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Details of Grant 

EPSRC Reference: GR/R60003/01
Title: Quantitative Assessment of Risk and Reliability
Principal Investigator: Bedford, Professor T
Other Investigators:
Quigley, Professor J Walls, Professor L
Researcher Co-Investigators:
Project Partners:
Department: Management Science
Organisation: University of Strathclyde
Scheme: MTP
Starts: 01 February 2002 Ends: 30 June 2003 Value (£): 99,069
EPSRC Research Topic Classifications:
Mathematical Aspects of OR
EPSRC Industrial Sector Classifications:
Aerospace, Defence and Marine Chemicals
Construction Financial Services
Energy Transport Systems and Vehicles
No relevance to Underpinning Sectors
Related Grants:
Panel History:  
Summary on Grant Application Form
The TP will train engineers in statistical and quantitative techniques of reliability and risk management. These techniques are applied in many different industrial sectors in order to quantify failure probabilities and failure consequences of systems. The two main application areas are to support ALARP regulatory decision making, and to support timely and reliable product development. Both areas require that engineers are able to quantify risks, consequences and costs arising from industrial activities. ALARP decision making takes places particularly in the energy, transportation, and process industries, where the emphasis is on risks for employees and third parties. This requires estimation of the availability of safety equipment, but also consequence analysis to trace the possible consequences of an accident. In product development the reliability engineer will be able to build and quantify system reliability to provide support to the designers of next generation equipment. In order to provide realistic models, the students are given an understanding of statistics, in particular an understanding of uncertainty modelling, and of statistical quantification: In order to provide input into management decision making they must understand the principles of cost-benefit analysis and other decision support tools which support risk-based decision making.
Key Findings
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Potential use in non-academic contexts
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Impacts
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Summary
Date Materialised
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Further Information:  
Organisation Website: http://www.strath.ac.uk