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A semiquantitative risk assessment methodology to prioritize recommendations
Author(s) -
Bhimavarapu Kumar R.,
Doerr William W.
Publication year - 2009
Publication title -
process safety progress
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.378
H-Index - 40
eISSN - 1547-5913
pISSN - 1066-8527
DOI - 10.1002/prs.10295
Subject(s) - risk analysis (engineering) , prioritization , process (computing) , premise , computer science , process safety , reliability engineering , management science , engineering , work in process , operations management , business , linguistics , philosophy , operating system
Process safety engineers promote loss prevention by providing recommendations when deficiencies are observed. Deficiencies are undesirable conditions that aggravate the likelihood and/or the severity of loss events. Any improvement needs resources, and since the resources are always limited, process safety engineers have to establish priorities for loss prevention recommendations. One appropriate way to prioritize the recommendations is to evaluate and compare the cost of risk reduction associated with the improvements. While qualitative risk analysis techniques may not be able to provide the necessary resolution to differentiate the improvements, quantitative techniques need much expertise, time, and funds. A feasible approach would be a semiquantitative methodology with the simplifications necessary to make it easy to use, but at the same time providing the needed resolution for prioritization. This article presents such a methodology to prioritize loss prevention recommendations. The methodology uses the concept of engineered systems, which are simply hardware (equipment or facility), procedures, or a combination put in place to serve specific functional intents. The basis of the methodology is founded in the premise that deficiencies are always associated with engineered systems and deficiencies increase their failure likelihoods. A few examples are provided with the details of the methodology and the incorporated simplifications. © 2009 American Institute of Chemical Engineers Process Saf Prog, 2009