Literature DB >> 26765309

A Simplified Approach to Risk Assessment Based on System Dynamics: An Industrial Case Study.

Emmanuel Garbolino1, Jean-Pierre Chery2, Franck Guarnieri1.   

Abstract

Seveso plants are complex sociotechnical systems, which makes it appropriate to support any risk assessment with a model of the system. However, more often than not, this step is only partially addressed, simplified, or avoided in safety reports. At the same time, investigations have shown that the complexity of industrial systems is frequently a factor in accidents, due to interactions between their technical, human, and organizational dimensions. In order to handle both this complexity and changes in the system over time, this article proposes an original and simplified qualitative risk evaluation method based on the system dynamics theory developed by Forrester in the early 1960s. The methodology supports the development of a dynamic risk assessment framework dedicated to industrial activities. It consists of 10 complementary steps grouped into two main activities: system dynamics modeling of the sociotechnical system and risk analysis. This system dynamics risk analysis is applied to a case study of a chemical plant and provides a way to assess the technological and organizational components of safety.
© 2016 Society for Risk Analysis.

Entities:  

Keywords:  Modeling; risk assessment; simulation; sociotechnical system; system dynamics

Mesh:

Year:  2016        PMID: 26765309     DOI: 10.1111/risa.12534

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  2 in total

1.  System dynamics applications to injury and violence prevention: a systematic review.

Authors:  Rebecca B Naumann; Anna E Austin; Laura Sheble; Kristen Hassmiller Lich
Journal:  Curr Epidemiol Rep       Date:  2019-04-25

2.  Occurrence mechanism and coping paths of accidents of highly aggregated tourist crowds based on system dynamics.

Authors:  Jie Yin; Xiang-Min Zheng; Ruey-Chyn Tsaur
Journal:  PLoS One       Date:  2019-09-17       Impact factor: 3.240

  2 in total

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