Advancing the theoretical bases of supply chain management through the lens of relational exchange theory. This project will explain and predict the behaviour of supply chain members better than current theories do. An integrated theory of supply chain management will be developed and tested empirically. This theory will enable better understanding of how supply chains function and guide actions of managers so that the expected benefits are realised.
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.
Fluidised bed nanoparticle reactors for gas-solid catalytic reactions. This is a "frontier technologies" (nanotechnology) project and promises to open up new opportunities for exciting development in molecular engineering. Catalytic gas-solid reactions are among the most important reactions in chemical industry and energy industry. The novel fluidised bed nanoparticle catalytic reactor is expected to have many important advantages over the conventional porous supported catalyst system. These rea ....Fluidised bed nanoparticle reactors for gas-solid catalytic reactions. This is a "frontier technologies" (nanotechnology) project and promises to open up new opportunities for exciting development in molecular engineering. Catalytic gas-solid reactions are among the most important reactions in chemical industry and energy industry. The novel fluidised bed nanoparticle catalytic reactor is expected to have many important advantages over the conventional porous supported catalyst system. These reactors promise to minimise the waste product generation from chemical and energy industries and so offer great benefit for the environment. Young researchers involved in the project will be equipped with knowledge at the forefront of nanotechnology, enabling them to contribute to Australia's new, high technology future.Read moreRead less
A modelling framework for designing more sustainable urban freight systems. How to improve the sustainability of goods movement in cities is a major challenge for society. City logistics involves numerous stakeholders, including carriers that are small and independent and have difficulty achieving high levels of efficiency. This project aims to develop an integrated modelling framework to facilitate the exploration of novel urban logistics initiatives that are more connected, collaborative, and ....A modelling framework for designing more sustainable urban freight systems. How to improve the sustainability of goods movement in cities is a major challenge for society. City logistics involves numerous stakeholders, including carriers that are small and independent and have difficulty achieving high levels of efficiency. This project aims to develop an integrated modelling framework to facilitate the exploration of novel urban logistics initiatives that are more connected, collaborative, and open. The framework combines agent-based simulation, optimization, artificial intelligence and digital twin technologies to design and evaluate new schemes for improving the efficiency, reliability, and sustainability of urban logistics systems, which will alleviate congestion and the need for new road infrastructure.Read moreRead less
Designing disorder into ionic materials for clean energy applications. . This project aims to develop new materials designed to possess optimum properties for targeted clean energy technologies. By the design of specific ion chemistries, we aim to produce materials that absorb large amounts of thermal energy, as needed in energy storage and refrigeration applications. Their large internal free volume will offer unique properties for energy-consuming gas separation applications. Expected outcomes ....Designing disorder into ionic materials for clean energy applications. . This project aims to develop new materials designed to possess optimum properties for targeted clean energy technologies. By the design of specific ion chemistries, we aim to produce materials that absorb large amounts of thermal energy, as needed in energy storage and refrigeration applications. Their large internal free volume will offer unique properties for energy-consuming gas separation applications. Expected outcomes from the project include (i) fundamental understanding of ion design, (ii) a suite of new materials with advantageous properties for energy application. The expected benefits include advancement of technologies that support renewable energy storage and a reduction in energy costs and harmful emissions from refrigeration.Read moreRead less
Advanced inverter control for distributed energy systems. This project aims to discover innovative fundamental approaches for the control of electrical grids with a diverse and changing mix of generation sources. It will generate new knowledge in the area of electrical power system control by researching innovative and advanced inverter control techniques coupled to advanced power system models. The expected outcomes are advanced power system control techniques that remove the emerging barriers ....Advanced inverter control for distributed energy systems. This project aims to discover innovative fundamental approaches for the control of electrical grids with a diverse and changing mix of generation sources. It will generate new knowledge in the area of electrical power system control by researching innovative and advanced inverter control techniques coupled to advanced power system models. The expected outcomes are advanced power system control techniques that remove the emerging barriers to increased penetrations of distributed generation and energy storage. The benefit of the research includes an Australian-developed solution to many of the difficulties faced by grid operators around the world in incorporating increased renewable generation and energy storage in their power systems.Read moreRead less
Regulating guest transport in microporous materials by electric field. This project aims to address the fundamentals and applications of regulating micropore accessibility. It has long been known that some highly adsorbing molecular sieves suddenly become inaccessible to gases below certain temperatures. Following a recent breakthrough in elucidating the mechanism of such temperature-regulated guest admission, this project will explore electrical regulation of micropore accessibility in conjunct ....Regulating guest transport in microporous materials by electric field. This project aims to address the fundamentals and applications of regulating micropore accessibility. It has long been known that some highly adsorbing molecular sieves suddenly become inaccessible to gases below certain temperatures. Following a recent breakthrough in elucidating the mechanism of such temperature-regulated guest admission, this project will explore electrical regulation of micropore accessibility in conjunction with developing new mechanisms, materials, and control tools for applications, including tunable molecular sieves, valves and gas encapsulation devices. The outcomes of this project will generate new knowledge in the active manipulation of the admission and release of guest molecules in/out of microporous materials, and establish new expertise and capabilities that can advance gas separation, storage and sensing technologies. It is expected that this project will contribute to the long term benefit in low emission energy supplies and Australia's natural gas industry, improve the separation efficiency of our chemical industry, and boost the development of the hydrogen economy.Read moreRead less
Robust AI Planning for Hybrid Systems. Automated planning, a core area of Artificial Intelligence, can effectively deal with the automatic synthesis of optimised action strategies for discrete system models. Extending the reach of planning to hybrid discrete/continuous systems, under exogenous uncertainty, is a widely open problem which this project will address. This will enable the proactive, and therefore more effective, management of microgrids and other cyber-physical systems, based on fore ....Robust AI Planning for Hybrid Systems. Automated planning, a core area of Artificial Intelligence, can effectively deal with the automatic synthesis of optimised action strategies for discrete system models. Extending the reach of planning to hybrid discrete/continuous systems, under exogenous uncertainty, is a widely open problem which this project will address. This will enable the proactive, and therefore more effective, management of microgrids and other cyber-physical systems, based on forecast information.Read moreRead less