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Evaluating inherently safer design with multiattribute utility theory
Author(s) -
Dee Sean J.,
Cox Brenton,
Ogle Russell,
Walters Matthew
Publication year - 2019
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.12022
Subject(s) - safer , process (computing) , risk analysis (engineering) , strengths and weaknesses , management science , computer science , process management , operations research , engineering , systems engineering , computer security , business , philosophy , epistemology , operating system
Incorporating inherently safer design (ISD) into a process safety program can benefit a site's overall process safety program. However, ISD solutions are rarely capable of being implemented without consideration of various tradeoffs associated with other critical operating factors at a plant. Critics have often accused companies of failing to implement ISD solely on the basis of cost, often neglecting other factors that must be accounted for in the decision. Multiattribute decisions are difficult to resolve, but there are tools available to assist the decision maker. One such tool that can be applied to provide insight into the implementation of ISD solutions is multiattribute utility theory (MAUT). MAUT is a structured approach that evaluates the strengths and weaknesses of competing solutions for a problem with multiple objectives. In this article, the concept of MAUT will be explained. Then MAUT analysis will be applied to three case studies where investigators have recommended incorporating ISD or technology into a process. Using MAUT analysis, the benefit of the proposed design change will be evaluated in a systematic, semiquantitative methodology that will demonstrate how the tools can help facility personnel understand and characterize the benefits of ISD. © 2018 American Institute of Chemical Engineers Process Process Saf Prog 38:e12022, 2019