An integrated mathematical approach to synchronise and optimise hospital operations. This project aims to develop an integrated mathematical approach to synchronise and optimise patient scheduling systems of different departments to ensure that the hospital’s assets and related resources are used efficiently. The project’s aim is to investigate patient flow, process delay, and the interaction and inter-dependence of departments within the hospital to reduce access block (bottleneck) and subseque ....An integrated mathematical approach to synchronise and optimise hospital operations. This project aims to develop an integrated mathematical approach to synchronise and optimise patient scheduling systems of different departments to ensure that the hospital’s assets and related resources are used efficiently. The project’s aim is to investigate patient flow, process delay, and the interaction and inter-dependence of departments within the hospital to reduce access block (bottleneck) and subsequent overcrowding. This project aims to smooth the running of the hospital, improve the efficiency of patient throughput, reduce waiting times, and revolutionise hospital planning and scheduling.Read moreRead less
Optimisation of Rail Network Infrastructure Capacity under Dynamic Train Planning. Recent changes in railway operating environments have caused significant operational and management problems in Australia. This research will lead to improvements of railway's key managerial functions, namely: network capacity planning; rollingstock planning; train scheduling; and maintenance planning. The major outcome of the research will be to develop an optimisation model to significantly improve the operati ....Optimisation of Rail Network Infrastructure Capacity under Dynamic Train Planning. Recent changes in railway operating environments have caused significant operational and management problems in Australia. This research will lead to improvements of railway's key managerial functions, namely: network capacity planning; rollingstock planning; train scheduling; and maintenance planning. The major outcome of the research will be to develop an optimisation model to significantly improve the operating efficiency and assets productivity of Australia's rail system. The novelty of the research is that it will be undertaken using innovations based on modern job shop scheduling and sequencing optimisation techniques as the complexity of the problem makes it impossible to solve by classic optimisation techniques.Read moreRead less
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
Hybrid Job Shop Techniques for Dynamic Train Scheduling. The job shop approach to dynamic train scheduling promises considerable benefits over existing approaches, and allows problems of large size and complexity to be solved with great accuracy. The application of research results in Australia has the potential to:
- reduce train delays and costs by better planning of train schedules of railway systems;
- reduce transport costs to rail customers and increase rail's market share of freight ....Hybrid Job Shop Techniques for Dynamic Train Scheduling. The job shop approach to dynamic train scheduling promises considerable benefits over existing approaches, and allows problems of large size and complexity to be solved with great accuracy. The application of research results in Australia has the potential to:
- reduce train delays and costs by better planning of train schedules of railway systems;
- reduce transport costs to rail customers and increase rail's market share of freight movements;
- enhance the ability of operators to control operations in an efficient manner and minimise conflicts;
- to increase efficiency of Australian Railway System, leading to lower operating and capital costs;
- optimise the energy consumed.
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Designing Robust Reactive Scheduling System for Emergency Medical Services. The job shop approach to reactive scheduling system for Emergency Departments promises considerable benefits over existing approaches, and allows problems of large size and complexity to be solved with great accuracy. The application of research results in Australia has the potential to:
- provide benchmarks in ED scheduling;
- reduce patients waiting times and rejections by better planning of patient schedules of em ....Designing Robust Reactive Scheduling System for Emergency Medical Services. The job shop approach to reactive scheduling system for Emergency Departments promises considerable benefits over existing approaches, and allows problems of large size and complexity to be solved with great accuracy. The application of research results in Australia has the potential to:
- provide benchmarks in ED scheduling;
- reduce patients waiting times and rejections by better planning of patient schedules of emergency departments;
- leads to less costs for staff and resources;
- enhance the ability of managers to control operations in an efficient manner and minimise conflicts; and
- to increase efficiency of emergency departments, leading to lower operating and capital cost.
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Mathematical Decision Support to Optimise Hospital Capacity and Utilisation. Hospital planners and executives regularly contend with challenging capacity related decisions. Decisions relating to prioritisation, allocation and sharing of resources have a profound impact on productivity, efficiency and patient outcomes. There is a lack of data-driven or quantitative decision support to make well-informed capacity related decisions of a strategic or tactical nature in a single hospital, or across a ....Mathematical Decision Support to Optimise Hospital Capacity and Utilisation. Hospital planners and executives regularly contend with challenging capacity related decisions. Decisions relating to prioritisation, allocation and sharing of resources have a profound impact on productivity, efficiency and patient outcomes. There is a lack of data-driven or quantitative decision support to make well-informed capacity related decisions of a strategic or tactical nature in a single hospital, or across a regional healthcare system. This project aims to deliver decision support for holistic hospital capacity assessment and planning optimisation. This will yield significant benefits for the health sector, providing a tool to optimise the allocation of resources and provision of infrastructure for regional hospital services.Read moreRead less
Statistical and mathematical modelling to improve health care outcomes in hospitals. The aim of this project is to develop new quantitative techniques based on mathematical and statistical modelling that improve the outcomes of health care in hospitals. Hospital outcomes for patients are sub-optimal due to adverse events such as hospital acquired infections and fully stretched facilities. Research from this project will lead to resource usage being optimised using operations research; the tra ....Statistical and mathematical modelling to improve health care outcomes in hospitals. The aim of this project is to develop new quantitative techniques based on mathematical and statistical modelling that improve the outcomes of health care in hospitals. Hospital outcomes for patients are sub-optimal due to adverse events such as hospital acquired infections and fully stretched facilities. Research from this project will lead to resource usage being optimised using operations research; the transmission of hospital acquired infections being better understood using mathematical models; and better monitoring of adverse events and analyses of studies using statistical tools. Opportunities will be provided for hospital staff to acquire knowledge of the significance of these outcomes .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
Discovery Early Career Researcher Award - Grant ID: DE200101791
Funder
Australian Research Council
Funding Amount
$427,082.00
Summary
Mathematically optimal R&D for coral reef conservation. This project aims to develop mathematical methodologies for optimising Research & Development (R&D) of technologies that will secure complex and uncertain ecosystems into the future. Current conventional management approaches will not prevent the degradation of threatened ecosystems like the Great Barrier Reef, so new technologies are needed. The biggest challenge in choosing these technologies is the long delay between development and depl ....Mathematically optimal R&D for coral reef conservation. This project aims to develop mathematical methodologies for optimising Research & Development (R&D) of technologies that will secure complex and uncertain ecosystems into the future. Current conventional management approaches will not prevent the degradation of threatened ecosystems like the Great Barrier Reef, so new technologies are needed. The biggest challenge in choosing these technologies is the long delay between development and deployment, in which time ecosystem function may collapse and complex, dynamic ecological and social systems will change. The mathematical methods and theory developed will inform a Great Barrier Reef case study, and will be ready for rapid application to other ecosystems as the urgent need arises.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190101416
Funder
Australian Research Council
Funding Amount
$329,538.00
Summary
The value of model complexity for fisheries management. This project aims to quantify the benefits of using dynamic multi-species models for harvest decisions in the fishing industry. More than 99.8 per cent of fisheries are assessed using single-species models. Since fishers harvest multiple interacting species, not considering these interactions can lead to negative outcomes that reduce food security, eliminate human livelihoods, decrease economic production, and harm the environment. The proj ....The value of model complexity for fisheries management. This project aims to quantify the benefits of using dynamic multi-species models for harvest decisions in the fishing industry. More than 99.8 per cent of fisheries are assessed using single-species models. Since fishers harvest multiple interacting species, not considering these interactions can lead to negative outcomes that reduce food security, eliminate human livelihoods, decrease economic production, and harm the environment. The project is expected to provide guidance for fisheries scientists on when to use multi-species models for management, improved decision making capacity to reduce the risk of fishery collapse, a new method for dynamic model validation in the face of limited data, and enhanced collaboration between modellers and applied agencies. By reducing the risk of ecosystem collapse through better use of complex and simple models. The project will provide major benefits for the environment, humans, and the economy, at national and global scales.Read moreRead less