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Robert Miles

Technical Director: Risk managment/bowtie analysis/incident investigation/confidential reporting.  Energy Institute: Human Factors Committee Chair. Frimley Health Foundation Trust public governor.  STEM Ambassador

Hu-Tech Risk Management Services ltd

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Biography

Rob Chairs the Energy Institute Human and Organisational Factors committee developing and promoting guidance for the energy sector on the application of human factors to improve risk management, business performance and health and safety.  He is currently contributing to the US Centre for Chemical Process Safety (CCPS) publication on the use of “bowtie” methodology in process safety and is the only UK contributor to the revised American Petroleum Institute (API) Recommended Practice for health and safety management systems (API RP75).
After over a decade as the human factors independent advisor to the rail sector confidential reporting scheme, CIRAS and is now an Elected Public Governor for a large NHS Trust.  He is a STEM Ambassador and gives talks to local schools encouraging pupils into the infrastructure and energy sectors and is an external lecturer on the Petroleum Engineering MSc at Cranfield University
After originally qualifying as an aircraft engineer and going on to engineering in the offshore sector he retrained in both experimental and occupational psychology.  Rob then spent over 20 years heading up the HSE team inspection, investigating and assessing human factors across in the UK offshore sector.  During this time he developed a multinational audit framework.
He has recently written guidance on managing major shutdowns and turnarounds and is currently working on guidance on the management of contractor competence.
He is Technical Director for Hu-Tech Risk Management Services and UK Board Member for I-CAB the International Competence Assessment Board and Chartered Member of both the Institution of Mechanical Engineers (I.Mech.E) and Chartered Institute of Ergonomics and Human Factors (CIEHF).
He is currently working on a risk reduction framework for Never Events


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