Open AccessSystem risk assessment based on the probabilistic model “exposure-susceptibility” at the enterprises of storage and processing of vegetable agricultural products
Author(s) -
А. И. Черемисин,
Yu. V. Esipov,
S Traypichkin,
Alesya Bukreeva
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/937/3/032073
Subject(s) - probabilistic logic , risk analysis (engineering) , probabilistic risk assessment , selection (genetic algorithm) , agriculture , computer science , risk assessment , business , computer security , machine learning , artificial intelligence , ecology , biology
At present, elements of probabilistic safety and risk assessment have been introduced into the design and analysis of complex technical systems, one of the main disadvantages of which is the difficulty due to the selection of initial data in the form of probabilities of initiating events. As a consequence, the use of known methodologies for quantifying risk can lead to either underestimation of threats or unreasonably high security costs. On the example of an enterprise for the storage and processing of vegetable agricultural products, an approach was considered for assessing the risk of a technical system based on the probabilistic model “exposure-susceptibility”.