The objective of this research is to examine the character of safety programs in not only reducing risk, but also in reducing relative risk uncertainty. This paper approximates the distributions of both the probability and severity of a mishap as lognormal and examines the likely behavior of the co-distribution as the safety process is executed. This paper also shows how differential forces across the risk plane reduce both the risk itself and the relative uncertainty in the risk at the same time. With this new approach, risk now becomes a quantitative item with a known probability distribution, providing a new metric for safety program effectiveness
When deciding whether to accept into service a new safety-critical system, or choosing between alter...
In many problems of risk analysis, failure is equivalent to the event of a random risk factor exceed...
Risk reduction means diminishing uncertainties and strengthening the knowledge. There are many ways ...
As a long time, System Safety engineer, working on major programs that implement system safety progr...
Traditional hazard analysis techniques utilize a two-dimensional representation of the results deter...
Group risk is usually represented by FN-curves showing the frequency of different accident sizes for...
We formalize the idea of probability distributions that lead to reliable predictions about some, but...
When deciding whether to accept into service a new safety-critical system, or choosing between alter...
The literature of risk, mitigation, and resilience is rich in classifications and recommendations. T...
The definition of risk introduced in the ISO 31000 standard of 2009 (2018) is uncertain goal achieve...
Probabilistic risk analysis (PRA) can be an effective tool to assess risks and uncertainties and to ...
A mathematical framework is presented that describes risk in the context of safety and security prob...
A risk-informed regulatory approach implies that risk insights be used as supplement of deterministi...
In this paper, Anatoli Yashin examines how changes in information about the risks associated with po...
Safety Management is intended to create order out of disorder, to reduce the “information entropy”, ...
When deciding whether to accept into service a new safety-critical system, or choosing between alter...
In many problems of risk analysis, failure is equivalent to the event of a random risk factor exceed...
Risk reduction means diminishing uncertainties and strengthening the knowledge. There are many ways ...
As a long time, System Safety engineer, working on major programs that implement system safety progr...
Traditional hazard analysis techniques utilize a two-dimensional representation of the results deter...
Group risk is usually represented by FN-curves showing the frequency of different accident sizes for...
We formalize the idea of probability distributions that lead to reliable predictions about some, but...
When deciding whether to accept into service a new safety-critical system, or choosing between alter...
The literature of risk, mitigation, and resilience is rich in classifications and recommendations. T...
The definition of risk introduced in the ISO 31000 standard of 2009 (2018) is uncertain goal achieve...
Probabilistic risk analysis (PRA) can be an effective tool to assess risks and uncertainties and to ...
A mathematical framework is presented that describes risk in the context of safety and security prob...
A risk-informed regulatory approach implies that risk insights be used as supplement of deterministi...
In this paper, Anatoli Yashin examines how changes in information about the risks associated with po...
Safety Management is intended to create order out of disorder, to reduce the “information entropy”, ...
When deciding whether to accept into service a new safety-critical system, or choosing between alter...
In many problems of risk analysis, failure is equivalent to the event of a random risk factor exceed...
Risk reduction means diminishing uncertainties and strengthening the knowledge. There are many ways ...