Open AccessDecision-making process modeling for occupational safety management system based on a fuzzy analysis of production incidents
Author(s) -
A. Yu Semeykin,
I. A. Kochetkova,
Е. V. Klimova,
E. A. Nosatova,
A. O. Drozdova
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1333/7/072021
Subject(s) - risk analysis (engineering) , production (economics) , multivariate analysis , fuzzy logic , process (computing) , multivariate statistics , occupational safety and health , computer science , business , medicine , artificial intelligence , machine learning , pathology , economics , macroeconomics , operating system
The article proposes a decision-making model using a fuzzy analysis of production incidents for various factors. For the analysis, a database of factors of industrial incidents that occurred in the Belgorod region in 2007-2017 is used. The model is based on a quantitative assessment of the degree of belonging of the current value of the state parameters to each of the scenarios of severity of consequences at the corresponding point. This model is implemented in an expert decision support system for occupational safety and risk management. The use of such systems allows one to provide multivariate analysis of occupational injuries and occupational risk factors and to identify groups of workers for whom the level of occupational risk exceeds acceptable values.