2012 considers three factors to describe the likelihood of the occurrence of an incident scenario: the frequency of exposure of persons to the hazard, the probability of occurrence of the hazardous event and the technical and human possibilities of avoiding harm. The assessment of these factors can be quite controversial, especially when it concerns the amount of risk removable by protective measures: their mapping onto the risk factors is not always clear and this can lead to non-conservative over-estimations of the risk reduction. We propose a methodological framework compliant with ISO 12100 to systemically carry out repeatable risk analyses in support to the design of industrial machinery in which protective measures can be introduced to reduce risk. The methodology first proposes a scheme for identifying the contribution of PMs to the reduction of risk in a machinery under design. Then, the methodology classifies the protective measures and builds a clear mapping between these classes and the risk factors they impact on. This helps decision makers to identify the protective measures guaranteeing that the residual risk is acceptable. The methodology is applied to a real case study concerning a curing machine for tyre vulcanization, where it has proven to be beneficial for the clarity of the analysis and its repeatability. of the following three sub-attributes: (1) The frequency of exposure of persons to the hazard (Fr); in the risk matrix in Appendix A there are 5 exposure classes, which are assigned numerical values ranging from 1, in case of rare exposures with exposure time shorter than 10 min, to 5, for very frequent exposures. (2) The probability of occurrence of the hazardous event (Pr); this is expressed by an integer numerical value between 1, for negligible probability, and 5, in case of very high probabilities. (3) The technical and human possibilities of avoiding harm (Av); this attribute can take three possible values: 1, probable, 3, possible, and 5, impossible. Once the risk of a scenario is assessed, i.e., the severity of its consequences and the probability of its occurrence have been estimated, it is checked against a prefixed risk matrix (e.g., Appendix A ISO 12100, 2010; ISO/TR 14121-2, 2012) to establish whether it is acceptable or not. If not, some risk reduction measures are suggested by risk analysts

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