highly successful theory. These investigations have revealed the crucial role of scattering from the surface atoms of the confining solid. Theoretical investigation of single spherical species has been initiated, and extension to other species and to mixtures is now envisaged.Read moreRead less
Multicomponent Transport in Nanopores. Good understanding of transport mechanisms in nanopores is crucial to the successful application of numerous recently developed novel templated microporous and mesoporous materials. This project seeks to extend a new theory developed by the applicants for single component transport in cylindrical mesopores, to cylindrical micropores as well as to multicomponent adsorbates, in conjunction with experiments using microporous and mesoporous materials such as M ....Multicomponent Transport in Nanopores. Good understanding of transport mechanisms in nanopores is crucial to the successful application of numerous recently developed novel templated microporous and mesoporous materials. This project seeks to extend a new theory developed by the applicants for single component transport in cylindrical mesopores, to cylindrical micropores as well as to multicomponent adsorbates, in conjunction with experiments using microporous and mesoporous materials such as MCM-41, VPI-5 and AlPO4-5. The outcome will be a powerful new theory for a priori prediction of transport coefficients for multicomponent fluids in nanopores based on molecular level information alone, thereby overcoming the empiricism in existing models.Read moreRead less
A real-time traffic signal system for safe and efficient intersections . Road traffic crashes result in 1,200 fatalities and another 36,500 injuries on Australian roads each year. Signalised intersections represent a high-risk node in a transportation network, but the current signal designs only consider efficiency but not safety. This project aims to unleash the power of artificial intelligence (AI) and integrate with the advanced extreme value models for proactive and efficient detection of cr ....A real-time traffic signal system for safe and efficient intersections . Road traffic crashes result in 1,200 fatalities and another 36,500 injuries on Australian roads each year. Signalised intersections represent a high-risk node in a transportation network, but the current signal designs only consider efficiency but not safety. This project aims to unleash the power of artificial intelligence (AI) and integrate with the advanced extreme value models for proactive and efficient detection of crash risk in real-time. Its innovations lie on developing a novel traffic signal control system balancing safety and efficiency of signalised intersections. The proposed real-time traffic signal system will fundamentally transform the intersection operation and lead to reductions of road fatalities, injuries and emissions.Read moreRead less
Predicting the value and use of urban land. This project aims to develop a comprehensive, robust and user-friendly set of modelling tools to predict land values more accurately. Accurate predictions of land values reduce state government revenue risks and improve resource management. The expected outcome of this project is the development of modelling tools which, can be used to study land use allocation, infrastructure delivery and government taxation revenue. This should provide significant be ....Predicting the value and use of urban land. This project aims to develop a comprehensive, robust and user-friendly set of modelling tools to predict land values more accurately. Accurate predictions of land values reduce state government revenue risks and improve resource management. The expected outcome of this project is the development of modelling tools which, can be used to study land use allocation, infrastructure delivery and government taxation revenue. This should provide significant benefits such as the development of new econometric theory, advanced computational methods and evidence-based guidelines for policymakers.Read moreRead less