DEVELOPMENT OF AN AUTOMATED SYSTEM FOR CALCULATING OCCUPATIONAL SAFETY RISKS

Purpose. The purpose of the study is to develop an automated system for rapid risk assessment, which will simplify the process of risk identification and accounting. Design/methodology/approach. The study is based on the use of MS Excel as the main software environment for creating an automated risk calculation system (ARCS). The risk calculation methodology underlying the automated system is a modified Fine- Keeney method. Conclusions. An automated tool for calculating risks in the mining and processing industry has been developed that allows for quick identification, detailing and visualization of risk levels. A test of the automated risk calculation system confirmed the correct operation of all its elements. Limitations/consequences of research. The developed automated risk calculation system has proven to be adaptable to the specifics of the enterprise and its structural units, which allows it to be widely used at every stage of risk management. Practical consequences. The developed ARCS can be used by enterprises to quickly assess risks and make decisions to reduce their level. Originality/meaning. The proposed automated risk calculation system is an original solution for the mining and processing industry that combines ease of use with an appropriate level of calculation automation through the introduction of modern digital technologies.

Authors

Institutions

Publication Details

Journal
Labour protection problems in Ukraine
Published
2025-06-30
DOI
https://doi.org/10.36804/nndipbop.41-1-2.2025.22-28
Primary Topic
Engineering Diagnostics and Reliability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

DEVELOPMENT OF AN AUTOMATED SYSTEM FOR CALCULATING OCCUPATIONAL SAFETY RISKS

Volodymyr Shevchenkо, Ivan Petrenko
Labour protection problems in Ukraine
Engineering Diagnostics and Reliability
article

DEVELOPMENT OF AN AUTOMATED SYSTEM FOR CALCULATING OCCUPATIONAL SAFETY RISKS

Volodymyr Shevchenkо, Ivan Petrenko
article en

Abstract

Purpose. The purpose of the study is to develop an automated system for rapid risk assessment, which will simplify the process of risk identification and accounting. Design/methodology/approach. The study is based on the use of MS Excel as the main software environment for creating an automated risk calculation system (ARCS). The risk calculation methodology underlying the automated system is a modified Fine- Keeney method. Conclusions. An automated tool for calculating risks in the mining and processing industry has been developed that allows for quick identification, detailing and visualization of risk levels. A test of the automated risk calculation system confirmed the correct operation of all its elements. Limitations/consequences of research. The developed automated risk calculation system has proven to be adaptable to the specifics of the enterprise and its structural units, which allows it to be widely used at every stage of risk management. Practical consequences. The developed ARCS can be used by enterprises to quickly assess risks and make decisions to reduce their level. Originality/meaning. The proposed automated risk calculation system is an original solution for the mining and processing industry that combines ease of use with an appropriate level of calculation automation through the introduction of modern digital technologies.

Labour protection problems in UkraineVol. 41(1-2)
M.S. Poliakov Institute of Geotechnical Mechanics of the National Academy of Sciences of Ukraine (UA)
Openalex Percentile: Top 83%
Engineering Diagnostics and Reliability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.