Safety and Reliability Society Journal
Safety & Reliability is published 4 times a year (Spring, Summer, Autumn, Winter) and contains articles of interest to the society’s members.
The Publication Schedule for early 2012 is as follows:
| Volume Number | Copy Deadline | Target Distribution | Theme |
| 32.1 | 2nd January 2012 | 20th February 2012 | Open |
| 32.2 | 2nd April 2012 | 21st May 2012 | Open |
| 32.3 | 2nd July 2012 | 20th August 2012 | Open |
| 32.4 | 1st October 2012 | 19th November 2012 | Open |
| 33.1 | 31st December 2012 | 18th February 2013 | Open |
| 33.2 | 1st April 2013 | 20th May 2013 | Open |
| 33.3 | 1st July 2013 | 19th August 2013 | Open |
| 33.4 | 30 th September 2013 | 18th November 2013 | Open |
Please telephone (0161 918 6663) or email the office to book space or for more information.
Articles for publication should be sent to the society and conform to the submission guidelines.
Editorial Board
Richard Denning (Editor), MOD, Bristol
David Clarke, Rolls Royce, Derby
David J Smith, Technis, Tonbridge
Harry Hopkins, H H Risk Ltd, Solihull
Nigel Locke, Consultant, Bath
Brian Martin, BNFL, Warrington
Erto Pasquale, University of Naples, Italy
Jin Wang, John Moores University, Liverpool
Barry Whittingham, Key Risk Management Ltd, Grantham
Popular Journal Papers
Following a poll of Council Members as to which Journal papers were most useful to them, the list below was compiled. Look out on the website at www.sars.org.uk for these papers in the near future as we intend to publish them online as an example of the contents of our Journals. If you have any personal favourites, please let us know and we will try to include them.
Volume 21, No 1: Principles Of Modelling
Volume 21, No 1 Improvements In The Relative Accuracy Of Reliability Assessment Based On The Use Of Field Data
Volume 22, No 1: How to Argue and Succeed – Progressive Assurance of R&M and the R&MCase
Volume 23, No 4 Risk Based Decision Making
Volume 24, No 1 Innovative use of Existing R&M Tools
Volume 25, No 2 The Inclusion of Violation in Risk Models
Volume 26 No 1 Bayesian Modelling to Enable Decision Making in Ship Escape
Volume 26, No 2 Pitfalls in the application of human reliability data
Volume 26 No 3 The Future for Safety & Environmental Management


