Integrating land use, market equilibrium, and transport for city planning. This project is significant because it offers a comprehensive travel demand modelling platform that provides realistic, robust, and self-consistent metrics for transport infrastructure planning addressing contemporary changes in the transport system. The expected outcomes of the platform are incorporating recent advances in activity-based methods for travel demand modelling, developing a dynamic and integrated system for ....Integrating land use, market equilibrium, and transport for city planning. This project is significant because it offers a comprehensive travel demand modelling platform that provides realistic, robust, and self-consistent metrics for transport infrastructure planning addressing contemporary changes in the transport system. The expected outcomes of the platform are incorporating recent advances in activity-based methods for travel demand modelling, developing a dynamic and integrated system for modelling short- and long-term household decisions, and creating a systematic calibration mechanism to handle the large-scale model. The benefits of this platform to the Australian transport industry and authorities will be demonstrated in use cases to design and optimise pricing for a multiplayer transport network.Read moreRead less
Technological innovation and change in supply chain integration. In examining emerging technology that can transform the performance of Australian industry we address the following priority goals: better understanding the processes that will advance knowledge and facilitate the development of technological innovations; the potential application of Radio Frequency Identification (RFID) technologies across an entire supply chain; and the improved management of information in the storage, distribut ....Technological innovation and change in supply chain integration. In examining emerging technology that can transform the performance of Australian industry we address the following priority goals: better understanding the processes that will advance knowledge and facilitate the development of technological innovations; the potential application of Radio Frequency Identification (RFID) technologies across an entire supply chain; and the improved management of information in the storage, distribution, and delivery of products (smart information use). Improvement in the operational efficiency and performance of the supply chain will increase national wealth while minimising environmental impacts on the environment, for example, through the better utilisation of heavy freight carriers.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.
A complete Stochastic Trans-shipment Decision Model (STDM) to assist logistics practitioners to make cost optimised decisions. This project aims to implement a decision-makng model based on a new mathematical theory in dealing with supply and demand problems for businesses. The purpose is to minimise the expected logistics costs for goods trans-shipment operations along the supply chain, thereby maximising profits and enhancing the competitiveness of Australian companies.
Large Markov decision processes and combinatorial optimisation. Markov decision processes continue to gain in popularity for modelling a wide range of applications ranging from analysis of supply chains and queueing networks to cognitive science and control of autonomous vehicles. Nonetheless, they tend to become numerically intractable as the size of the model grows fast. Recent works use machine learning techniques to overcome this crucial issue, but with no convergence guarantee. This project ....Large Markov decision processes and combinatorial optimisation. Markov decision processes continue to gain in popularity for modelling a wide range of applications ranging from analysis of supply chains and queueing networks to cognitive science and control of autonomous vehicles. Nonetheless, they tend to become numerically intractable as the size of the model grows fast. Recent works use machine learning techniques to overcome this crucial issue, but with no convergence guarantee. This project aims to provide theoretically sound frameworks for solving large Markov decision processes, and exploit them to solve important combinatorial optimisation problems. This timely project can promote Australia's position in the development of such novel frameworks for many scientific and industrial applications.Read moreRead less
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
Planning and operational models for food rescue and delivery to the poor. This project aims to develop an innovative holistic mathematical model of the vehicle routing problem for a charity-based food rescue and distribution system. Such a model would aim to maximise societal benefits while constraining costs, and would need to take into account the demand profile for donors and receivers, and the equitable distribution of food. The model developed is designed to mathematically represent the sys ....Planning and operational models for food rescue and delivery to the poor. This project aims to develop an innovative holistic mathematical model of the vehicle routing problem for a charity-based food rescue and distribution system. Such a model would aim to maximise societal benefits while constraining costs, and would need to take into account the demand profile for donors and receivers, and the equitable distribution of food. The model developed is designed to mathematically represent the system in a consistent framework so as to develop optimisation models and techniques. The project also seeks to understand the factors that influence the demand to donate to food rescue by organisations and individuals and the demand to request food by welfare agencies.Read moreRead less
An intelligent machine modelling assistant for combinatorial optimisation. This project aims to discover key fundamental technologies for automating assistance to non-expert users in the formulation of mathematical models. Through automating the modelling of combinatorial optimization problems, this research will generate new knowledge to address the fundamental challenges of automatic mathematical modelling. This intelligent assistant will enable synthesis of new mathematical models through th ....An intelligent machine modelling assistant for combinatorial optimisation. This project aims to discover key fundamental technologies for automating assistance to non-expert users in the formulation of mathematical models. Through automating the modelling of combinatorial optimization problems, this research will generate new knowledge to address the fundamental challenges of automatic mathematical modelling. This intelligent assistant will enable synthesis of new mathematical models through the utilisation of pioneering natural language processing components and novel custom-made machine-readable knowledge bases. The outcome of this research will broaden access to high-quality models by non-expert workforce and alleviate the shortage of expert mathematicians, bringing significant social and economic benefits.Read moreRead less
Safe and efficient eco-driving using connected and automated vehicles. This project aims to solve the paradox of trading off liveability for mobility by simultaneously reducing traffic congestion, vehicle energy consumption, and emission. This project is expected to generate fundamental knowledge and powerful tools on utilising connected and automated vehicles to help individuals become green drivers. Expected outcomes include ground-breaking models capable of holistically optimising traffic ef ....Safe and efficient eco-driving using connected and automated vehicles. This project aims to solve the paradox of trading off liveability for mobility by simultaneously reducing traffic congestion, vehicle energy consumption, and emission. This project is expected to generate fundamental knowledge and powerful tools on utilising connected and automated vehicles to help individuals become green drivers. Expected outcomes include ground-breaking models capable of holistically optimising traffic efficiency, energy consumption and emission, and innovative control strategies and policies that focus on energy efficiency and environment protection. This research will bring a wide range of substantial national benefits related to mobility, public health, environmental protection, and energy security.Read moreRead less
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