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Australian State/Territory : WA
Field of Research : Operations Research
Research Topic : Applied Computing
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  • Researchers (7)
  • Funded Activities (7)
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  • Funded Activity

    Discovery Projects - Grant ID: DP0453258

    Funder
    Australian Research Council
    Funding Amount
    $243,700.00
    Summary
    Forensic management approach to rework mitigation and prevention in construction. Rework is the unnecessary effort of re-doing a process or activity. The direct costs of rework in construction have been reported to be as high as 25% of project costs. These rework costs would be higher if they included the intangible, but real costs of disruption caused by schedule delays, litigation, and dysfunctional contract relationships. To reduce rework in construction projects a forensic project managem .... Forensic management approach to rework mitigation and prevention in construction. Rework is the unnecessary effort of re-doing a process or activity. The direct costs of rework in construction have been reported to be as high as 25% of project costs. These rework costs would be higher if they included the intangible, but real costs of disruption caused by schedule delays, litigation, and dysfunctional contract relationships. To reduce rework in construction projects a forensic project management model that can be used to stimulate learning and process improvement will be developed, evaluated and validated. This will enable the design of strategies to reduce rework and improve the overall performance of projects.
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    Funded Activity

    Discovery Projects - Grant ID: DP160102819

    Funder
    Australian Research Council
    Funding Amount
    $396,765.00
    Summary
    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.
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    Funded Activity

    Discovery Projects - Grant ID: DP0452984

    Funder
    Australian Research Council
    Funding Amount
    $210,000.00
    Summary
    Designing an Intelligent Process Operation Management System. The complexity and sophistication of current generation of industrial processes, and the growing need for autonomous agents that control physical systems, motivate the need for the development of an intelligent process operation management system. In this project, the innovative integration of theories from different scientific fields (computer systems, process engineering, systems and control engineering) provides an excellent platfo .... Designing an Intelligent Process Operation Management System. The complexity and sophistication of current generation of industrial processes, and the growing need for autonomous agents that control physical systems, motivate the need for the development of an intelligent process operation management system. In this project, the innovative integration of theories from different scientific fields (computer systems, process engineering, systems and control engineering) provides an excellent platform for development of a smart data management tool, to oversee the major operational tasks within the plant and help the operators and engineers to make more informed decisions. Direct application of the techniques developed in this study to a pilot case study, could be used as a benchmark to show the potential benefits that can be gained through smart information use and data management.
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    Funded Activity

    Linkage Projects - Grant ID: LP0347959

    Funder
    Australian Research Council
    Funding Amount
    $69,099.00
    Summary
    A framework for prioritising investment in natural resource management. If public funds applied to natural resource management are to achieve the highest level benefit, then the potential projects have to be prioritized. This is difficult when the expected benefits are both incommensurate (e.g. protection of roads v. areas of biodiversity) and uncertain. This project will evaluate alternative decision support methods for making such choices, with a particular focus on salinity management in We .... A framework for prioritising investment in natural resource management. If public funds applied to natural resource management are to achieve the highest level benefit, then the potential projects have to be prioritized. This is difficult when the expected benefits are both incommensurate (e.g. protection of roads v. areas of biodiversity) and uncertain. This project will evaluate alternative decision support methods for making such choices, with a particular focus on salinity management in Western Australia, although it is anticipated that the lessons learned could be applied to other NRM policies. The outcome will be a contribution to aid participatory decision making.
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    Funded Activity

    Linkage Projects - Grant ID: LP0561143

    Funder
    Australian Research Council
    Funding Amount
    $48,296.00
    Summary
    Implementation of a strategic framework for investment for Natural Resource Management: evaluation and development. If public funds applied to natural resource management are to achieve the highest level benefit, then the potential projects have to be prioritized. This is difficult when the expected benefits are both incommensurate (e.g. protection of roads v. areas of biodiversity) and uncertain. This project will evaluate alternative decision support methods for making such choices, with a par .... Implementation of a strategic framework for investment for Natural Resource Management: evaluation and development. If public funds applied to natural resource management are to achieve the highest level benefit, then the potential projects have to be prioritized. This is difficult when the expected benefits are both incommensurate (e.g. protection of roads v. areas of biodiversity) and uncertain. This project will evaluate alternative decision support methods for making such choices, with a particular focus on salinity management in Western Australia, although it is anticipated that the lessons learned could be applied to other NRM policies. The outcome will be a contribution to aid participatory decision making.
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    Funded Activity

    Linkage Projects - Grant ID: LP0349075

    Funder
    Australian Research Council
    Funding Amount
    $115,000.00
    Summary
    The Future of Australian Mineral Exports. Australia is among the world's largest exporters of steelmaking raw materials, specifically iron ore, coking coal and manganese. This project will develop an integrated econometric model of the global steel industry to forecast future trends in global steel production and the associated demand for raw materials. The results of this research will not only assist Australian mineral exporters in achieving better outcomes in annual pricing negotiations by im .... The Future of Australian Mineral Exports. Australia is among the world's largest exporters of steelmaking raw materials, specifically iron ore, coking coal and manganese. This project will develop an integrated econometric model of the global steel industry to forecast future trends in global steel production and the associated demand for raw materials. The results of this research will not only assist Australian mineral exporters in achieving better outcomes in annual pricing negotiations by improving market knowledge, but also help focus their longer term marketing strategies. The extensive global mine database to be assembled as part of the network flow component of this model will also allow Australian mineral exporters to assess their competitive position relative to foreign producers.
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    Active Funded Activity

    Industrial Transformation Training Centres - Grant ID: IC200100009

    Funder
    Australian Research Council
    Funding Amount
    $4,861,236.00
    Summary
    ARC Training Centre in Optimisation Technologies, Integrated Methodologies, and Applications (OPTIMA). OPTIMA addresses industry’s urgent need for decision-making tools for global competitiveness: reducing lead times, and financial and environmental costs, while improving efficiency, quality, and agility. Despite strong expertise in academia, industry is yet to fully benefit from optimisation technology due to its high barrier to entry. Connecting industry partners with world-leading interdiscip .... ARC Training Centre in Optimisation Technologies, Integrated Methodologies, and Applications (OPTIMA). OPTIMA addresses industry’s urgent need for decision-making tools for global competitiveness: reducing lead times, and financial and environmental costs, while improving efficiency, quality, and agility. Despite strong expertise in academia, industry is yet to fully benefit from optimisation technology due to its high barrier to entry. Connecting industry partners with world-leading interdisciplinary researchers and talented students, OPTIMA will advance an industry-ready optimisation toolkit, while training a new generation of industry practitioners and over 120 young researchers, vanguarding a highly skilled workforce of change agents for transformation of the advanced manufacturing, energy resources, and critical infrastructure sectors.
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    Showing 1-7 of 7 Funded Activites

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