Harnessing database resources for understanding the profile of chemical process industry incidents

Prem, Katherine P.; Ng, Dedy; Mannan, M. Sam

doi:10.1016/j.jlp.2010.05.003

Cited by 34 publications

(21 citation statements)

References 19 publications

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“…The European Railway Agency has introduced the concept of 'fatalities and weighted serious injuries (FWSI)', "whereby 1 serious injury is considered statistically equivalent to 0.1 fatality" (European Railway Agency, 2008). Furthermore, such logarithmic relationships may be inferred from empirically observed frequencies of occurrence of different consequences: According to (Prem, Ng et al, 2010) the observed frequency of occurrence of: minor injury; major injury; fatality; 10 fatalities; 100 fatalities, varies approximately by a factor of 10 from one category to the next. Such scaling will therefore be referenced as "basically logarithmic".…”

Section: Linear or Logarithmic Scalesmentioning

confidence: 99%

Recommendations on the use and design of risk matrices

2015

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Risk matrices are widely used in risk management. They are a regular feature in various risk management standards and guidelines and are also used as formal corporate risk acceptance criteria. It is only recently, however, that scientific publications have appeared that discuss the weaknesses of the risk matrix. The objective of this paper is to explore these weaknesses, and provide recommendations for the use and design of risk matrices. The paper reviews the few relevant publications and adds some observations of its own in order to emphasize existing recommendations and add some suggestions. The recommendations cover a range of issues, among them: the relation between coloring the risk matrix and the definition of risk and major hazard aversion; the qualitative, subjective assessment of likelihood and consequence; the scaling of the discrete likelihood and consequence categories; and the use of corporate risk matrix standards. Finally, it proposes a probability consequence diagram with continuous scales; providing, in some instances, an alternative to the risk matrix.

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Section: Linear or Logarithmic Scalesmentioning

confidence: 99%

Recommendations on the use and design of risk matrices

2015

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“…For instance, the nuclear power industry maintains significant databases of component part failures spanning many decades . The petroleum industry maintains similar databases . Mishap reports from similar systems to the SoI may also be useful…”

Section: Case Study and Resultsmentioning

confidence: 99%

“…103 The petroleum industry maintains similar databases. 104 Mishap reports from similar systems to the SoI may also be useful. 11 After careful analysis, three flows remain as viable irrationality initiators, including: Signal-Control-Analog, Material-Solid-Object, and Energy-Electromagnetic-Solar, as shown in Table 4.…”

Section: Identify Potential Irrational System Behaviorsmentioning

confidence: 99%

A method of identifying and analyzing irrational system behavior in a system of systems

Bossuyt

O’Halloran

Arlitt

2019

Systems Engineering

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System of interest (SoI) failures can sometimes be traced to an unexpected behavior occurring within another system that is a member of the system of systems (SoS) with the SoI. This article presents a method for use when designing an SoI that helps to analyze an SoS for unexpected behaviors from existing SoS members during the SoI's conceptual functional modeling phase of system architecture. The concept of irrationality initiators—unanticipated or unexpected failure flows emitted from one system that adversely impact an SoI, which appear to be impossible or irrational to engineers developing the new system—is introduced and implemented in a quantitative risk analysis method. The method is implemented in the failure flow identification and propagation framework to yield a probability distribution of failure paths through an SoI in the SoS. An example of a network of autonomous vehicles operating in a partially denied environment is presented to demonstrate the method. The method presented in this paper allows practitioners to more easily identify potential failure paths and prioritize fixing vulnerabilities in an SoI during functional modeling when significant changes can still be made with minimal impact to cost and schedule.

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“…The accident rate in the chemical process industry (CPI) has not decreasing in spite of all the efforts as shown by recent studies (Niemitz, 2010;Prem et al, 2010). The risk level of chemical process plant operation is higher than before and its complexity has increased significantly.…”

Section: Introductionmentioning

confidence: 99%