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Enterprise risk management (ERM) defines risk as those possible events or circumstances that can have negative influences on the enterprise in question, where the impact can be on the very existence, the resources (human and capital), the products and services, or the customers of the enterprise, as well as external impacts on society, markets ...
Risk is the lack of certainty about the outcome of making a particular choice. Statistically, the level of downside risk can be calculated as the product of the probability that harm occurs (e.g., that an accident happens) multiplied by the severity of that harm (i.e., the average amount of harm or more conservatively the maximum credible amount of harm).
There are a number of strategies that can be employed as one measure of defense or in a combination of multiple strategies together. A risk assessment is an important tool that should be incorporated in the process of identifying and determining the threats and vulnerabilities that could potentially impact resources and assets to help manage risk.
Mitigation planning identifies policies and actions that can be taken over the long term to reduce risk, and in the event of a disaster occurring, minimize loss. Such policies and actions are based on a risk assessment , using the identified hazards , vulnerabilities and probabilities of occurrence and estimates of impact to calculate risks ...
Risk control, also known as hazard control, is a part of the risk management process in which methods for neutralising or reduction of identified risks are implemented. . Controlled risks remain potential threats, but the probability of an associated incident or the consequences thereof have been significantly red
One point of possible objection interests the uncertainties associated with a PSA. The PSA (Probabilistic Safety Assessment) has often no associated uncertainty, though in metrology any measure shall be related to a secondary measurement uncertainty, and in the same way any mean frequency number for a random variable shall be examined with the dispersion inside the set of data.
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Operational variances can be avoided, whereas key variances can be managed (Bednar, 2020, p. 80). Both types of variance can be viewed as risk; understanding how to manage the risk will ease uncertainty. True variance management solutions can have a positive impact if the variance occurs.