Stable on-demand optimization for workforce and fleet logistics management. This project aims to conceive, develop and deploy innovative methodologies for stable on-demand workforce management and fleet logistics based on advanced decision-support systems. The outcome of this project will provide a new cloud-based real-time Optimisation Software-as-a-Service (OSaaS) platform that allows businesses to improve their productivity while reducing operating costs and their environmental footprint. Thi ....Stable on-demand optimization for workforce and fleet logistics management. This project aims to conceive, develop and deploy innovative methodologies for stable on-demand workforce management and fleet logistics based on advanced decision-support systems. The outcome of this project will provide a new cloud-based real-time Optimisation Software-as-a-Service (OSaaS) platform that allows businesses to improve their productivity while reducing operating costs and their environmental footprint. This is expected to support the manufacturing, retail, delivery and mobile fleets industries.Read moreRead less
Incentivised strategic traffic assignment: bi-level transport optimisation. This project aims to advance the fundamental knowledge base and methodological modelling capacity related to traffic network assignment representing complex incentive structures such as network pricing, behavioural shift inducement, dynamic speed control and information-provision. Expected outcomes include new equilibrium formulations characterising traveller responses to, and interactions with, incentive structures whil ....Incentivised strategic traffic assignment: bi-level transport optimisation. This project aims to advance the fundamental knowledge base and methodological modelling capacity related to traffic network assignment representing complex incentive structures such as network pricing, behavioural shift inducement, dynamic speed control and information-provision. Expected outcomes include new equilibrium formulations characterising traveller responses to, and interactions with, incentive structures while maintaining complex stochastic adaptive behaviours from previous research, new network routing algorithms, and a novel bi-level optimisation approach for seeking optimal incentive policies. The project will provide a scientific basis for the quantified network evaluation of incentivisation strategies that will support enhanced transport planning thereby improving mobility across society.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
Combining mathematical programming and constraint programming to solve large-scale integrated scheduling problems. This project will target major savings in the airline industry, with resulting benefits for others such as tourism. The efficient use of airline fuel, which will be directly addressed in the project, is very important for the environment. The algorithms developed can improve cost and quality of service for Australian transportation, manufacturing and other industries.
The solut ....Combining mathematical programming and constraint programming to solve large-scale integrated scheduling problems. This project will target major savings in the airline industry, with resulting benefits for others such as tourism. The efficient use of airline fuel, which will be directly addressed in the project, is very important for the environment. The algorithms developed can improve cost and quality of service for Australian transportation, manufacturing and other industries.
The solutions developed within the project will be sold by the industrial partner, CTI, into major companies worldwide, and the technology will be used to develop further products.
Finally the project will extend Australia's lead in constraint programming and expertise in optimisation. This creates a major opportunity for the Australian software industry.
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From Tactical Planning to Operational Control - Bridging the Chasm. All organisations plan, and all organisations suffer from the disruptions that occur when plans are put into practice. Few organisations manage to balance operational control with planning to as to maintain both efficiency and flexibility to deal with the unexpected. This project addresses this requirement for the transportation and logistics industries.
The results discovered within the project will enable the industrial ....From Tactical Planning to Operational Control - Bridging the Chasm. All organisations plan, and all organisations suffer from the disruptions that occur when plans are put into practice. Few organisations manage to balance operational control with planning to as to maintain both efficiency and flexibility to deal with the unexpected. This project addresses this requirement for the transportation and logistics industries.
The results discovered within the project will enable the industrial partner, CTI, to develop solutions for major companies worldwide. The technology will be used to build further optimisation products.
Moreover the project will extend Australia's lead in constraint programming and expertise in optimisation. This creates a major opportunity for Australia's software industry.
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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.
Footprints in instance space: visualising the suitability of optimisation algorithms. Optimisation problems underpin the efficiency and effectiveness of many critical sectors (e.g., healthcare, manufacturing, and defence). The project will provide both practitioners and researchers with powerful new tools to develop a much more robust understanding of the strengths and weaknesses of a variety of optimisation algorithms.
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