| EPSRC Reference: |
GR/J76736/01 |
| Title: |
CONST. & ANALYSIS OF PROBABILISTIC OR MODELS TO DEVELOP OPTIMAL STRATEGIES FOR PREVENTIVE MAINTENANCE |
| Principal Investigator: |
Kobbacy, Professor K |
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| Department: |
Mathematics and Computer Science |
| Organisation: |
University of Salford |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
16 May 1994 |
Ends: |
15 August 1997 |
Value (£): |
98,808
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| EPSRC Research Topic Classifications: |
| Mathematical Aspects of OR |
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Summary on Grant Application Form |
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Preventative Maintenance (PM), is one of the effective policies used in industry to keep equipment in a satisfactory condition. It is even considered a more vital tool in cases of modern, large and complex technical systems, where other maintenance policies may prove insufficient, on their own, in dealing with the scale, variability and changeability of such systems. However comparatively little effort has been done in researching and developing its practical modelling considerations, in order to optimise its implementation.This application proposes combining the efforts of two researchers in OR and Statistics to develop models that can be of practical value with regard to the application of PM.The R.A. first main research problem would involve deriving probability distributions for basic model parameters, including down-time and cost, under various modelling assumptions. It is by further considering distributions such as Gamma and Weibull that truly generalised and practically implementable models can be established. It is the major objective of this work to develop, validate and evaluate the usefulness of such generalised models. The feasibility and usefulness of the application of the Bayesian methodology to the entire problem will be one of the major goals of this research proposal.The project while having apparent academic nature, will no doubt have significant practical value, where plant maintenance is becoming increasingly important to improving productivity through effective facility management.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.salford.ac.uk |