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
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
Risk and Reliability in Stochastic Optimisation and Equilibrium. This project seeks to develop theory and methodology in optimisation which take advantage of recent progress in understanding and treating risk in decision making. Problems of optimisation in the face of uncertainty must confront the risk inherent in having to make reliable decisions before knowing the outcomes of crucial random variables on which costs and constraints may depend. Recent theoretical developments, featuring ‘measure ....Risk and Reliability in Stochastic Optimisation and Equilibrium. This project seeks to develop theory and methodology in optimisation which take advantage of recent progress in understanding and treating risk in decision making. Problems of optimisation in the face of uncertainty must confront the risk inherent in having to make reliable decisions before knowing the outcomes of crucial random variables on which costs and constraints may depend. Recent theoretical developments, featuring ‘measures of risk’ beyond just-expected values and quantiles offer hope of major new advances. This project aims to achieve such advances not only in optimisation but also in models of equilibrium that likewise have to deal with uncertainty. Extending current theory and methodology to such multi-stage stochastic models is a challenge. Besides taking up this challenge for its own sake, a major goal of this research will be to use the results in solution algorithms.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
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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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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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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Decomposition and Duality: New Approaches to Integer and Stochastic Integer Programming. Because of their rich modelling capabilities, integer programs are widely used in industry for decision making and planning. However their solution algorithms do not have the maturity of their cousins in convex optimisation, where the theory of strong duality is ubiquitous. Efficient methods for convex optimisation under uncertainty do not apply to the integer case, which is highly non-convex. Furthermore, i ....Decomposition and Duality: New Approaches to Integer and Stochastic Integer Programming. Because of their rich modelling capabilities, integer programs are widely used in industry for decision making and planning. However their solution algorithms do not have the maturity of their cousins in convex optimisation, where the theory of strong duality is ubiquitous. Efficient methods for convex optimisation under uncertainty do not apply to the integer case, which is highly non-convex. Furthermore, integer models usually assume the data is known with certainty, which is often not the case in the real world. This project will develop new theory and algorithms to enhance the analysis of integer models, including those that incorporating uncertainty, while also enabling the use of parallel computing paradigms. Read moreRead less
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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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