Semantic Scholar Open Access 2025

Improvement of the Data Collection System for Fire Risk Assessment at Industrial Enterprises in the Republic of Kazakhstan

S. Kudryavtsev P. Yemelin Aigerim Rakhimberlina S. Derbush M. Kinayatov

Abstrak

Despite significant progress in labor safety, improvements in process safety performance and the prevention of major accidents at hazardous industrial sites remain less apparent. Enhancing the efficiency of occupational and industrial safety management systems plays a crucial role in addressing this challenge, particularly by advancing risk assessment methods. However, a reliable evaluation of risks associated with hazardous industrial operations requires extensive statistical data. This article aims to critically assess current approaches to building databases in the fields of fire and industrial safety and to identify key criteria for their application in fire risk assessment methodologies using expert evaluation methods. It also addresses challenges related to the content and structure of such databases. The authors propose clusters of criteria parameters that can serve as the foundation for a methodological approach to fire safety risk assessment at industrial enterprises, leveraging expert evaluation techniques.

Penulis (5)

S

S. Kudryavtsev

P

P. Yemelin

A

Aigerim Rakhimberlina

S

S. Derbush

M

M. Kinayatov

Format Sitasi

Kudryavtsev, S., Yemelin, P., Rakhimberlina, A., Derbush, S., Kinayatov, M. (2025). Improvement of the Data Collection System for Fire Risk Assessment at Industrial Enterprises in the Republic of Kazakhstan. https://doi.org/10.52209/1609-1825_2025_4_50

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Informasi Jurnal
Tahun Terbit
2025
Bahasa
en
Sumber Database
Semantic Scholar
DOI
10.52209/1609-1825_2025_4_50
Akses
Open Access ✓